1. Data Preparation
Data Import
Raw Data
We start by importing the data from the original CSV file exported from Qualtrics.
Code
dt_raw <- read.csv("../data/raw_data/Top+VE+Predictors-+All+countries_May+30,+2023_10.18.csv")
# import spss sav file if needed
# Looks like this is the correct and full dataset, wait for confirmation from Joce.
# dt_raw <- haven::read_sav(here("data", "raw data", "Top+VE+Predictors-+All+countries_May+30,+2023_10.18.sav"))
# import indonesia data
df_raw_ind <- read_excel(
path = "../data/raw_data/Indonesia Data.xlsx",
skip = 1, # skip row 1
col_names = TRUE # take the first *unskipped* row as names
)New names:
• `1. Humiliation` -> `1. Humiliation...55`
• `2. Shame` -> `2. Shame...56`
• `1. Humiliation` -> `1. Humiliation...58`
• `2. Shame` -> `2. Shame...59`Scale Mapping
To prepare the mapping file, you can run the following python command from your base folder terminal.
python3 full-annotated-code/mapping_prep_code.py
We then import the mapping file with the additional information on the scales.
Data Cleaning
Clean dataset issues
Raw data
Mapping data
Code
# add the import_id based on the primary attribute and the choice order
# Clean and split the choice_order column
tmp <- mapping_raw %>%
mutate(choice_order = str_replace_all(choice_order, "[\\[\\]']", "")) %>%
separate_rows(choice_order, sep = ", ") %>%
mutate(import_id = paste0(primary_attribute, "_", choice_order))
# Create the new import_id column
scale_mapping <- tmp %>%
left_join(csv_var_info, by = "import_id")
# add the subscale names
scale_mapping <- scale_mapping %>%
mutate(
csv_old_var_name_recode = case_when(
str_detect(csv_old_var_name, "[a-zA-Z]+\\.[a-zA-Z]+") ~ str_replace_all(csv_old_var_name, "\\.", "_"), # make underdashes if characters
TRUE ~ sub("\\..*", "", csv_old_var_name) # Remove everything after the dot if there are numbers
),
item_number = str_extract(csv_old_var_name_recode, "(?<=_)[^_]+$")
)
# Combined patterns
combined_patterns <- list(
"political_party_choice" = list("overall" = c("^Choose Political Party$")),
"moral_neutralization" = list("overall" = c("^moral_neut_.*$", "^moral_neut$", "^moral neut$")),
"anger" = list("overall" = c("^Anger_STAXI_.*$", "^Anger_STAXI$", "^Anger STAXI$", "^Anger$")),
"radical_attitudes" = list("overall" = c("^Radical_attitudes_.*$", "^Radical_attitudes$", "^Radical attitudes$", "^Radical Attitudes$")),
"panas" = list(
"overall" = c("^PANAS_.*$", "^PANAS$", "^panas$"),
"positive_affect" = c(1, 2, 3, 4, 5),
"negative_affect" = c(6, 7, 8, 9, 10)
),
"past_activism" = list("overall" = c("^past_activism_.*$", "^past activism.*$", "^past activism$", "^Past Activism$", "^past activism US$", "^past activism United$", "^past activism Saudi$")),
"collective_relative_deprivation" = list("overall" = c("^group_rel_dep_.*$", "^group rel dep.*$", "^group_rel_dep$", "^group rel dep$", "^Group relative dep$", "^Relative Deprivation$", "^Group relative dep.*$", "^Group relative dep US$", "^Group relative dep United$", "^Group relative dep Saudi$")),
"perceived_discrimination" = list("overall" = c("^perc_discrim_.*$", "^perc_discrim$", "^perc discrim$", "^Perc Discrim$", "^Perceived Discrimination$", "^Perc Discrim.*$", "^Perc Discrim US$", "^Perc Discrim United$", "^Perc Discrim Saudi$")),
"ingroup_superiority" = list("overall" = c("^ingroup_superior_.*$", "^ingroup_superior$", "^ingroup superior$", "^Ingroup Superiority$", "^ingroup superior.*$", "^ingroup superior US$", "^ingroup superior United$", "^ingroup superior Saudi$")),
"activist_intent" = list("overall" = c("^activist_intent_.*$", "^activist_intent$", "^activist intent.*$", "^activist intentions$", "^Activist Intentions$", "^activist intentions.*$", "^activist intentions US$", "^activist intentions United$", "^activist intentions Saudi$")),
"ideological_passion" = list(
"overall" = c("^passion_.*$", "^passion$", "^Passion.*$", "^Passion$", "^Passion US$", "^Passion United$", "^Passion Saudi$"),
"harmonious_passion" = c(1, 3, 5, 6, 8, 10),
"obsessive_passion" = c(2, 4, 7, 9, 11, 12),
"commitment_passion" = c(13, 14, 15, 16)
),
"identity_fusion" = list("overall" = c("^fusion_.*$", "^fusion$", "^identity_fusion_.*$", "^identity_fusion$", "^Identity Fusion$", "^identity fusion.*$", "^identity fusion US$", "^identity fusion United$", "^identity fusion Saudi$")),
"radical_intentions" = list(
"overall" = c("^Rad_intent_.*$", "^Rad_intent.*$", "^Rad intent.*$", "^Radical Intentions$", "^Radical intentions.*$", "^Radical intentions US$", "^Radical intentions United$", "^Radical intentions Saudi$"),
"violent_intent" = c(1, 2, 3, 4, 6),
"miscellaneous" = c(5),
"peaceful_intent" = c(7, 8, 9, 10, 11, 12)
),
"intuition_logic" = list(
"overall" = c("^Pontus_.*$", "^Pontus.*$", "^Pontus US$", "^Pontus United$", "^Pontus Saudi$"),
"intuition" = c(1),
"logic" = c(2)
),
"timing" = list("overall" = c(".*_First_Click.*$", ".*_Last_Click.*$", ".*_Page_Submit.*$", ".*_Click_Count.*$"))
)
# Function to match scales and subscales
match_scale_and_subscale <- function(scale_name, item_number) {
if (is.na(scale_name)) return(list(scale = "miscellaneous", subscale = "miscellaneous"))
for (scale in names(combined_patterns)) {
for (pattern in combined_patterns[[scale]]$overall) {
if (grepl(pattern, scale_name, ignore.case = TRUE)) {
subscale <- scale # Default to the scale name if no subscale matches
# Check if item_number matches any subscale
for (subscale_name in names(combined_patterns[[scale]])) {
if (subscale_name != "overall" && item_number %in% combined_patterns[[scale]][[subscale_name]]) {
subscale <- subscale_name
break
}
}
return(list(scale = scale, subscale = subscale))
}
}
}
return(list(scale = "miscellaneous", subscale = "miscellaneous"))
}
# Apply the matching function
scale_mapping <- scale_mapping %>%
rowwise() %>%
dplyr::mutate(
match_result = list(match_scale_and_subscale(scale_name, item_number)),
scale_name_recoded = match_result$scale,
subscale_name_recoded = match_result$subscale
) %>%
ungroup() %>%
select(-match_result) # Remove the temporary column
# Summarize which original scale names got added to each group
scale_mapping %>%
group_by(scale_name_recoded) %>%
summarise(original_names = paste(unique(scale_name), collapse = ", ")) %>%
ungroup() %>%
kable(., caption = "The following scales got recoded to new names") %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down"))| scale_name_recoded | original_names |
|---|---|
| activist_intent | Activist Intentions, activist intentions, activist intentions United, activist intentions US, activist intentions Saudi |
| anger | Anger STAXI |
| collective_relative_deprivation | Relative Deprivation, Group relative dep, Group relative dep United, Group relative dep US, Group relative dep Saudi |
| identity_fusion | Identity Fusion, identity fusion, identity fusion United, identity fusion US, identity fusion Saudi |
| ideological_passion | Passion, Passion United, Passion Saudi, Passion US |
| ingroup_superiority | Ingroup Superiority, ingroup superior, ingroup superior United, ingroup superior US, ingroup superior Saudi |
| intuition_logic | Pontus, Pontus United, Pontus US, Pontus Saudi |
| miscellaneous | Trash / Unused, , Debriefing, attention check |
| moral_neutralization | moral neut |
| panas | panas |
| past_activism | past activism, Past Activism, past activism US, past activism United, past activism Saudi |
| perceived_discrimination | Perceived Discrimination, Perc Discrim, Perc Discrim United, Perc Discrim US, Perc Discrim Saudia |
| political_party_choice | Choose Political Party |
| radical_attitudes | Radical Attitudes |
| radical_intentions | Radical intentions, Radical Intentions, Radical intentions United, Radical intentions Saudi, Radical intentions US |
Code
# Summarize which original scale names got added to each group
scale_mapping %>%
group_by(subscale_name_recoded) %>%
summarise(original_names = paste(unique(paste(scale_name_recoded, item_number, sep = "_")), collapse = ", ")) %>%
ungroup() %>%
kable(., caption = "The following subscales got recoded to new names") %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down")) %>%
scroll_box(width = "100%", height = "600px")| subscale_name_recoded | original_names |
|---|---|
| activist_intent | activist_intent_1, activist_intent_2, activist_intent_3, activist_intent_4, activist_intent_NA |
| anger | anger_1, anger_2, anger_3, anger_4, anger_5, anger_6, anger_7, anger_8, anger_9, anger_10, anger_NA |
| collective_relative_deprivation | collective_relative_deprivation_1, collective_relative_deprivation_2, collective_relative_deprivation_3, collective_relative_deprivation_4, collective_relative_deprivation_5, collective_relative_deprivation_6, collective_relative_deprivation_7, collective_relative_deprivation_NA |
| commitment_passion | ideological_passion_13, ideological_passion_14, ideological_passion_15, ideological_passion_16 |
| harmonious_passion | ideological_passion_1, ideological_passion_3, ideological_passion_5, ideological_passion_6, ideological_passion_8, ideological_passion_10 |
| identity_fusion | identity_fusion_1, identity_fusion_2, identity_fusion_3, identity_fusion_4, identity_fusion_5, identity_fusion_6, identity_fusion_7, identity_fusion_NA |
| ideological_passion | ideological_passion_NA |
| ingroup_superiority | ingroup_superiority_1, ingroup_superiority_2, ingroup_superiority_3, ingroup_superiority_4, ingroup_superiority_NA |
| intuition | intuition_logic_1 |
| intuition_logic | intuition_logic_NA |
| logic | intuition_logic_2 |
| miscellaneous | radical_intentions_5, miscellaneous_NA |
| moral_neutralization | moral_neutralization_1, moral_neutralization_2, moral_neutralization_3, moral_neutralization_4, moral_neutralization_5, moral_neutralization_6, moral_neutralization_7, moral_neutralization_8, moral_neutralization_9, moral_neutralization_10, moral_neutralization_11, moral_neutralization_12, moral_neutralization_13, moral_neutralization_14, moral_neutralization_15, moral_neutralization_16, moral_neutralization_NA |
| negative_affect | panas_6, panas_7, panas_8, panas_9, panas_10 |
| obsessive_passion | ideological_passion_2, ideological_passion_4, ideological_passion_7, ideological_passion_9, ideological_passion_11, ideological_passion_12 |
| panas | panas_NA |
| past_activism | past_activism_1, past_activism_2, past_activism_3, past_activism_4, past_activism_NA |
| peaceful_intent | radical_intentions_7, radical_intentions_8, radical_intentions_9, radical_intentions_10, radical_intentions_11, radical_intentions_12 |
| perceived_discrimination | perceived_discrimination_1, perceived_discrimination_2, perceived_discrimination_3, perceived_discrimination_4, perceived_discrimination_5, perceived_discrimination_6, perceived_discrimination_7, perceived_discrimination_8, perceived_discrimination_9, perceived_discrimination_10, perceived_discrimination_11, perceived_discrimination_NA |
| political_party_choice | political_party_choice_NA |
| positive_affect | panas_1, panas_2, panas_3, panas_4, panas_5 |
| radical_attitudes | radical_attitudes_1, radical_attitudes_2, radical_attitudes_3, radical_attitudes_NA |
| radical_intentions | radical_intentions_13, radical_intentions_NA |
| violent_intent | radical_intentions_1, radical_intentions_2, radical_intentions_3, radical_intentions_4, radical_intentions_6 |
Clean scale issues
Code
# make sure scales have the correct values
# Identify unique entries in the 'value' column
non_unique_values <- unique(scale_mapping$import_id[duplicated(scale_mapping$import_id) == TRUE])
if (length(non_unique_values) != 0) {
warning("There are duplicates in the ID column of the scale_mapping file. Currently values get recoded on the first match")
}
rm(non_unique_values)
values_df <- scale_mapping %>%
transmute(
import_id = import_id,
old_values = answers,
new_values = answer_recode
)
# Helper function to fix JSON strings
fix_json_format <- function(json_str) {
placeholder <- "PLACEHOLDER_SINGLE_QUOTE"
# Replace internal single quotes with a placeholder
json_str <- gsub("(?<=: \")([^\"]*?)'([^\"]*?)(?=\")", paste0("\\1", placeholder, "\\2"), json_str, perl = TRUE)
# Replace enclosing single quotes with double quotes
json_str <- gsub("'", "\"", json_str)
# Remove HTML tags
json_str <- gsub("<[^>]+>", "", json_str)
# Revert the placeholder back to single quotes
json_str <- gsub(placeholder, "'", json_str)
return(json_str)
}
# for testing
# df1 <- dt_raw
# df2 <- values_df
# col <- df1 %>% select(contains("732")) %>% names()
# col <- col[1]
# print_debug <- TRUE
# i = 1
# function for wrangling
recode_values <- function(df1, df2, print_debug = FALSE) {
# Create a list to store the reverse maps for each column
reverse_maps <- list()
# Initialize the progress bar if print_debug is FALSE
if (!print_debug) {
pb1 <- progress::progress_bar$new(
format = " Creating Reverse Maps [:bar] :percent in :elapsed",
total = nrow(df2),
width = 60
)
}
# Iterate over each row in df2 to create the reverse maps
for (i in 1:nrow(df2)) {
import_id <- df2$import_id[i]
old_values <- df2$old_values[i]
new_values <- df2$new_values[i]
if (print_debug) {
cat(paste0("Processing ", import_id, "....\n"))
} else {
pb1$tick()
}
# Fix the JSON format
if (!is.na(old_values)) {
old_values_fixed <- fix_json_format(old_values)
display_map <- jsonlite::fromJSON(old_values_fixed)
}
if (!is.na(new_values)) {
new_values_fixed <- fix_json_format(new_values)
value_map <- jsonlite::fromJSON(new_values_fixed)
}
# fix coding if both old_values and new_values exist
if (!is.na(old_values) && !is.na(new_values)) {
if (print_debug) {
cat("Using information from both the old and new values for wrangling....\n")
}
# Create a reverse map from display values to numeric values
reverse_map <- sapply(names(display_map), function(key) {
display_value <- display_map[[key]]$Display
numeric_value <- value_map[[key]]
return(c(display_value, numeric_value))
})
# fix coding if only old_values exist
} else if (!is.na(old_values) && is.na(new_values)) {
if (print_debug) {
cat("Using information only from the old values for wrangling....\n")
}
# Create a reverse map using only old_values
reverse_map <- sapply(names(display_map), function(key) {
display_value <- display_map[[key]]$Display
numeric_value <- key
return(c(display_value, numeric_value))
})
} else {
if (print_debug) {
cat("No information on either old and new values. Continuing to next column....\n")
}
next
}
# Convert the reverse map to a named vector for easy lookup
reverse_map <- setNames(reverse_map[2, ], reverse_map[1, ])
# Store the reverse map in the list
reverse_maps[[import_id]] <- reverse_map
}
# Initialize the progress bar for the second loop if print_debug is FALSE
if (!print_debug) {
pb2 <- progress::progress_bar$new(
format = " Recoding Values [:bar] :percent in :elapsed",
total = length(colnames(df1)),
width = 60
)
}
# Apply the reverse maps to df1
for (col in colnames(df1)) {
if (col %in% names(reverse_maps)) {
if (print_debug) {
print(paste0("Recoding ", col, "..."))
} else {
pb2$tick()
}
reverse_map <- reverse_maps[[col]]
# Debug: Print reverse_map to ensure it is correct
if (print_debug) {
print("Reverse map being used:")
print(reverse_map)
}
# Normalize function to ensure no invisible differences
normalize_string <- function(s) {
s <- stringr::str_trim(s) # Trim whitespace
s <- iconv(s, to = "UTF-8") # Ensure consistent encoding
s <- stringr::str_squish(s) # Remove any extra spaces within the string
return(s)
}
# for testing
# value = df1[[col]]
return_values <- lapply(df1[[col]], function(value) {
# Check if value is NA
if (is.na(value)) {
mapped_value <- NA
} else {
# Normalize both old value and keys in reverse map
old_value <- normalize_string(value)
reverse_map_normalized <- sapply(names(reverse_map), normalize_string)
# Additional Debugging: Print exact characters and lengths
if (print_debug) {
print(paste0("Old value: '", old_value, "' (Exact: ", dput(old_value), ", Length: ", nchar(old_value), ")"))
print("Normalized reverse_map keys:")
print(reverse_map_normalized)
}
# Safely map the value
if (old_value %in% reverse_map_normalized) {
mapped_value <- reverse_map[[which(reverse_map_normalized == old_value)]]
} else if (old_value %in% unlist(reverse_map)) {
# If the old_value is numeric ('0' or '1'), reverse lookup
mapped_value <- names(reverse_map)[which(unlist(reverse_map) == old_value)]
} else {
mapped_value <- NA
}
# Debug: Print the mapping result
if (print_debug) {
print(paste0("Mapped value: '", mapped_value, "' (Exact: ", dput(mapped_value), ", Length: ", nchar(mapped_value), ")"))
}
}
# Return both old and mapped values for inspection
return_values <- tibble(
old_values = value,
mapped_values = mapped_value
)
return(return_values)
})
# Convert the list of tibbles to a single tibble or data frame
return_values_df <- bind_rows(return_values)
# Check for NA values and print warning if any
na_indices <- which(is.na(return_values_df$mapped_values) & !is.na(return_values_df$old_values))
if (length(na_indices) > 0) {
warning(
paste0("NAs introduced in column '", col, "' for the following original values: ",
paste(unique(df1[[col]][na_indices]), collapse = ", "),
".\nReverse map used: ", paste(names(reverse_map), collapse = ", "))
)
}
# Update the dataframe with mapped values
df1[[col]] <- return_values_df$mapped_values
} else if (!print_debug) {
pb2$tick() # Update progress bar even if the column is not in reverse_maps
}
}
return(df1)
}
# Apply the function
file_path <- "../data/wrangled_data/dt_raw_recode.RData"
if (file.exists(file_path)) {
cat("Recoded file already exists. Delete it for rerunning the recoding. Loading the recoded data...\n")
load(file_path) # This loads the object into the environment
} else {
cat("We first recode the values based on the QSF and SPSS files....\n")
dt_raw_recode <- recode_values(dt_raw, values_df, print_debug = FALSE)
# rename this column because weird
names(dt_raw_recode)[names(dt_raw_recode) == "_recordId"] <- "response_id"
save(dt_raw_recode, file = file_path)
}Recoded file already exists. Delete it for rerunning the recoding. Loading the recoded data…
Indonesian data
Code
# load and clean (we import the import which has structured headers)
dt_raw_indo <- read.csv("../data/raw_data/Indonesia_Data_import.csv", sep = ";")
# information to map scales
dt_raw_indo %>%
slice(1) %>% # grab first row
pivot_longer( # turn wide → long
cols = everything(),
names_to = "item",
values_to = "description"
) %>%
kable( # render as table
caption = "Scale items and their description. We use them to harmonize the Indonesian dataset with the base dataset."
) %>%
kable_styling(
full_width = FALSE,
latex_options = c("hold_position", "scale-down")
) %>%
scroll_box(width = "100%", height = "600px")| item | description |
|---|---|
| response_id | no |
| gender | gender |
| age | age |
| religion | religion |
| education | education |
| educode | educode |
| status | status |
| job | job |
| residence | residence |
| income | income |
| incode | incode |
| moral_neutralization_indo_01 | 1. It is alright to fight to protect your friends. |
| moral_neutralization_indo_02 | 2. It is alright to beat somebody who doesn’t respect your friends. |
| moral_neutralization_indo_03 | 3. It is okay to join in when someone you don’t like is being bullied. |
| moral_neutralization_indo_04 | 4. Sometimes it is okay to bully other people. |
| moral_neutralization_indo_05 | 5. Bullying is just a normal part of childhood. |
| moral_neutralization_indo_06 | 6. People sometimes need to be hit. |
| moral_neutralization_indo_07 | 7. Only a coward would ever walk away from a fight. |
| moral_neutralization_indo_08 | 8. It is ok to get in a physical fight with someone if you have to stand up to protect your rights. |
| moral_neutralization_indo_09 | 9. Many problems can be solved with violence. |
| moral_neutralization_indo_10 | 10. Some kids need to be picked on just to teach them a lesson. |
| moral_neutralization_indo_11 | 11. Getting bullied helps to make people tougher. |
| moral_neutralization_indo_12 | 12. If someone acts like a jerk, it is ok to treat them badly. |
| moral_neutralization_indo_13 | 13. Some kids get bullied because they deserve it. |
| moral_neutralization_indo_14 | 14. Most students who get bullied have themselves to blame. |
| moral_neutralization_indo_15 | 15.You should hurt people first, before they hurt you. |
| moral_neutralization_indo_16 | 16. It is ok to bad-mouth other people, they bad-mouth you too. |
| anger_indo_01 | 1. I feel infuriated when I do a good job and receive a poor evaluation |
| anger_indo_02 | 2. I feel annoyed when I am not given recognition for doing good work |
| anger_indo_03 | 3. It makes me furious when I am criticized in front of others |
| anger_indo_04 | 4. I react angrily |
| anger_indo_05 | 5. I get angry when I'm slowed down by others' mistakes |
| anger_indo_06 | 6. When I get frustrated I feel like hitting someone |
| anger_indo_07 | 7. When I get mad I say nasty things |
| anger_indo_08 | 8. I lose control of my anger |
| anger_indo_09 | 9. I am a person that gets angry easily |
| anger_indo_10 | 10. I am quick to get angry |
| positive_affect_indo_01 | 1. Determined |
| positive_affect_indo_02 | 2. Attentive |
| positive_affect_indo_03 | 3. Alert |
| positive_affect_indo_04 | 4. Inspired |
| positive_affect_indo_05 | 5. Active |
| negative_affect_indo_01 | 6. Afraid |
| negative_affect_indo_02 | 7. Nervous |
| negative_affect_indo_03 | 8. Upset |
| negative_affect_indo_04 | 9. Ashamed |
| negative_affect_indo_05 | 10. Hostile |
| identity_fusion_indo_01 | 1. I am one with the cause of the Islamic Organization |
| identity_fusion_indo_02 | 2. I feel immersed in the cause of the Islamic Organization. |
| identity_fusion_indo_03 | 3. I have a deep emotional bond with the cause of the Islamic Organization |
| identity_fusion_indo_04 | 4.The cause of the Islamic Organization is me. |
| identity_fusion_indo_05 | 5. I’ll do for the cause of the Islamic Organization more than any of the other group members would do. |
| identity_fusion_indo_06 | 6. I am strong because of the cause of the Islamic Organization. |
| identity_fusion_indo_07 | 7. I make the cause of the Islamic Organization strong. |
| personal_loss_of_significance_01 | 1. Humiliation |
| personal_loss_of_significance_02 | 2. Shame |
| personal_loss_of_significance_03 | 3. People laughing at you |
| collective_loss_of_significance_01 | 1. Humiliation |
| collective_loss_of_significance_02 | 2. Shame |
| collective_loss_of_significance_03 | 3. People laughing at members of the Islamic Organization |
| ingroup_superiority_indo_01 | 1. I believe that supporters of the Islamic Party/Organization are better people than people who endorse another political party. |
| ingroup_superiority_indo_02 | 2. I think everyone should be a supporter of the Islamic Party/Organization. |
| ingroup_superiority_indo_03 | 3. I think supporters of the Islamic Party/Organization are very special people who are destined to change things in the world. |
| ingroup_superiority_indo_04 | 4. Islamic Party/Organization is better tthan other political parties. |
| Attention.Check.1 | 5. Choose the number four from the following response options. |
| perceived_discrimination_indo_01 | 1.People have talked down to me because I support the Islamic Party/Organization |
| perceived_discrimination_indo_02 | 2. People have acted like I am immoral because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_03 | 3. People have treated me like I am lazy because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_04 | 4. People have expected me to be dishonest because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_05 | 5. Others have teased me because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_06 | 6. People have questioned my intelligence because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_07 | 7. I have been made to feel stupid because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_08 | 8. I have been treated like I am inferior because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_09 | 9. I have been told that I am too closed-minded because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_10 | 10. I have been socially ostracized by others because I am a supporter of the Islamic Party/Organization. |
| perceived_discrimination_indo_11 | 11. I have been undervalued because I am a supporter of the Islamic Party/Organization. |
| activist_intent_indo_01 | 1. I would join or belong to an organization that fights for Islamic Group's political and legal rights. |
| activist_intent_indo_02 | 2. I would donate money to an organization that fights for the Islamic Group's political and legal rights. |
| activist_intent_indo_03 | 3. I would volunteer my time working (i.e. write petitions, distribute flyers, recruit people, etc.) for an organization that fights for the Islamic Group's political and legal rights. |
| activist_intent_indo_04 | 4. I would travel for one hour to join in a public rally, protest, or demonstration in support of the Islamic Party/Organization |
| collective_relative_deprivation_indo_01 | 1. Supporters of the Islamic Party/Organization should have the same opportunities to improve their lives as others have. |
| collective_relative_deprivation_indo_02 | 2. Supporters of the Islamic Party/Organization always seem to be at the bottom and others at the top of the social ladder. |
| collective_relative_deprivation_indo_03 | 3. I feel furious about supporters of Islamic Party/Organization having limited opportunities to get ahead in their lives. |
| collective_relative_deprivation_indo_04 | 4. I think supporters of the Islamic Party/Organization are disadvantaged because others oppress them. |
| collective_relative_deprivation_indo_05 | 5. Supporters of the Islamic Party/Organization are disadvantaged because others keep them down. |
| collective_relative_deprivation_indo_06 | 6. I feel angry because people discriminate against supporters of the Islamic Party/Organization |
| harmonious_passion_indo_01 | 1. My involvement in the Islamic Party/Organization is in harmony with the other activities in my life. |
| harmonious_passion_indo_02 | 2. The new things that I discover about my involvement in the Islamic Party/Organization allow me to appreciate it even more. |
| harmonious_passion_indo_03 | 3. My involvement in the Islamic Party/Organization reflects the qualities I like about myself. |
| harmonious_passion_indo_04 | 4. My involvement in the Islamic Party/Organization allows me to live a variety of experiences. |
| harmonious_passion_indo_05 | 5. My involvement in the Islamic Party/Organization is well integrated in my life. |
| harmonious_passion_indo_06 | 6. My involvement in the Islamic Party/Organization is in harmony with other things that are part of me. |
| obsessive_passion_indo_01 | 7. I have difficulties controlling my urge to being involved in the Islamic Party/Organization |
| obsessive_passion_indo_02 | 8. I have almost an obsessive feeling for being involved in the Islamic Party/Organization |
| obsessive_passion_indo_03 | 9. My involvement in the Islamic Party/Organization is the only thing that captivates me. |
| obsessive_passion_indo_04 | 10. If I could, I would only keep getting involved in the Islamic Party/Organization. |
| obsessive_passion_indo_05 | 11. My involvement in the Islamic Party/Organization is so exciting that I sometimes lose control over it. |
| obsessive_passion_indo_06 | 12. I have the impression that my involvement in the Islamic Party/Organization controls me. |
| commitment_passion_indo_01 | 13. I spend a lot of time thinking about the Islamic Party/Organization |
| commitment_passion_indo_02 | 14. I like the Islamic Party/Organization |
| commitment_passion_indo_03 | 15. The Islamic Party/Organization is important for me. |
| commitment_passion_indo_04 | 16. The Islamic Party/Organization is a passion for me. |
| violent_intents_indo_01 | 1. Doing risky or illegal actions to help the Islamic Party/Organization in Indonesia win the next elections. |
| violent_intents_indo_02 | 2. Harassing people who ridicule or oppose the Islamic Party/Organization in Indonesia. |
| violent_intents_indo_03 | 3. Physically attack people who ridicule or oppose the Islamic Party/Organization in Indonesia. |
| violent_intents_indo_04 | 4. Destroy signs that ridicule or oppose the Islamic Party/Organization in Indonesia. |
| violent_intents_indo_05 | 5. Put an end to my friendship with anyone who ridicules or opposes the Islamic Party/Organization in Indonesia |
| violent_intents_indo_06 | 6. Using any means, even violent ones, to help the Islamic Party/Organization in Indonesia |
| peaceful_intents_07 | 7. Sending e-mails or news about the Islamic Party/Organization in Indonesia to my friends. |
| peaceful_intents_08 | 8. Organizing fundraising activities for the Islamic Party/Organization in Indonesia |
| peaceful_intents_09 | 9. Raising public awareness about the Islamic Party/Organization in Indonesia |
| peaceful_intents_10 | 10. Sensitizing close relatives or colleagues about the importance of the Islamic Party/Organization in Indonesia |
| peaceful_intents_11 | 11. Organizing social activities to increase people's awareness about the Islamic Party/Organization in Indonesia |
| peaceful_intents_12 | 12. Financially supporting people or organizations that promote the Islamic Party/Organization in Indonesia |
| past_activism_indo_01 | 1.Invited a friend to attend a meeting of a Islamic Party/Organization? |
| past_activism_indo_02 | 2. Donated money to a political candidate of the Islamic political party? |
| past_activism_indo_03 | 3. Attended a meeting of a Islamic Party/Organization? |
| past_activism_indo_04 | 4. Donated money to a Islamic Party/Organization? |
| intuition_indo_01 | 1. I have faith |
| logic_indo_02 | 2. I know it logically |
| attention_check_02 | 3. Choose the number one from the following response options. |
| radical_attitudes_indo_01 | 1. It is acceptable to use violence to further a cause. |
| radical_attitudes_indo_02 | 2. Violence is necessary for social change. |
| radical_attitudes_indo_03 | 3. Violence is an acceptable means to further a cause. |
Recode
Code
# 1. Define your maps as named vectors
gender_map <- c(
female = "Female",
male = "Male"
)
education_map <- c(
"completed elementary school or equivalent" = "Primary education",
"did not complete junior high school or equivalent" = "Primary education",
"completed junior high school or equivalent" = "General secondary education",
"did not complete senior high school or equivalent" = "General secondary education",
"completed senior high school or equivalent" = "General secondary education",
"completed D3/diploma" = "Vocational education",
"completed bachelor's degree (S1) or equivalent" = "Bachelors degree",
"did not complete bachelor's degree (S1) or equivalent" = "Higher education",
"completed master's degree (S2) or doctorate (S3) or equivalent" = "Masters degree",
"did not complete master's degree (S2) or doctorate (S3) or equivalent" = "Higher education"
)
# 2. Turn them into a data.frame
map_df <- bind_rows(
tibble(scale = "gender", original = names(gender_map), recoded = unname(gender_map)),
tibble(scale = "education", original = names(education_map),recoded = unname(education_map))
)
# 3. Print as a table
map_df %>%
select(scale, original, recoded) %>%
kable(
caption = "Scale items and their description.\nWe use them to harmonize the Indonesian dataset with the base dataset.",
col.names = c("Scale","Original label","Recoded label")
) %>%
kable_styling(
full_width = FALSE,
latex_options = c("hold_position", "scale-down")
) %>%
scroll_box(width = "100%", height = "600px")| Scale | Original label | Recoded label |
|---|---|---|
| gender | female | Female |
| gender | male | Male |
| education | completed elementary school or equivalent | Primary education |
| education | did not complete junior high school or equivalent | Primary education |
| education | completed junior high school or equivalent | General secondary education |
| education | did not complete senior high school or equivalent | General secondary education |
| education | completed senior high school or equivalent | General secondary education |
| education | completed D3/diploma | Vocational education |
| education | completed bachelor's degree (S1) or equivalent | Bachelors degree |
| education | did not complete bachelor's degree (S1) or equivalent | Higher education |
| education | completed master's degree (S2) or doctorate (S3) or equivalent | Masters degree |
| education | did not complete master's degree (S2) or doctorate (S3) or equivalent | Higher education |
Code
Creating merge dataframe. Response_id remains the same. Age gets stored in QID18_Text and QID19 (later religion) gets set to Muslim as all Indonesian participants were Muslim. Gender and education get recoded as described above.
Code
Also adding items that were measured the same across all surveys. These include moral neutralization, radical attitudes, anger as well as positive and negative affect.
Code
Only item that got harmonized is the third negative affect item. In the original dataframe it was measured with the item ‘Sad’. In Indonesia it was measured with ‘Upset’.
Code
dt_raw_indo_recode <- dt_raw_indo %>%
transmute(
response_id = response_id,
QID18_TEXT = age,
QID20 = recode(gender, !!!gender_map, .default = "other"),
QID99 = recode(education,!!!education_map,.default = NA_character_),
QID19 = "Muslims",
progress = "100", # all finished
C = "Indonesia",
# moral neutralization
QID66_1 = moral_neutralization_indo_01,
QID66_4 = moral_neutralization_indo_02,
QID66_5 = moral_neutralization_indo_03,
QID66_6 = moral_neutralization_indo_04,
QID66_7 = moral_neutralization_indo_05,
QID66_8 = moral_neutralization_indo_06,
QID66_9 = moral_neutralization_indo_07,
QID66_10 = moral_neutralization_indo_08,
QID66_11 = moral_neutralization_indo_09,
QID66_12 = moral_neutralization_indo_10,
QID66_13 = moral_neutralization_indo_11,
QID66_14 = moral_neutralization_indo_12,
QID66_15 = moral_neutralization_indo_13,
QID66_16 = moral_neutralization_indo_14,
QID66_17 = moral_neutralization_indo_15,
QID66_18 = moral_neutralization_indo_16,
# radical attitudes
QID73_1 = radical_attitudes_indo_01,
QID73_4 = radical_attitudes_indo_02,
QID73_5 = radical_attitudes_indo_03,
# anger
QID72_1 = anger_indo_01,
QID72_2 = anger_indo_02,
QID72_3 = anger_indo_03,
QID72_10 = anger_indo_04,
QID72_4 = anger_indo_05,
QID72_5 = anger_indo_06,
QID72_6 = anger_indo_07,
QID72_7 = anger_indo_08,
QID72_8 = anger_indo_09,
QID72_9 = anger_indo_10,
# positive affect
QID47_1 = positive_affect_indo_01,
QID47_32 = positive_affect_indo_02,
QID47_33 = positive_affect_indo_03,
QID47_34 = positive_affect_indo_04,
QID47_35 = positive_affect_indo_05,
# negative affect
QID47_36 = negative_affect_indo_01,
QID47_37 = negative_affect_indo_02,
QID47_38 = negative_affect_indo_03,
QID47_39 = negative_affect_indo_04,
QID47_40 = negative_affect_indo_05
)Code
# load the manually prepared scale_info_indonesia file
dt_scale_info_indo <- read.csv("../data/mapping/scale_info_indonesia.csv", sep = ";")
# add them to dt_raw_indo
# 1) grab the vector of new items
new_items <- dt_scale_info_indo$item
# 2) make sure they actually exist in dt_raw_indo
new_items <- intersect(new_items, names(dt_raw_indo))
# (optional) warn if any expected columns are missing
missing_items <- setdiff(dt_scale_info_indo$item, new_items)
if (length(missing_items)) {
warning("These items weren't found in dt_raw_indo: ",
paste(missing_items, collapse = ", "))
}
# 3) bind them on as new columns
cat("We are recoding past activism from No-Yes to 0-1.")We are recoding past activism from No-Yes to 0-1.
Combine Datasets
Code
# 1) Identify which names overlap vs. which are brand‐new
old_cols <- intersect(names(dt_raw_recode), names(dt_raw_indo_recode))
new_cols <- setdiff(names(dt_raw_indo_recode), names(dt_raw_recode))
# 2) Actually merge your two data‐frames, unioning all columns
dt_raw_recode <- bind_rows(dt_raw_recode, dt_raw_indo_recode)
# 3) Build a little comparison table
max_len <- max(length(old_cols), length(new_cols))
tibble(
Already_in_dt_raw = c(old_cols, rep(NA, max_len - length(old_cols))),
Added_new = c(new_cols, rep(NA, max_len - length(new_cols)))
) %>%
kable(., caption = "Old and new columns added from Indonesia dataset. Merged columns on the left. New ones on the right.", digits = 2) %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down")) %>%
scroll_box(width = "100%", height = "600px")| Already_in_dt_raw | Added_new |
|---|---|
| progress | identity_fusion_indo_01 |
| response_id | identity_fusion_indo_02 |
| QID18_TEXT | identity_fusion_indo_03 |
| QID19 | identity_fusion_indo_04 |
| QID20 | identity_fusion_indo_05 |
| QID99 | identity_fusion_indo_06 |
| QID66_1 | identity_fusion_indo_07 |
| QID66_4 | ingroup_superiority_indo_01 |
| QID66_5 | ingroup_superiority_indo_02 |
| QID66_6 | ingroup_superiority_indo_03 |
| QID66_7 | ingroup_superiority_indo_04 |
| QID66_8 | collective_relative_deprivation_indo_01 |
| QID66_9 | collective_relative_deprivation_indo_02 |
| QID66_10 | collective_relative_deprivation_indo_03 |
| QID66_11 | collective_relative_deprivation_indo_04 |
| QID66_12 | collective_relative_deprivation_indo_05 |
| QID66_13 | collective_relative_deprivation_indo_06 |
| QID66_14 | past_activism_indo_01 |
| QID66_15 | past_activism_indo_02 |
| QID66_16 | past_activism_indo_03 |
| QID66_17 | past_activism_indo_04 |
| QID66_18 | perceived_discrimination_indo_01 |
| QID72_1 | perceived_discrimination_indo_02 |
| QID72_2 | perceived_discrimination_indo_03 |
| QID72_3 | perceived_discrimination_indo_04 |
| QID72_10 | perceived_discrimination_indo_05 |
| QID72_4 | perceived_discrimination_indo_06 |
| QID72_5 | perceived_discrimination_indo_07 |
| QID72_6 | perceived_discrimination_indo_08 |
| QID72_7 | perceived_discrimination_indo_09 |
| QID72_8 | perceived_discrimination_indo_10 |
| QID72_9 | perceived_discrimination_indo_11 |
| QID47_1 | activist_intent_indo_01 |
| QID47_32 | activist_intent_indo_02 |
| QID47_33 | activist_intent_indo_03 |
| QID47_34 | activist_intent_indo_04 |
| QID47_35 | intuition_indo_01 |
| QID47_36 | logic_indo_02 |
| QID47_37 | violent_intents_indo_01 |
| QID47_38 | violent_intents_indo_02 |
| QID47_39 | violent_intents_indo_03 |
| QID47_40 | violent_intents_indo_04 |
| QID73_1 | violent_intents_indo_06 |
| QID73_4 | peaceful_intents_07 |
| QID73_5 | peaceful_intents_08 |
| C | peaceful_intents_09 |
| NA | peaceful_intents_10 |
| NA | peaceful_intents_11 |
| NA | peaceful_intents_12 |
| NA | harmonious_passion_indo_01 |
| NA | obsessive_passion_indo_01 |
| NA | harmonious_passion_indo_02 |
| NA | obsessive_passion_indo_02 |
| NA | harmonious_passion_indo_03 |
| NA | harmonious_passion_indo_04 |
| NA | obsessive_passion_indo_03 |
| NA | harmonious_passion_indo_05 |
| NA | obsessive_passion_indo_04 |
| NA | harmonious_passion_indo_06 |
| NA | obsessive_passion_indo_05 |
| NA | obsessive_passion_indo_06 |
| NA | commitment_passion_indo_01 |
| NA | commitment_passion_indo_02 |
| NA | commitment_passion_indo_03 |
| NA | commitment_passion_indo_04 |
Clean participant issues
Code
# Identify people who did not finish
no_finish <- dt_raw_recode %>%
filter(as.numeric(progress) < 98) %>%
select(response_id, progress)
if (nrow(no_finish) == 0) {
cat(paste("Everyone finished the survey. Continuing the code....\n"))
rm(no_finish)
} else {
cat(paste("There is a total of", nrow(no_finish), "people who did not finish the survey.\n"))
cat(paste("Here is a list of people that did not finish the survey:\n"))
no_finish %>%
kable(., caption = "People who did not finish the survey", digits = 2) %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down"))
}Everyone finished the survey. Continuing the code….
Code
multiple_entries <- dt_raw_recode %>%
# 1) remove any rows where the IP is missing
filter(!is.na(ipAddress)) %>%
group_by(ipAddress) %>%
filter(n() > 1) %>%
select(response_id, ipAddress) %>%
arrange(ipAddress)
if (nrow(multiple_entries) == 0) {
cat("There are no duplicate IP addresses. Continuing the code....\n")
rm(multiple_entries)
} else {
cat("There is a total of", nrow(multiple_entries), "duplicate IP addresses.\n")
cat("Here is an excerpt from the list of duplicate IP addresses:\n")
multiple_entries %>%
head(20) %>%
kable(caption = "Duplicate IP addresses", digits = 2) %>%
kable_styling(full_width = FALSE,
latex_options = c("hold_position", "scale-down"))
}There is a total of 135 duplicate IP addresses. Here is an excerpt from the list of duplicate IP addresses:
| response_id | ipAddress |
|---|---|
| R_zZ7J0YyLz2kCbpT | 102.89.47.113 |
| R_2eQgiUISZQogUQJ | 102.89.47.113 |
| R_3IaTp8on3hjqSMC | 103.69.247.230 |
| R_1kLZoIMbb1kGuOE | 103.69.247.230 |
| R_3QLzYq5TbmS6w4s | 109.233.22.182 |
| R_bpZMNDqcT1K0BXz | 109.233.22.182 |
| R_uvQNcmsp11hWWQx | 109.40.242.238 |
| R_s7GBT7G2uS1hPyN | 109.40.242.238 |
| R_3nJnrdYQZRFqMkm | 122.2.99.28 |
| R_2Qs8RcQvWPNS8x5 | 122.2.99.28 |
| R_2sWHQ2vCZuORqCI | 142.118.99.186 |
| R_1Ny1MGeeipIGq1w | 142.118.99.186 |
| R_2SvlgYNW8dh9rLk | 143.55.138.74 |
| R_2wyFDxnXKLtgxIb | 143.55.138.74 |
| R_1C46lXfQzjqfcKt | 168.187.67.214 |
| R_1rPOrOoNO8HedKU | 168.187.67.214 |
| R_3ixIvo1QBzgTRkl | 172.58.228.133 |
| R_PHTlTqhgXWcaSrL | 172.58.228.133 |
| R_VRuJsIIY2Yo0P97 | 172.59.187.29 |
| R_1LdsM0arpEAoODA | 172.59.187.29 |
Code
# Identify people who are either too old or too young
age_wrong <- dt_raw_recode %>%
mutate(age = as.numeric(QID18_TEXT)) %>%
filter(age < 18 | age > 155) %>%
select(response_id, age)
if (nrow(age_wrong) == 0) {
cat(paste("Everyone has the correct age. Continuing the code....\n"))
rm(age_wrong)
} else {
cat(paste("There is a total of", nrow(age_wrong), "people who have the wrong age (non-sensical entry or too young).\n"))
cat(paste("Here is an exerpt of people that fall into this category:\n"))
age_wrong %>%
head(., 20) %>%
kable(., caption = "People who have the wrong age") %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down"))
}There is a total of 178 people who have the wrong age (non-sensical entry or too young). Here is an exerpt of people that fall into this category:
| response_id | age |
|---|---|
| R_3qr0wBYr6uH1lhD | 14.00 |
| R_2ScM0xTeYkz0G2F | 1.00 |
| R_WxH2YnRRPMAJFjH | 75020.00 |
| R_1im4X6hF7yoRByw | 1990.00 |
| R_u4e7XLn50KdmRnX | 2.00 |
| R_2ccnjI9DMHQIJG1 | 0.41 |
| R_2t2W08ZcpN3BqqS | 77019034.00 |
| R_1mQrcvoLI1PmUvi | 1953.00 |
| R_2wGNtB4dJQvGAIr | 12.00 |
| R_2EgE9ghiOgpbuVJ | 1967.00 |
| R_2cj67mGRFppgKIr | 17.00 |
| R_WDaOPfHvQnsuNX3 | 2.00 |
| R_3JBc11gPiFbMNnr | 1274.00 |
| R_2qeHkNmZfTrEQba | 15.00 |
| R_3NEA0PWO2jmYoqg | 15.00 |
| R_2wpjLbEvjkco4Sd | 45660.00 |
| R_2uWJq3sLg80ynt6 | 16.00 |
| R_2wbqrdX3d2BMFV6 | 16.00 |
| R_2YfjLbn6hHtwqkX | 15.00 |
| R_3ndVW8ucm9RPQBb | 37545.00 |
Store Cleaned data
Code
# Filter cleaned data set
dt_clean <- dt_raw_recode
if (exists("no_finish")) {
dt_clean <- dt_clean %>%
anti_join(no_finish, by = "response_id")
}
if (exists("multiple_entries")) {
dt_clean <- dt_clean %>%
anti_join(multiple_entries, by = "response_id")
}
if (exists("age_wrong")) {
dt_clean <- dt_clean %>%
anti_join(age_wrong, by = "response_id")
}
# Convert labeled values to numeric
if (dt_raw_type == "sav") {
dt_clean <- dt_clean %>% mutate(across(where(is.character), function(x) {
as.numeric(gsub(".*- ", "", x))
}))
}
# Ensure the directory exists
dir.create("../data/wrangled_data",
recursive = TRUE,
showWarnings = FALSE)
# Save the data frame as a Parquet file
write_parquet(dt_clean, "../data/wrangled_data/dt_clean.parquet")
# Verify the file exists
if (!file.exists("../data/wrangled_data/dt_clean.parquet")) {
stop("Error: File not created successfully.")
} else {
cat("File created successfully.")
}File created successfully.
Variable Preparation
Code
# Function to find columns containing a specific string
find_columns_with_string <- function(data, search_string) {
# Apply grepl across all columns and check if the search_string is in any column
column_matches <- sapply(data, function(column) {
any(grepl(search_string, column, ignore.case = TRUE))
})
# Return the names of the columns that match
matching_columns <- names(data)[column_matches]
return(matching_columns)
}
# Example usage
# search_string <- "Algeria"
# matching_columns <- find_columns_with_string(dt_clean, search_string)Scale info
Code
# base data
scale_info <- scale_mapping %>%
filter(
! subscale_name_recoded %in% c("miscellaneous", "political_party_choice"), # drop timing vars, MTurk IDs, etc.
description != "Timing",
! country_extracted %in% c("Palestine","Sudan"),
! import_id %in% c("QID177_14", "QID910_1", "QID910_2", "QID910_3")
) %>%
# we then pull out the relevant items
transmute(
item = import_id,
item_number = paste0(primary_attribute, "_", item_number),
scale_name = scale_name_recoded,
subscale_name = subscale_name_recoded,
country_extracted,
item_identifier = paste0(country_extracted, "-", scale_name, "-", subscale_name, "-", item)
)
# indonesia data
scale_info_indonesia <- read.csv("../data/mapping/scale_info_indonesia.csv", sep = ";")
# merge datasets
scale_info <- scale_info %>%
bind_rows(scale_info_indonesia)
rm(scale_info_indonesia)Code
scale_info %>%
filter(
scale_name != "timing",
item != "_"
) %>%
transmute(
"Item Name" = item,
"Scale" = scale_name,
"Subscale" = subscale_name,
"Country" = country_extracted
) %>%
kbl(.,
escape = FALSE,
booktabs = TRUE,
label = "vitme_overview",
format = "html",
# align = c(rep("l", 4), rep("c", ncol(.)-4)),
# digits = 2,
linesep = "",
caption = "Item Scale Mapping") %>%
# add_header_above(c(" " = 5, "Survey" = 2, "Analysis" = 2)) %>%
kable_classic(
full_width = FALSE,
lightable_options = "hover",
html_font = "Cambria"
) %>%
scroll_box(width = "100%", height = "500px") %>%
footnote(
general = c('Timing variables were removed from the item overview.')
)| Item Name | Scale | Subscale | Country |
|---|---|---|---|
| QID828_1 | radical_intentions | violent_intent | Mexico |
| QID828_25 | radical_intentions | violent_intent | Mexico |
| QID828_26 | radical_intentions | violent_intent | Mexico |
| QID828_27 | radical_intentions | violent_intent | Mexico |
| QID828_29 | radical_intentions | violent_intent | Mexico |
| QID828_30 | radical_intentions | peaceful_intent | Mexico |
| QID828_31 | radical_intentions | peaceful_intent | Mexico |
| QID828_32 | radical_intentions | peaceful_intent | Mexico |
| QID828_33 | radical_intentions | peaceful_intent | Mexico |
| QID828_34 | radical_intentions | peaceful_intent | Mexico |
| QID828_35 | radical_intentions | peaceful_intent | Mexico |
| QID904_1 | past_activism | past_activism | Israel |
| QID904_10 | past_activism | past_activism | Israel |
| QID904_11 | past_activism | past_activism | Israel |
| QID904_12 | past_activism | past_activism | Israel |
| QID902_1 | radical_intentions | violent_intent | Israel |
| QID902_25 | radical_intentions | violent_intent | Israel |
| QID902_26 | radical_intentions | violent_intent | Israel |
| QID902_27 | radical_intentions | violent_intent | Israel |
| QID902_29 | radical_intentions | violent_intent | Israel |
| QID902_30 | radical_intentions | peaceful_intent | Israel |
| QID902_31 | radical_intentions | peaceful_intent | Israel |
| QID902_32 | radical_intentions | peaceful_intent | Israel |
| QID902_33 | radical_intentions | peaceful_intent | Israel |
| QID902_34 | radical_intentions | peaceful_intent | Israel |
| QID902_35 | radical_intentions | peaceful_intent | Israel |
| QID906_1 | intuition_logic | intuition | Israel |
| QID906_9 | intuition_logic | logic | Israel |
| QID342_1 | ideological_passion | harmonious_passion | Hungary |
| QID342_89 | ideological_passion | obsessive_passion | Hungary |
| QID342_90 | ideological_passion | harmonious_passion | Hungary |
| QID342_91 | ideological_passion | obsessive_passion | Hungary |
| QID342_92 | ideological_passion | harmonious_passion | Hungary |
| QID342_93 | ideological_passion | harmonious_passion | Hungary |
| QID342_94 | ideological_passion | obsessive_passion | Hungary |
| QID342_95 | ideological_passion | harmonious_passion | Hungary |
| QID342_96 | ideological_passion | obsessive_passion | Hungary |
| QID342_97 | ideological_passion | harmonious_passion | Hungary |
| QID342_98 | ideological_passion | obsessive_passion | Hungary |
| QID342_99 | ideological_passion | obsessive_passion | Hungary |
| QID342_100 | ideological_passion | commitment_passion | Hungary |
| QID342_101 | ideological_passion | commitment_passion | Hungary |
| QID342_102 | ideological_passion | commitment_passion | Hungary |
| QID342_103 | ideological_passion | commitment_passion | Hungary |
| QID539_1 | identity_fusion | identity_fusion | Turkey |
| QID539_46 | identity_fusion | identity_fusion | Turkey |
| QID539_47 | identity_fusion | identity_fusion | Turkey |
| QID539_48 | identity_fusion | identity_fusion | Turkey |
| QID539_49 | identity_fusion | identity_fusion | Turkey |
| QID539_50 | identity_fusion | identity_fusion | Turkey |
| QID539_51 | identity_fusion | identity_fusion | Turkey |
| QID541_1 | ingroup_superiority | ingroup_superiority | Turkey |
| QID541_52 | ingroup_superiority | ingroup_superiority | Turkey |
| QID541_53 | ingroup_superiority | ingroup_superiority | Turkey |
| QID541_54 | ingroup_superiority | ingroup_superiority | Turkey |
| QID547_1 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID547_58 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID547_59 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID547_60 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID547_61 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID547_62 | collective_relative_deprivation | collective_relative_deprivation | Turkey |
| QID549_1 | ideological_passion | harmonious_passion | Turkey |
| QID549_63 | ideological_passion | obsessive_passion | Turkey |
| QID549_64 | ideological_passion | harmonious_passion | Turkey |
| QID549_65 | ideological_passion | obsessive_passion | Turkey |
| QID549_66 | ideological_passion | harmonious_passion | Turkey |
| QID549_67 | ideological_passion | harmonious_passion | Turkey |
| QID549_68 | ideological_passion | obsessive_passion | Turkey |
| QID549_69 | ideological_passion | harmonious_passion | Turkey |
| QID549_70 | ideological_passion | obsessive_passion | Turkey |
| QID549_71 | ideological_passion | harmonious_passion | Turkey |
| QID549_72 | ideological_passion | obsessive_passion | Turkey |
| QID549_73 | ideological_passion | obsessive_passion | Turkey |
| QID549_74 | ideological_passion | commitment_passion | Turkey |
| QID549_75 | ideological_passion | commitment_passion | Turkey |
| QID549_76 | ideological_passion | commitment_passion | Turkey |
| QID549_77 | ideological_passion | commitment_passion | Turkey |
| QID551_1 | radical_intentions | violent_intent | Turkey |
| QID551_78 | radical_intentions | violent_intent | Turkey |
| QID551_79 | radical_intentions | violent_intent | Turkey |
| QID551_80 | radical_intentions | violent_intent | Turkey |
| QID551_82 | radical_intentions | violent_intent | Turkey |
| QID551_83 | radical_intentions | peaceful_intent | Turkey |
| QID551_84 | radical_intentions | peaceful_intent | Turkey |
| QID551_85 | radical_intentions | peaceful_intent | Turkey |
| QID551_86 | radical_intentions | peaceful_intent | Turkey |
| QID551_87 | radical_intentions | peaceful_intent | Turkey |
| QID551_88 | radical_intentions | peaceful_intent | Turkey |
| QID555_1 | intuition_logic | intuition | Turkey |
| QID555_63 | intuition_logic | logic | Turkey |
| QID310_1 | intuition_logic | intuition | Finland |
| QID310_76 | intuition_logic | logic | Finland |
| QID505_1 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_43 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_44 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_45 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_46 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_47 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_48 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_49 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_50 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_51 | perceived_discrimination | perceived_discrimination | Sweden |
| QID505_52 | perceived_discrimination | perceived_discrimination | Sweden |
| QID507_1 | activist_intent | activist_intent | Sweden |
| QID507_43 | activist_intent | activist_intent | Sweden |
| QID507_44 | activist_intent | activist_intent | Sweden |
| QID507_45 | activist_intent | activist_intent | Sweden |
| QID515_1 | past_activism | past_activism | Sweden |
| QID515_16 | past_activism | past_activism | Sweden |
| QID515_17 | past_activism | past_activism | Sweden |
| QID515_18 | past_activism | past_activism | Sweden |
| QID501_1 | identity_fusion | identity_fusion | Sweden |
| QID501_34 | identity_fusion | identity_fusion | Sweden |
| QID501_35 | identity_fusion | identity_fusion | Sweden |
| QID501_36 | identity_fusion | identity_fusion | Sweden |
| QID501_37 | identity_fusion | identity_fusion | Sweden |
| QID501_38 | identity_fusion | identity_fusion | Sweden |
| QID501_39 | identity_fusion | identity_fusion | Sweden |
| QID503_1 | ingroup_superiority | ingroup_superiority | Sweden |
| QID503_40 | ingroup_superiority | ingroup_superiority | Sweden |
| QID503_41 | ingroup_superiority | ingroup_superiority | Sweden |
| QID503_42 | ingroup_superiority | ingroup_superiority | Sweden |
| QID509_1 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID509_46 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID509_47 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID509_48 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID509_49 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID509_50 | collective_relative_deprivation | collective_relative_deprivation | Sweden |
| QID244_1 | past_activism | past_activism | Norway |
| QID244_10 | past_activism | past_activism | Norway |
| QID244_11 | past_activism | past_activism | Norway |
| QID244_12 | past_activism | past_activism | Norway |
| QID289_1 | past_activism | past_activism | Denmark |
| QID289_16 | past_activism | past_activism | Denmark |
| QID289_17 | past_activism | past_activism | Denmark |
| QID289_18 | past_activism | past_activism | Denmark |
| QID207_24 | ideological_passion | harmonious_passion | Brazil |
| QID207_58 | ideological_passion | obsessive_passion | Brazil |
| QID207_59 | ideological_passion | harmonious_passion | Brazil |
| QID207_60 | ideological_passion | obsessive_passion | Brazil |
| QID207_61 | ideological_passion | harmonious_passion | Brazil |
| QID207_62 | ideological_passion | harmonious_passion | Brazil |
| QID207_63 | ideological_passion | obsessive_passion | Brazil |
| QID207_64 | ideological_passion | harmonious_passion | Brazil |
| QID207_65 | ideological_passion | obsessive_passion | Brazil |
| QID207_66 | ideological_passion | harmonious_passion | Brazil |
| QID207_67 | ideological_passion | obsessive_passion | Brazil |
| QID207_68 | ideological_passion | obsessive_passion | Brazil |
| QID207_69 | ideological_passion | commitment_passion | Brazil |
| QID207_70 | ideological_passion | commitment_passion | Brazil |
| QID207_71 | ideological_passion | commitment_passion | Brazil |
| QID207_72 | ideological_passion | commitment_passion | Brazil |
| QID209_1 | radical_intentions | violent_intent | Brazil |
| QID209_25 | radical_intentions | violent_intent | Brazil |
| QID209_26 | radical_intentions | violent_intent | Brazil |
| QID209_27 | radical_intentions | violent_intent | Brazil |
| QID209_29 | radical_intentions | violent_intent | Brazil |
| QID209_30 | radical_intentions | peaceful_intent | Brazil |
| QID209_31 | radical_intentions | peaceful_intent | Brazil |
| QID209_32 | radical_intentions | peaceful_intent | Brazil |
| QID209_33 | radical_intentions | peaceful_intent | Brazil |
| QID209_34 | radical_intentions | peaceful_intent | Brazil |
| QID209_35 | radical_intentions | peaceful_intent | Brazil |
| QID494_1 | radical_intentions | violent_intent | Romania |
| QID494_60 | radical_intentions | violent_intent | Romania |
| QID494_61 | radical_intentions | violent_intent | Romania |
| QID494_62 | radical_intentions | violent_intent | Romania |
| QID494_64 | radical_intentions | violent_intent | Romania |
| QID494_65 | radical_intentions | peaceful_intent | Romania |
| QID494_66 | radical_intentions | peaceful_intent | Romania |
| QID494_67 | radical_intentions | peaceful_intent | Romania |
| QID494_68 | radical_intentions | peaceful_intent | Romania |
| QID494_69 | radical_intentions | peaceful_intent | Romania |
| QID494_70 | radical_intentions | peaceful_intent | Romania |
| QID369_1 | identity_fusion | identity_fusion | India |
| QID369_111 | identity_fusion | identity_fusion | India |
| QID369_112 | identity_fusion | identity_fusion | India |
| QID369_113 | identity_fusion | identity_fusion | India |
| QID369_114 | identity_fusion | identity_fusion | India |
| QID369_115 | identity_fusion | identity_fusion | India |
| QID369_116 | identity_fusion | identity_fusion | India |
| QID371_1 | ingroup_superiority | ingroup_superiority | India |
| QID371_117 | ingroup_superiority | ingroup_superiority | India |
| QID371_118 | ingroup_superiority | ingroup_superiority | India |
| QID371_119 | ingroup_superiority | ingroup_superiority | India |
| QID377_1 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID377_123 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID377_124 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID377_125 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID377_126 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID377_127 | collective_relative_deprivation | collective_relative_deprivation | India |
| QID385_1 | intuition_logic | intuition | India |
| QID385_128 | intuition_logic | logic | India |
| QID379_1 | ideological_passion | harmonious_passion | India |
| QID379_128 | ideological_passion | obsessive_passion | India |
| QID379_129 | ideological_passion | harmonious_passion | India |
| QID379_130 | ideological_passion | obsessive_passion | India |
| QID379_131 | ideological_passion | harmonious_passion | India |
| QID379_132 | ideological_passion | harmonious_passion | India |
| QID379_133 | ideological_passion | obsessive_passion | India |
| QID379_134 | ideological_passion | harmonious_passion | India |
| QID379_135 | ideological_passion | obsessive_passion | India |
| QID379_136 | ideological_passion | harmonious_passion | India |
| QID379_137 | ideological_passion | obsessive_passion | India |
| QID379_138 | ideological_passion | obsessive_passion | India |
| QID379_139 | ideological_passion | commitment_passion | India |
| QID379_140 | ideological_passion | commitment_passion | India |
| QID379_141 | ideological_passion | commitment_passion | India |
| QID379_142 | ideological_passion | commitment_passion | India |
| QID381_1 | radical_intentions | violent_intent | India |
| QID381_143 | radical_intentions | violent_intent | India |
| QID381_144 | radical_intentions | violent_intent | India |
| QID381_145 | radical_intentions | violent_intent | India |
| QID381_147 | radical_intentions | violent_intent | India |
| QID381_148 | radical_intentions | peaceful_intent | India |
| QID381_149 | radical_intentions | peaceful_intent | India |
| QID381_150 | radical_intentions | peaceful_intent | India |
| QID381_151 | radical_intentions | peaceful_intent | India |
| QID381_152 | radical_intentions | peaceful_intent | India |
| QID381_153 | radical_intentions | peaceful_intent | India |
| QID375_1 | activist_intent | activist_intent | India |
| QID375_120 | activist_intent | activist_intent | India |
| QID375_121 | activist_intent | activist_intent | India |
| QID375_122 | activist_intent | activist_intent | India |
| QID373_1 | perceived_discrimination | perceived_discrimination | India |
| QID373_120 | perceived_discrimination | perceived_discrimination | India |
| QID373_121 | perceived_discrimination | perceived_discrimination | India |
| QID373_122 | perceived_discrimination | perceived_discrimination | India |
| QID373_123 | perceived_discrimination | perceived_discrimination | India |
| QID373_124 | perceived_discrimination | perceived_discrimination | India |
| QID373_125 | perceived_discrimination | perceived_discrimination | India |
| QID373_126 | perceived_discrimination | perceived_discrimination | India |
| QID373_127 | perceived_discrimination | perceived_discrimination | India |
| QID373_128 | perceived_discrimination | perceived_discrimination | India |
| QID373_129 | perceived_discrimination | perceived_discrimination | India |
| QID383_1 | past_activism | past_activism | India |
| QID383_31 | past_activism | past_activism | India |
| QID383_32 | past_activism | past_activism | India |
| QID383_33 | past_activism | past_activism | India |
| QID532_1 | radical_intentions | violent_intent | Thailand |
| QID532_72 | radical_intentions | violent_intent | Thailand |
| QID532_73 | radical_intentions | violent_intent | Thailand |
| QID532_74 | radical_intentions | violent_intent | Thailand |
| QID532_76 | radical_intentions | violent_intent | Thailand |
| QID532_77 | radical_intentions | peaceful_intent | Thailand |
| QID532_78 | radical_intentions | peaceful_intent | Thailand |
| QID532_79 | radical_intentions | peaceful_intent | Thailand |
| QID532_80 | radical_intentions | peaceful_intent | Thailand |
| QID532_81 | radical_intentions | peaceful_intent | Thailand |
| QID532_82 | radical_intentions | peaceful_intent | Thailand |
| QID526_1 | activist_intent | activist_intent | Thailand |
| QID526_49 | activist_intent | activist_intent | Thailand |
| QID526_50 | activist_intent | activist_intent | Thailand |
| QID526_51 | activist_intent | activist_intent | Thailand |
| QID520_1 | identity_fusion | identity_fusion | Thailand |
| QID520_40 | identity_fusion | identity_fusion | Thailand |
| QID520_41 | identity_fusion | identity_fusion | Thailand |
| QID520_42 | identity_fusion | identity_fusion | Thailand |
| QID520_43 | identity_fusion | identity_fusion | Thailand |
| QID520_44 | identity_fusion | identity_fusion | Thailand |
| QID520_45 | identity_fusion | identity_fusion | Thailand |
| QID522_1 | ingroup_superiority | ingroup_superiority | Thailand |
| QID522_46 | ingroup_superiority | ingroup_superiority | Thailand |
| QID522_47 | ingroup_superiority | ingroup_superiority | Thailand |
| QID522_48 | ingroup_superiority | ingroup_superiority | Thailand |
| QID528_1 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID528_52 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID528_53 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID528_54 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID528_55 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID528_56 | collective_relative_deprivation | collective_relative_deprivation | Thailand |
| QID534_1 | past_activism | past_activism | Thailand |
| QID534_19 | past_activism | past_activism | Thailand |
| QID534_20 | past_activism | past_activism | Thailand |
| QID534_21 | past_activism | past_activism | Thailand |
| QID524_1 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_49 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_50 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_51 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_52 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_53 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_54 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_55 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_56 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_57 | perceived_discrimination | perceived_discrimination | Thailand |
| QID524_58 | perceived_discrimination | perceived_discrimination | Thailand |
| QID530_1 | ideological_passion | harmonious_passion | Thailand |
| QID530_57 | ideological_passion | obsessive_passion | Thailand |
| QID530_58 | ideological_passion | harmonious_passion | Thailand |
| QID530_59 | ideological_passion | obsessive_passion | Thailand |
| QID530_60 | ideological_passion | harmonious_passion | Thailand |
| QID530_61 | ideological_passion | harmonious_passion | Thailand |
| QID530_62 | ideological_passion | obsessive_passion | Thailand |
| QID530_63 | ideological_passion | harmonious_passion | Thailand |
| QID530_64 | ideological_passion | obsessive_passion | Thailand |
| QID530_65 | ideological_passion | harmonious_passion | Thailand |
| QID530_66 | ideological_passion | obsessive_passion | Thailand |
| QID530_67 | ideological_passion | obsessive_passion | Thailand |
| QID530_68 | ideological_passion | commitment_passion | Thailand |
| QID530_69 | ideological_passion | commitment_passion | Thailand |
| QID530_70 | ideological_passion | commitment_passion | Thailand |
| QID530_71 | ideological_passion | commitment_passion | Thailand |
| QID536_1 | intuition_logic | intuition | Thailand |
| QID536_57 | intuition_logic | logic | Thailand |
| QID824_1 | radical_intentions | violent_intent | Argentina |
| QID824_25 | radical_intentions | violent_intent | Argentina |
| QID824_26 | radical_intentions | violent_intent | Argentina |
| QID824_27 | radical_intentions | violent_intent | Argentina |
| QID824_29 | radical_intentions | violent_intent | Argentina |
| QID824_30 | radical_intentions | peaceful_intent | Argentina |
| QID824_31 | radical_intentions | peaceful_intent | Argentina |
| QID824_32 | radical_intentions | peaceful_intent | Argentina |
| QID824_33 | radical_intentions | peaceful_intent | Argentina |
| QID824_34 | radical_intentions | peaceful_intent | Argentina |
| QID824_35 | radical_intentions | peaceful_intent | Argentina |
| QID826_1 | radical_intentions | violent_intent | Colombia |
| QID826_25 | radical_intentions | violent_intent | Colombia |
| QID826_26 | radical_intentions | violent_intent | Colombia |
| QID826_27 | radical_intentions | violent_intent | Colombia |
| QID826_29 | radical_intentions | violent_intent | Colombia |
| QID826_30 | radical_intentions | peaceful_intent | Colombia |
| QID826_31 | radical_intentions | peaceful_intent | Colombia |
| QID826_32 | radical_intentions | peaceful_intent | Colombia |
| QID826_33 | radical_intentions | peaceful_intent | Colombia |
| QID826_34 | radical_intentions | peaceful_intent | Colombia |
| QID826_35 | radical_intentions | peaceful_intent | Colombia |
| QID830_1 | radical_intentions | violent_intent | Spain |
| QID830_25 | radical_intentions | violent_intent | Spain |
| QID830_26 | radical_intentions | violent_intent | Spain |
| QID830_27 | radical_intentions | violent_intent | Spain |
| QID830_29 | radical_intentions | violent_intent | Spain |
| QID830_30 | radical_intentions | peaceful_intent | Spain |
| QID830_31 | radical_intentions | peaceful_intent | Spain |
| QID830_32 | radical_intentions | peaceful_intent | Spain |
| QID830_33 | radical_intentions | peaceful_intent | Spain |
| QID830_34 | radical_intentions | peaceful_intent | Spain |
| QID830_35 | radical_intentions | peaceful_intent | Spain |
| QID450_1 | activist_intent | activist_intent | Austria |
| QID450_10 | activist_intent | activist_intent | Austria |
| QID450_11 | activist_intent | activist_intent | Austria |
| QID450_12 | activist_intent | activist_intent | Austria |
| QID157_1 | activist_intent | activist_intent | Germany |
| QID157_10 | activist_intent | activist_intent | Germany |
| QID157_11 | activist_intent | activist_intent | Germany |
| QID157_12 | activist_intent | activist_intent | Germany |
| QID155_1 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_24 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_25 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_26 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_27 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_28 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_29 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_30 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_31 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_32 | perceived_discrimination | perceived_discrimination | Germany |
| QID155_33 | perceived_discrimination | perceived_discrimination | Germany |
| QID448_1 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_24 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_25 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_26 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_27 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_28 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_29 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_30 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_31 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_32 | perceived_discrimination | perceived_discrimination | Austria |
| QID448_33 | perceived_discrimination | perceived_discrimination | Austria |
| QID458_1 | past_activism | past_activism | Austria |
| QID458_10 | past_activism | past_activism | Austria |
| QID458_11 | past_activism | past_activism | Austria |
| QID458_12 | past_activism | past_activism | Austria |
| QID165_1 | past_activism | past_activism | Germany |
| QID165_10 | past_activism | past_activism | Germany |
| QID165_11 | past_activism | past_activism | Germany |
| QID165_12 | past_activism | past_activism | Germany |
| QID792_1 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_24 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_25 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_26 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_27 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_28 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_29 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_30 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_31 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_32 | perceived_discrimination | perceived_discrimination | Argentina |
| QID792_33 | perceived_discrimination | perceived_discrimination | Argentina |
| QID794_1 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_24 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_25 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_26 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_27 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_28 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_29 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_30 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_31 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_32 | perceived_discrimination | perceived_discrimination | Colombia |
| QID794_33 | perceived_discrimination | perceived_discrimination | Colombia |
| QID796_1 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_24 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_25 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_26 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_27 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_28 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_29 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_30 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_31 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_32 | perceived_discrimination | perceived_discrimination | Mexico |
| QID796_33 | perceived_discrimination | perceived_discrimination | Mexico |
| QID798_1 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_24 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_25 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_26 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_27 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_28 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_29 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_30 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_31 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_32 | perceived_discrimination | perceived_discrimination | Spain |
| QID798_33 | perceived_discrimination | perceived_discrimination | Spain |
| QID800_1 | activist_intent | activist_intent | Argentina |
| QID800_10 | activist_intent | activist_intent | Argentina |
| QID800_11 | activist_intent | activist_intent | Argentina |
| QID800_12 | activist_intent | activist_intent | Argentina |
| QID804_1 | activist_intent | activist_intent | Mexico |
| QID804_16 | activist_intent | activist_intent | Mexico |
| QID804_17 | activist_intent | activist_intent | Mexico |
| QID804_18 | activist_intent | activist_intent | Mexico |
| QID802_1 | activist_intent | activist_intent | Colombia |
| QID802_10 | activist_intent | activist_intent | Colombia |
| QID802_11 | activist_intent | activist_intent | Colombia |
| QID802_12 | activist_intent | activist_intent | Colombia |
| QID806_1 | activist_intent | activist_intent | Spain |
| QID806_10 | activist_intent | activist_intent | Spain |
| QID806_11 | activist_intent | activist_intent | Spain |
| QID806_12 | activist_intent | activist_intent | Spain |
| QID201_1 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_24 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_25 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_26 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_27 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_28 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_29 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_30 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_31 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_32 | perceived_discrimination | perceived_discrimination | Brazil |
| QID201_33 | perceived_discrimination | perceived_discrimination | Brazil |
| QID437_1 | radical_intentions | violent_intent | France |
| QID437_25 | radical_intentions | violent_intent | France |
| QID437_26 | radical_intentions | violent_intent | France |
| QID437_27 | radical_intentions | violent_intent | France |
| QID437_29 | radical_intentions | violent_intent | France |
| QID437_30 | radical_intentions | peaceful_intent | France |
| QID437_31 | radical_intentions | peaceful_intent | France |
| QID437_32 | radical_intentions | peaceful_intent | France |
| QID437_33 | radical_intentions | peaceful_intent | France |
| QID437_34 | radical_intentions | peaceful_intent | France |
| QID437_35 | radical_intentions | peaceful_intent | France |
| QID460_1 | intuition_logic | intuition | Austria |
| QID460_14 | intuition_logic | logic | Austria |
| QID167_1 | intuition_logic | intuition | Germany |
| QID167_9 | intuition_logic | logic | Germany |
| QID463_1 | identity_fusion | identity_fusion | Poland |
| QID463_22 | identity_fusion | identity_fusion | Poland |
| QID463_23 | identity_fusion | identity_fusion | Poland |
| QID463_24 | identity_fusion | identity_fusion | Poland |
| QID463_25 | identity_fusion | identity_fusion | Poland |
| QID463_26 | identity_fusion | identity_fusion | Poland |
| QID463_27 | identity_fusion | identity_fusion | Poland |
| QID465_1 | ingroup_superiority | ingroup_superiority | Poland |
| QID465_28 | ingroup_superiority | ingroup_superiority | Poland |
| QID465_29 | ingroup_superiority | ingroup_superiority | Poland |
| QID465_30 | ingroup_superiority | ingroup_superiority | Poland |
| QID471_1 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID471_34 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID471_35 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID471_36 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID471_37 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID471_38 | collective_relative_deprivation | collective_relative_deprivation | Poland |
| QID273_1 | radical_intentions | violent_intent | Czech |
| QID273_53 | radical_intentions | violent_intent | Czech |
| QID273_54 | radical_intentions | violent_intent | Czech |
| QID273_55 | radical_intentions | violent_intent | Czech |
| QID273_57 | radical_intentions | violent_intent | Czech |
| QID273_58 | radical_intentions | peaceful_intent | Czech |
| QID273_59 | radical_intentions | peaceful_intent | Czech |
| QID273_60 | radical_intentions | peaceful_intent | Czech |
| QID273_61 | radical_intentions | peaceful_intent | Czech |
| QID273_62 | radical_intentions | peaceful_intent | Czech |
| QID273_63 | radical_intentions | peaceful_intent | Czech |
| QID228_1 | radical_intentions | violent_intent | Portugal |
| QID228_25 | radical_intentions | violent_intent | Portugal |
| QID228_26 | radical_intentions | violent_intent | Portugal |
| QID228_27 | radical_intentions | violent_intent | Portugal |
| QID228_29 | radical_intentions | violent_intent | Portugal |
| QID228_30 | radical_intentions | peaceful_intent | Portugal |
| QID228_31 | radical_intentions | peaceful_intent | Portugal |
| QID228_32 | radical_intentions | peaceful_intent | Portugal |
| QID228_33 | radical_intentions | peaceful_intent | Portugal |
| QID228_34 | radical_intentions | peaceful_intent | Portugal |
| QID228_35 | radical_intentions | peaceful_intent | Portugal |
| QID435_24 | ideological_passion | harmonious_passion | France |
| QID435_58 | ideological_passion | obsessive_passion | France |
| QID435_59 | ideological_passion | harmonious_passion | France |
| QID435_60 | ideological_passion | obsessive_passion | France |
| QID435_61 | ideological_passion | harmonious_passion | France |
| QID435_62 | ideological_passion | harmonious_passion | France |
| QID435_63 | ideological_passion | obsessive_passion | France |
| QID435_64 | ideological_passion | harmonious_passion | France |
| QID435_65 | ideological_passion | obsessive_passion | France |
| QID435_66 | ideological_passion | harmonious_passion | France |
| QID435_67 | ideological_passion | obsessive_passion | France |
| QID435_68 | ideological_passion | obsessive_passion | France |
| QID435_69 | ideological_passion | commitment_passion | France |
| QID435_70 | ideological_passion | commitment_passion | France |
| QID435_71 | ideological_passion | commitment_passion | France |
| QID435_72 | ideological_passion | commitment_passion | France |
| QID226_24 | ideological_passion | harmonious_passion | Portugal |
| QID226_58 | ideological_passion | obsessive_passion | Portugal |
| QID226_59 | ideological_passion | harmonious_passion | Portugal |
| QID226_60 | ideological_passion | obsessive_passion | Portugal |
| QID226_61 | ideological_passion | harmonious_passion | Portugal |
| QID226_62 | ideological_passion | harmonious_passion | Portugal |
| QID226_63 | ideological_passion | obsessive_passion | Portugal |
| QID226_64 | ideological_passion | harmonious_passion | Portugal |
| QID226_65 | ideological_passion | obsessive_passion | Portugal |
| QID226_66 | ideological_passion | harmonious_passion | Portugal |
| QID226_67 | ideological_passion | obsessive_passion | Portugal |
| QID226_68 | ideological_passion | obsessive_passion | Portugal |
| QID226_69 | ideological_passion | commitment_passion | Portugal |
| QID226_70 | ideological_passion | commitment_passion | Portugal |
| QID226_71 | ideological_passion | commitment_passion | Portugal |
| QID226_72 | ideological_passion | commitment_passion | Portugal |
| QID488_1 | activist_intent | activist_intent | Romania |
| QID488_37 | activist_intent | activist_intent | Romania |
| QID488_38 | activist_intent | activist_intent | Romania |
| QID488_39 | activist_intent | activist_intent | Romania |
| QID486_1 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_37 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_38 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_39 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_40 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_41 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_42 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_43 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_44 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_45 | perceived_discrimination | perceived_discrimination | Romania |
| QID486_46 | perceived_discrimination | perceived_discrimination | Romania |
| QID367_1 | intuition_logic | intuition | Malaysia |
| QID367_137 | intuition_logic | logic | Malaysia |
| QID66_1 | moral_neutralization | moral_neutralization | general |
| QID66_4 | moral_neutralization | moral_neutralization | general |
| QID66_5 | moral_neutralization | moral_neutralization | general |
| QID66_6 | moral_neutralization | moral_neutralization | general |
| QID66_7 | moral_neutralization | moral_neutralization | general |
| QID66_8 | moral_neutralization | moral_neutralization | general |
| QID66_9 | moral_neutralization | moral_neutralization | general |
| QID66_10 | moral_neutralization | moral_neutralization | general |
| QID66_11 | moral_neutralization | moral_neutralization | general |
| QID66_12 | moral_neutralization | moral_neutralization | general |
| QID66_13 | moral_neutralization | moral_neutralization | general |
| QID66_14 | moral_neutralization | moral_neutralization | general |
| QID66_15 | moral_neutralization | moral_neutralization | general |
| QID66_16 | moral_neutralization | moral_neutralization | general |
| QID66_17 | moral_neutralization | moral_neutralization | general |
| QID66_18 | moral_neutralization | moral_neutralization | general |
| QID68_1 | identity_fusion | identity_fusion | Canada |
| QID68_10 | identity_fusion | identity_fusion | Canada |
| QID68_11 | identity_fusion | identity_fusion | Canada |
| QID68_12 | identity_fusion | identity_fusion | Canada |
| QID68_13 | identity_fusion | identity_fusion | Canada |
| QID68_14 | identity_fusion | identity_fusion | Canada |
| QID68_15 | identity_fusion | identity_fusion | Canada |
| QID69_1 | ingroup_superiority | ingroup_superiority | Canada |
| QID69_13 | ingroup_superiority | ingroup_superiority | Canada |
| QID69_14 | ingroup_superiority | ingroup_superiority | Canada |
| QID69_15 | ingroup_superiority | ingroup_superiority | Canada |
| QID70_1 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID70_14 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID70_15 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID70_16 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID70_17 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID70_18 | collective_relative_deprivation | collective_relative_deprivation | Canada |
| QID114_1 | identity_fusion | identity_fusion | Australia |
| QID114_16 | identity_fusion | identity_fusion | Australia |
| QID114_17 | identity_fusion | identity_fusion | Australia |
| QID114_18 | identity_fusion | identity_fusion | Australia |
| QID114_19 | identity_fusion | identity_fusion | Australia |
| QID114_20 | identity_fusion | identity_fusion | Australia |
| QID114_21 | identity_fusion | identity_fusion | Australia |
| QID116_1 | ingroup_superiority | ingroup_superiority | Australia |
| QID116_19 | ingroup_superiority | ingroup_superiority | Australia |
| QID116_20 | ingroup_superiority | ingroup_superiority | Australia |
| QID116_21 | ingroup_superiority | ingroup_superiority | Australia |
| QID122_1 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID122_19 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID122_20 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID122_21 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID122_22 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID122_23 | collective_relative_deprivation | collective_relative_deprivation | Australia |
| QID557_1 | identity_fusion | identity_fusion | United Kingdom |
| QID557_10 | identity_fusion | identity_fusion | United Kingdom |
| QID557_11 | identity_fusion | identity_fusion | United Kingdom |
| QID557_12 | identity_fusion | identity_fusion | United Kingdom |
| QID557_13 | identity_fusion | identity_fusion | United Kingdom |
| QID557_14 | identity_fusion | identity_fusion | United Kingdom |
| QID557_15 | identity_fusion | identity_fusion | United Kingdom |
| QID560_1 | ingroup_superiority | ingroup_superiority | United Kingdom |
| QID560_13 | ingroup_superiority | ingroup_superiority | United Kingdom |
| QID560_14 | ingroup_superiority | ingroup_superiority | United Kingdom |
| QID560_15 | ingroup_superiority | ingroup_superiority | United Kingdom |
| QID566_1 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID566_14 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID566_15 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID566_16 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID566_17 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID566_18 | collective_relative_deprivation | collective_relative_deprivation | United Kingdom |
| QID590_1 | identity_fusion | identity_fusion | Nigeria |
| QID590_16 | identity_fusion | identity_fusion | Nigeria |
| QID590_17 | identity_fusion | identity_fusion | Nigeria |
| QID590_18 | identity_fusion | identity_fusion | Nigeria |
| QID590_19 | identity_fusion | identity_fusion | Nigeria |
| QID590_20 | identity_fusion | identity_fusion | Nigeria |
| QID590_21 | identity_fusion | identity_fusion | Nigeria |
| QID678_1 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID678_19 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID678_20 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID678_21 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID678_22 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID678_23 | collective_relative_deprivation | collective_relative_deprivation | Nigeria |
| QID853_1 | identity_fusion | identity_fusion | US Democrats |
| QID853_16 | identity_fusion | identity_fusion | US Democrats |
| QID853_17 | identity_fusion | identity_fusion | US Democrats |
| QID853_18 | identity_fusion | identity_fusion | US Democrats |
| QID853_19 | identity_fusion | identity_fusion | US Democrats |
| QID853_20 | identity_fusion | identity_fusion | US Democrats |
| QID853_21 | identity_fusion | identity_fusion | US Democrats |
| QID855_1 | identity_fusion | identity_fusion | US Republicans |
| QID855_16 | identity_fusion | identity_fusion | US Republicans |
| QID855_17 | identity_fusion | identity_fusion | US Republicans |
| QID855_18 | identity_fusion | identity_fusion | US Republicans |
| QID855_19 | identity_fusion | identity_fusion | US Republicans |
| QID855_20 | identity_fusion | identity_fusion | US Republicans |
| QID855_21 | identity_fusion | identity_fusion | US Republicans |
| QID857_1 | ingroup_superiority | ingroup_superiority | US Democrats |
| QID857_16 | ingroup_superiority | ingroup_superiority | US Democrats |
| QID857_17 | ingroup_superiority | ingroup_superiority | US Democrats |
| QID857_18 | ingroup_superiority | ingroup_superiority | US Democrats |
| QID859_1 | ingroup_superiority | ingroup_superiority | US Republicans |
| QID859_16 | ingroup_superiority | ingroup_superiority | US Republicans |
| QID859_17 | ingroup_superiority | ingroup_superiority | US Republicans |
| QID859_18 | ingroup_superiority | ingroup_superiority | US Republicans |
| QID869_1 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID869_19 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID869_20 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID869_21 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID869_22 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID869_23 | collective_relative_deprivation | collective_relative_deprivation | US Democrats |
| QID871_1 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID871_19 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID871_20 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID871_21 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID871_22 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID871_23 | collective_relative_deprivation | collective_relative_deprivation | US Republicans |
| QID909_1 | ingroup_superiority | ingroup_superiority | Nigeria |
| QID909_22 | ingroup_superiority | ingroup_superiority | Nigeria |
| QID909_23 | ingroup_superiority | ingroup_superiority | Nigeria |
| QID909_24 | ingroup_superiority | ingroup_superiority | Nigeria |
| QID73_1 | radical_attitudes | radical_attitudes | general |
| QID73_4 | radical_attitudes | radical_attitudes | general |
| QID73_5 | radical_attitudes | radical_attitudes | general |
| QID191_1 | identity_fusion | identity_fusion | Norway |
| QID191_22 | identity_fusion | identity_fusion | Norway |
| QID191_23 | identity_fusion | identity_fusion | Norway |
| QID191_24 | identity_fusion | identity_fusion | Norway |
| QID191_25 | identity_fusion | identity_fusion | Norway |
| QID191_26 | identity_fusion | identity_fusion | Norway |
| QID191_27 | identity_fusion | identity_fusion | Norway |
| QID193_1 | ingroup_superiority | ingroup_superiority | Norway |
| QID193_13 | ingroup_superiority | ingroup_superiority | Norway |
| QID193_14 | ingroup_superiority | ingroup_superiority | Norway |
| QID193_16 | ingroup_superiority | ingroup_superiority | Norway |
| QID248_1 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID248_13 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID248_14 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID248_15 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID248_16 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID248_17 | collective_relative_deprivation | collective_relative_deprivation | Norway |
| QID517_1 | intuition_logic | intuition | Sweden |
| QID517_51 | intuition_logic | logic | Sweden |
| QID498_1 | intuition_logic | intuition | Romania |
| QID498_45 | intuition_logic | logic | Romania |
| QID492_1 | ideological_passion | harmonious_passion | Romania |
| QID492_45 | ideological_passion | obsessive_passion | Romania |
| QID492_46 | ideological_passion | harmonious_passion | Romania |
| QID492_47 | ideological_passion | obsessive_passion | Romania |
| QID492_48 | ideological_passion | harmonious_passion | Romania |
| QID492_49 | ideological_passion | harmonious_passion | Romania |
| QID492_50 | ideological_passion | obsessive_passion | Romania |
| QID492_51 | ideological_passion | harmonious_passion | Romania |
| QID492_52 | ideological_passion | obsessive_passion | Romania |
| QID492_53 | ideological_passion | harmonious_passion | Romania |
| QID492_54 | ideological_passion | obsessive_passion | Romania |
| QID492_55 | ideological_passion | obsessive_passion | Romania |
| QID492_56 | ideological_passion | commitment_passion | Romania |
| QID492_57 | ideological_passion | commitment_passion | Romania |
| QID492_58 | ideological_passion | commitment_passion | Romania |
| QID492_59 | ideological_passion | commitment_passion | Romania |
| QID454_24 | ideological_passion | harmonious_passion | Austria |
| QID454_58 | ideological_passion | obsessive_passion | Austria |
| QID454_59 | ideological_passion | harmonious_passion | Austria |
| QID454_60 | ideological_passion | obsessive_passion | Austria |
| QID454_61 | ideological_passion | harmonious_passion | Austria |
| QID454_62 | ideological_passion | harmonious_passion | Austria |
| QID454_63 | ideological_passion | obsessive_passion | Austria |
| QID454_64 | ideological_passion | harmonious_passion | Austria |
| QID454_65 | ideological_passion | obsessive_passion | Austria |
| QID454_66 | ideological_passion | harmonious_passion | Austria |
| QID454_67 | ideological_passion | obsessive_passion | Austria |
| QID454_68 | ideological_passion | obsessive_passion | Austria |
| QID454_69 | ideological_passion | commitment_passion | Austria |
| QID454_70 | ideological_passion | commitment_passion | Austria |
| QID454_71 | ideological_passion | commitment_passion | Austria |
| QID454_72 | ideological_passion | commitment_passion | Austria |
| QID161_24 | ideological_passion | harmonious_passion | Germany |
| QID161_58 | ideological_passion | obsessive_passion | Germany |
| QID161_59 | ideological_passion | harmonious_passion | Germany |
| QID161_60 | ideological_passion | obsessive_passion | Germany |
| QID161_61 | ideological_passion | harmonious_passion | Germany |
| QID161_62 | ideological_passion | harmonious_passion | Germany |
| QID161_63 | ideological_passion | obsessive_passion | Germany |
| QID161_64 | ideological_passion | harmonious_passion | Germany |
| QID161_65 | ideological_passion | obsessive_passion | Germany |
| QID161_66 | ideological_passion | harmonious_passion | Germany |
| QID161_67 | ideological_passion | obsessive_passion | Germany |
| QID161_68 | ideological_passion | obsessive_passion | Germany |
| QID161_69 | ideological_passion | commitment_passion | Germany |
| QID161_70 | ideological_passion | commitment_passion | Germany |
| QID161_71 | ideological_passion | commitment_passion | Germany |
| QID161_72 | ideological_passion | commitment_passion | Germany |
| QID151_1 | identity_fusion | identity_fusion | Germany |
| QID151_16 | identity_fusion | identity_fusion | Germany |
| QID151_17 | identity_fusion | identity_fusion | Germany |
| QID151_18 | identity_fusion | identity_fusion | Germany |
| QID151_19 | identity_fusion | identity_fusion | Germany |
| QID151_20 | identity_fusion | identity_fusion | Germany |
| QID151_21 | identity_fusion | identity_fusion | Germany |
| QID153_1 | ingroup_superiority | ingroup_superiority | Germany |
| QID153_16 | ingroup_superiority | ingroup_superiority | Germany |
| QID153_17 | ingroup_superiority | ingroup_superiority | Germany |
| QID153_18 | ingroup_superiority | ingroup_superiority | Germany |
| QID159_1 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID159_19 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID159_20 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID159_21 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID159_22 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID159_23 | collective_relative_deprivation | collective_relative_deprivation | Germany |
| QID444_1 | identity_fusion | identity_fusion | Austria |
| QID444_16 | identity_fusion | identity_fusion | Austria |
| QID444_17 | identity_fusion | identity_fusion | Austria |
| QID444_18 | identity_fusion | identity_fusion | Austria |
| QID444_19 | identity_fusion | identity_fusion | Austria |
| QID444_20 | identity_fusion | identity_fusion | Austria |
| QID444_21 | identity_fusion | identity_fusion | Austria |
| QID446_1 | ingroup_superiority | ingroup_superiority | Austria |
| QID446_16 | ingroup_superiority | ingroup_superiority | Austria |
| QID446_17 | ingroup_superiority | ingroup_superiority | Austria |
| QID446_18 | ingroup_superiority | ingroup_superiority | Austria |
| QID452_1 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID452_19 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID452_20 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID452_21 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID452_22 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID452_23 | collective_relative_deprivation | collective_relative_deprivation | Austria |
| QID136_1 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_34 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_35 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_36 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_37 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_38 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_39 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_40 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_41 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_42 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID136_43 | perceived_discrimination | perceived_discrimination | Netherlands |
| QID138_1 | activist_intent | activist_intent | Netherlands |
| QID138_13 | activist_intent | activist_intent | Netherlands |
| QID138_14 | activist_intent | activist_intent | Netherlands |
| QID138_15 | activist_intent | activist_intent | Netherlands |
| QID142_24 | ideological_passion | harmonious_passion | Netherlands |
| QID142_73 | ideological_passion | obsessive_passion | Netherlands |
| QID142_74 | ideological_passion | harmonious_passion | Netherlands |
| QID142_75 | ideological_passion | obsessive_passion | Netherlands |
| QID142_76 | ideological_passion | harmonious_passion | Netherlands |
| QID142_77 | ideological_passion | harmonious_passion | Netherlands |
| QID142_78 | ideological_passion | obsessive_passion | Netherlands |
| QID142_79 | ideological_passion | harmonious_passion | Netherlands |
| QID142_80 | ideological_passion | obsessive_passion | Netherlands |
| QID142_81 | ideological_passion | harmonious_passion | Netherlands |
| QID142_82 | ideological_passion | obsessive_passion | Netherlands |
| QID142_83 | ideological_passion | obsessive_passion | Netherlands |
| QID142_84 | ideological_passion | commitment_passion | Netherlands |
| QID142_85 | ideological_passion | commitment_passion | Netherlands |
| QID142_86 | ideological_passion | commitment_passion | Netherlands |
| QID142_87 | ideological_passion | commitment_passion | Netherlands |
| QID146_1 | past_activism | past_activism | Netherlands |
| QID146_13 | past_activism | past_activism | Netherlands |
| QID146_14 | past_activism | past_activism | Netherlands |
| QID146_15 | past_activism | past_activism | Netherlands |
| QID132_1 | identity_fusion | identity_fusion | Netherlands |
| QID132_22 | identity_fusion | identity_fusion | Netherlands |
| QID132_23 | identity_fusion | identity_fusion | Netherlands |
| QID132_24 | identity_fusion | identity_fusion | Netherlands |
| QID132_25 | identity_fusion | identity_fusion | Netherlands |
| QID132_26 | identity_fusion | identity_fusion | Netherlands |
| QID132_27 | identity_fusion | identity_fusion | Netherlands |
| QID134_1 | ingroup_superiority | ingroup_superiority | Netherlands |
| QID134_22 | ingroup_superiority | ingroup_superiority | Netherlands |
| QID134_23 | ingroup_superiority | ingroup_superiority | Netherlands |
| QID134_24 | ingroup_superiority | ingroup_superiority | Netherlands |
| QID140_1 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID140_24 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID140_25 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID140_26 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID140_27 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID140_28 | collective_relative_deprivation | collective_relative_deprivation | Netherlands |
| QID348_1 | intuition_logic | intuition | Hungary |
| QID348_104 | intuition_logic | logic | Hungary |
| QID416_1 | ideological_passion | harmonious_passion | Philippines |
| QID416_140 | ideological_passion | obsessive_passion | Philippines |
| QID416_141 | ideological_passion | harmonious_passion | Philippines |
| QID416_142 | ideological_passion | obsessive_passion | Philippines |
| QID416_143 | ideological_passion | harmonious_passion | Philippines |
| QID416_144 | ideological_passion | harmonious_passion | Philippines |
| QID416_145 | ideological_passion | obsessive_passion | Philippines |
| QID416_146 | ideological_passion | harmonious_passion | Philippines |
| QID416_147 | ideological_passion | obsessive_passion | Philippines |
| QID416_148 | ideological_passion | harmonious_passion | Philippines |
| QID416_149 | ideological_passion | obsessive_passion | Philippines |
| QID416_150 | ideological_passion | obsessive_passion | Philippines |
| QID416_151 | ideological_passion | commitment_passion | Philippines |
| QID416_152 | ideological_passion | commitment_passion | Philippines |
| QID416_153 | ideological_passion | commitment_passion | Philippines |
| QID416_154 | ideological_passion | commitment_passion | Philippines |
| QID418_1 | radical_intentions | violent_intent | Philippines |
| QID418_155 | radical_intentions | violent_intent | Philippines |
| QID418_156 | radical_intentions | violent_intent | Philippines |
| QID418_157 | radical_intentions | violent_intent | Philippines |
| QID418_159 | radical_intentions | violent_intent | Philippines |
| QID418_160 | radical_intentions | peaceful_intent | Philippines |
| QID418_161 | radical_intentions | peaceful_intent | Philippines |
| QID418_162 | radical_intentions | peaceful_intent | Philippines |
| QID418_163 | radical_intentions | peaceful_intent | Philippines |
| QID418_164 | radical_intentions | peaceful_intent | Philippines |
| QID418_165 | radical_intentions | peaceful_intent | Philippines |
| QID242_1 | radical_intentions | violent_intent | Norway |
| QID242_27 | radical_intentions | violent_intent | Norway |
| QID242_28 | radical_intentions | violent_intent | Norway |
| QID242_29 | radical_intentions | violent_intent | Norway |
| QID242_31 | radical_intentions | violent_intent | Norway |
| QID242_32 | radical_intentions | peaceful_intent | Norway |
| QID242_33 | radical_intentions | peaceful_intent | Norway |
| QID242_34 | radical_intentions | peaceful_intent | Norway |
| QID242_35 | radical_intentions | peaceful_intent | Norway |
| QID242_36 | radical_intentions | peaceful_intent | Norway |
| QID242_37 | radical_intentions | peaceful_intent | Norway |
| QID287_1 | radical_intentions | violent_intent | Denmark |
| QID287_56 | radical_intentions | violent_intent | Denmark |
| QID287_57 | radical_intentions | violent_intent | Denmark |
| QID287_58 | radical_intentions | violent_intent | Denmark |
| QID287_60 | radical_intentions | violent_intent | Denmark |
| QID287_61 | radical_intentions | peaceful_intent | Denmark |
| QID287_62 | radical_intentions | peaceful_intent | Denmark |
| QID287_63 | radical_intentions | peaceful_intent | Denmark |
| QID287_64 | radical_intentions | peaceful_intent | Denmark |
| QID287_65 | radical_intentions | peaceful_intent | Denmark |
| QID287_66 | radical_intentions | peaceful_intent | Denmark |
| QID513_1 | radical_intentions | violent_intent | Sweden |
| QID513_66 | radical_intentions | violent_intent | Sweden |
| QID513_67 | radical_intentions | violent_intent | Sweden |
| QID513_68 | radical_intentions | violent_intent | Sweden |
| QID513_70 | radical_intentions | violent_intent | Sweden |
| QID513_71 | radical_intentions | peaceful_intent | Sweden |
| QID513_72 | radical_intentions | peaceful_intent | Sweden |
| QID513_73 | radical_intentions | peaceful_intent | Sweden |
| QID513_74 | radical_intentions | peaceful_intent | Sweden |
| QID513_75 | radical_intentions | peaceful_intent | Sweden |
| QID513_76 | radical_intentions | peaceful_intent | Sweden |
| QID181_1 | radical_intentions | violent_intent | Italy |
| QID181_25 | radical_intentions | violent_intent | Italy |
| QID181_26 | radical_intentions | violent_intent | Italy |
| QID181_27 | radical_intentions | violent_intent | Italy |
| QID181_29 | radical_intentions | violent_intent | Italy |
| QID181_30 | radical_intentions | peaceful_intent | Italy |
| QID181_31 | radical_intentions | peaceful_intent | Italy |
| QID181_32 | radical_intentions | peaceful_intent | Italy |
| QID181_33 | radical_intentions | peaceful_intent | Italy |
| QID181_34 | radical_intentions | peaceful_intent | Italy |
| QID181_35 | radical_intentions | peaceful_intent | Italy |
| QID144_1 | radical_intentions | violent_intent | Netherlands |
| QID144_36 | radical_intentions | violent_intent | Netherlands |
| QID144_37 | radical_intentions | violent_intent | Netherlands |
| QID144_38 | radical_intentions | violent_intent | Netherlands |
| QID144_40 | radical_intentions | violent_intent | Netherlands |
| QID144_41 | radical_intentions | peaceful_intent | Netherlands |
| QID144_42 | radical_intentions | peaceful_intent | Netherlands |
| QID144_43 | radical_intentions | peaceful_intent | Netherlands |
| QID144_44 | radical_intentions | peaceful_intent | Netherlands |
| QID144_45 | radical_intentions | peaceful_intent | Netherlands |
| QID144_46 | radical_intentions | peaceful_intent | Netherlands |
| QID496_1 | past_activism | past_activism | Romania |
| QID496_13 | past_activism | past_activism | Romania |
| QID496_14 | past_activism | past_activism | Romania |
| QID496_15 | past_activism | past_activism | Romania |
| QID183_1 | past_activism | past_activism | Italy |
| QID183_10 | past_activism | past_activism | Italy |
| QID183_11 | past_activism | past_activism | Italy |
| QID183_12 | past_activism | past_activism | Italy |
| QID230_1 | past_activism | past_activism | Portugal |
| QID230_10 | past_activism | past_activism | Portugal |
| QID230_11 | past_activism | past_activism | Portugal |
| QID230_12 | past_activism | past_activism | Portugal |
| QID832_1 | past_activism | past_activism | Argentina |
| QID832_10 | past_activism | past_activism | Argentina |
| QID832_11 | past_activism | past_activism | Argentina |
| QID832_12 | past_activism | past_activism | Argentina |
| QID836_1 | past_activism | past_activism | Mexico |
| QID836_10 | past_activism | past_activism | Mexico |
| QID836_11 | past_activism | past_activism | Mexico |
| QID836_12 | past_activism | past_activism | Mexico |
| QID834_1 | past_activism | past_activism | Colombia |
| QID834_10 | past_activism | past_activism | Colombia |
| QID834_11 | past_activism | past_activism | Colombia |
| QID834_12 | past_activism | past_activism | Colombia |
| QID838_1 | past_activism | past_activism | Spain |
| QID838_10 | past_activism | past_activism | Spain |
| QID838_11 | past_activism | past_activism | Spain |
| QID838_12 | past_activism | past_activism | Spain |
| QID456_1 | radical_intentions | violent_intent | Austria |
| QID456_25 | radical_intentions | violent_intent | Austria |
| QID456_26 | radical_intentions | violent_intent | Austria |
| QID456_27 | radical_intentions | violent_intent | Austria |
| QID456_29 | radical_intentions | violent_intent | Austria |
| QID456_30 | radical_intentions | peaceful_intent | Austria |
| QID456_31 | radical_intentions | peaceful_intent | Austria |
| QID456_32 | radical_intentions | peaceful_intent | Austria |
| QID456_33 | radical_intentions | peaceful_intent | Austria |
| QID456_34 | radical_intentions | peaceful_intent | Austria |
| QID456_35 | radical_intentions | peaceful_intent | Austria |
| QID456_36 | radical_intentions | radical_intentions | Austria |
| QID163_1 | radical_intentions | violent_intent | Germany |
| QID163_25 | radical_intentions | violent_intent | Germany |
| QID163_26 | radical_intentions | violent_intent | Germany |
| QID163_27 | radical_intentions | violent_intent | Germany |
| QID163_29 | radical_intentions | violent_intent | Germany |
| QID163_30 | radical_intentions | peaceful_intent | Germany |
| QID163_31 | radical_intentions | peaceful_intent | Germany |
| QID163_32 | radical_intentions | peaceful_intent | Germany |
| QID163_33 | radical_intentions | peaceful_intent | Germany |
| QID163_34 | radical_intentions | peaceful_intent | Germany |
| QID163_35 | radical_intentions | peaceful_intent | Germany |
| QID422_1 | intuition_logic | intuition | Philippines |
| QID422_140 | intuition_logic | logic | Philippines |
| QID329_1 | intuition_logic | intuition | Greece |
| QID329_71 | intuition_logic | logic | Greece |
| QID323_1 | ideological_passion | harmonious_passion | Greece |
| QID323_56 | ideological_passion | obsessive_passion | Greece |
| QID323_57 | ideological_passion | harmonious_passion | Greece |
| QID323_58 | ideological_passion | obsessive_passion | Greece |
| QID323_59 | ideological_passion | harmonious_passion | Greece |
| QID323_60 | ideological_passion | harmonious_passion | Greece |
| QID323_61 | ideological_passion | obsessive_passion | Greece |
| QID323_62 | ideological_passion | harmonious_passion | Greece |
| QID323_63 | ideological_passion | obsessive_passion | Greece |
| QID323_64 | ideological_passion | harmonious_passion | Greece |
| QID323_65 | ideological_passion | obsessive_passion | Greece |
| QID323_66 | ideological_passion | obsessive_passion | Greece |
| QID323_67 | ideological_passion | commitment_passion | Greece |
| QID323_68 | ideological_passion | commitment_passion | Greece |
| QID323_69 | ideological_passion | commitment_passion | Greece |
| QID323_70 | ideological_passion | commitment_passion | Greece |
| QID325_1 | radical_intentions | violent_intent | Greece |
| QID325_71 | radical_intentions | violent_intent | Greece |
| QID325_72 | radical_intentions | violent_intent | Greece |
| QID325_73 | radical_intentions | violent_intent | Greece |
| QID325_75 | radical_intentions | violent_intent | Greece |
| QID325_76 | radical_intentions | peaceful_intent | Greece |
| QID325_77 | radical_intentions | peaceful_intent | Greece |
| QID325_78 | radical_intentions | peaceful_intent | Greece |
| QID325_79 | radical_intentions | peaceful_intent | Greece |
| QID325_80 | radical_intentions | peaceful_intent | Greece |
| QID325_81 | radical_intentions | peaceful_intent | Greece |
| QID327_1 | past_activism | past_activism | Greece |
| QID327_22 | past_activism | past_activism | Greece |
| QID327_23 | past_activism | past_activism | Greece |
| QID327_24 | past_activism | past_activism | Greece |
| QID317_1 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_48 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_49 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_50 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_51 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_52 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_53 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_54 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_55 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_56 | perceived_discrimination | perceived_discrimination | Greece |
| QID317_57 | perceived_discrimination | perceived_discrimination | Greece |
| QID319_1 | activist_intent | activist_intent | Greece |
| QID319_48 | activist_intent | activist_intent | Greece |
| QID319_49 | activist_intent | activist_intent | Greece |
| QID319_50 | activist_intent | activist_intent | Greece |
| QID313_1 | identity_fusion | identity_fusion | Greece |
| QID313_39 | identity_fusion | identity_fusion | Greece |
| QID313_40 | identity_fusion | identity_fusion | Greece |
| QID313_41 | identity_fusion | identity_fusion | Greece |
| QID313_42 | identity_fusion | identity_fusion | Greece |
| QID313_43 | identity_fusion | identity_fusion | Greece |
| QID313_44 | identity_fusion | identity_fusion | Greece |
| QID315_1 | ingroup_superiority | ingroup_superiority | Greece |
| QID315_45 | ingroup_superiority | ingroup_superiority | Greece |
| QID315_46 | ingroup_superiority | ingroup_superiority | Greece |
| QID315_47 | ingroup_superiority | ingroup_superiority | Greece |
| QID321_1 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID321_51 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID321_52 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID321_53 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID321_54 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID321_55 | collective_relative_deprivation | collective_relative_deprivation | Greece |
| QID332_1 | identity_fusion | identity_fusion | Hungary |
| QID332_72 | identity_fusion | identity_fusion | Hungary |
| QID332_73 | identity_fusion | identity_fusion | Hungary |
| QID332_74 | identity_fusion | identity_fusion | Hungary |
| QID332_75 | identity_fusion | identity_fusion | Hungary |
| QID332_76 | identity_fusion | identity_fusion | Hungary |
| QID332_77 | identity_fusion | identity_fusion | Hungary |
| QID334_1 | ingroup_superiority | ingroup_superiority | Hungary |
| QID334_78 | ingroup_superiority | ingroup_superiority | Hungary |
| QID334_79 | ingroup_superiority | ingroup_superiority | Hungary |
| QID334_80 | ingroup_superiority | ingroup_superiority | Hungary |
| QID340_1 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID340_84 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID340_85 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID340_86 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID340_87 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID340_88 | collective_relative_deprivation | collective_relative_deprivation | Hungary |
| QID338_1 | activist_intent | activist_intent | Hungary |
| QID338_81 | activist_intent | activist_intent | Hungary |
| QID338_82 | activist_intent | activist_intent | Hungary |
| QID338_83 | activist_intent | activist_intent | Hungary |
| QID336_1 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_81 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_82 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_83 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_84 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_85 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_86 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_87 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_88 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_89 | perceived_discrimination | perceived_discrimination | Hungary |
| QID336_90 | perceived_discrimination | perceived_discrimination | Hungary |
| QID346_1 | past_activism | past_activism | Hungary |
| QID346_25 | past_activism | past_activism | Hungary |
| QID346_26 | past_activism | past_activism | Hungary |
| QID346_27 | past_activism | past_activism | Hungary |
| QID272_1 | ideological_passion | harmonious_passion | Czech |
| QID272_38 | ideological_passion | obsessive_passion | Czech |
| QID272_39 | ideological_passion | harmonious_passion | Czech |
| QID272_40 | ideological_passion | obsessive_passion | Czech |
| QID272_41 | ideological_passion | harmonious_passion | Czech |
| QID272_42 | ideological_passion | harmonious_passion | Czech |
| QID272_43 | ideological_passion | obsessive_passion | Czech |
| QID272_44 | ideological_passion | harmonious_passion | Czech |
| QID272_45 | ideological_passion | obsessive_passion | Czech |
| QID272_46 | ideological_passion | harmonious_passion | Czech |
| QID272_47 | ideological_passion | obsessive_passion | Czech |
| QID272_48 | ideological_passion | obsessive_passion | Czech |
| QID272_49 | ideological_passion | commitment_passion | Czech |
| QID272_50 | ideological_passion | commitment_passion | Czech |
| QID272_51 | ideological_passion | commitment_passion | Czech |
| QID272_52 | ideological_passion | commitment_passion | Czech |
| QID304_1 | ideological_passion | harmonious_passion | Finland |
| QID304_50 | ideological_passion | obsessive_passion | Finland |
| QID304_51 | ideological_passion | harmonious_passion | Finland |
| QID304_52 | ideological_passion | obsessive_passion | Finland |
| QID304_53 | ideological_passion | harmonious_passion | Finland |
| QID304_54 | ideological_passion | harmonious_passion | Finland |
| QID304_55 | ideological_passion | obsessive_passion | Finland |
| QID304_56 | ideological_passion | harmonious_passion | Finland |
| QID304_57 | ideological_passion | obsessive_passion | Finland |
| QID304_58 | ideological_passion | harmonious_passion | Finland |
| QID304_59 | ideological_passion | obsessive_passion | Finland |
| QID304_60 | ideological_passion | obsessive_passion | Finland |
| QID304_61 | ideological_passion | commitment_passion | Finland |
| QID304_62 | ideological_passion | commitment_passion | Finland |
| QID304_63 | ideological_passion | commitment_passion | Finland |
| QID304_64 | ideological_passion | commitment_passion | Finland |
| QID308_1 | past_activism | past_activism | Finland |
| QID308_19 | past_activism | past_activism | Finland |
| QID308_20 | past_activism | past_activism | Finland |
| QID308_21 | past_activism | past_activism | Finland |
| QID306_1 | radical_intentions | violent_intent | Finland |
| QID306_65 | radical_intentions | violent_intent | Finland |
| QID306_66 | radical_intentions | violent_intent | Finland |
| QID306_67 | radical_intentions | violent_intent | Finland |
| QID306_69 | radical_intentions | violent_intent | Finland |
| QID306_70 | radical_intentions | peaceful_intent | Finland |
| QID306_71 | radical_intentions | peaceful_intent | Finland |
| QID306_72 | radical_intentions | peaceful_intent | Finland |
| QID306_73 | radical_intentions | peaceful_intent | Finland |
| QID306_74 | radical_intentions | peaceful_intent | Finland |
| QID306_75 | radical_intentions | peaceful_intent | Finland |
| QID545_1 | activist_intent | activist_intent | Turkey |
| QID545_55 | activist_intent | activist_intent | Turkey |
| QID545_56 | activist_intent | activist_intent | Turkey |
| QID545_57 | activist_intent | activist_intent | Turkey |
| QID553_1 | past_activism | past_activism | Turkey |
| QID553_22 | past_activism | past_activism | Turkey |
| QID553_23 | past_activism | past_activism | Turkey |
| QID553_24 | past_activism | past_activism | Turkey |
| QID543_1 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_55 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_56 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_57 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_58 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_59 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_60 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_61 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_62 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_63 | perceived_discrimination | perceived_discrimination | Turkey |
| QID543_64 | perceived_discrimination | perceived_discrimination | Turkey |
| QID816_24 | ideological_passion | harmonious_passion | Argentina |
| QID816_58 | ideological_passion | obsessive_passion | Argentina |
| QID816_59 | ideological_passion | harmonious_passion | Argentina |
| QID816_60 | ideological_passion | obsessive_passion | Argentina |
| QID816_61 | ideological_passion | harmonious_passion | Argentina |
| QID816_62 | ideological_passion | harmonious_passion | Argentina |
| QID816_63 | ideological_passion | obsessive_passion | Argentina |
| QID816_64 | ideological_passion | harmonious_passion | Argentina |
| QID816_65 | ideological_passion | obsessive_passion | Argentina |
| QID816_66 | ideological_passion | harmonious_passion | Argentina |
| QID816_67 | ideological_passion | obsessive_passion | Argentina |
| QID816_68 | ideological_passion | obsessive_passion | Argentina |
| QID816_69 | ideological_passion | commitment_passion | Argentina |
| QID816_70 | ideological_passion | commitment_passion | Argentina |
| QID816_71 | ideological_passion | commitment_passion | Argentina |
| QID816_72 | ideological_passion | commitment_passion | Argentina |
| QID820_24 | ideological_passion | harmonious_passion | Mexico |
| QID820_58 | ideological_passion | obsessive_passion | Mexico |
| QID820_59 | ideological_passion | harmonious_passion | Mexico |
| QID820_60 | ideological_passion | obsessive_passion | Mexico |
| QID820_61 | ideological_passion | harmonious_passion | Mexico |
| QID820_62 | ideological_passion | harmonious_passion | Mexico |
| QID820_63 | ideological_passion | obsessive_passion | Mexico |
| QID820_64 | ideological_passion | harmonious_passion | Mexico |
| QID820_65 | ideological_passion | obsessive_passion | Mexico |
| QID820_66 | ideological_passion | harmonious_passion | Mexico |
| QID820_67 | ideological_passion | obsessive_passion | Mexico |
| QID820_68 | ideological_passion | obsessive_passion | Mexico |
| QID820_69 | ideological_passion | commitment_passion | Mexico |
| QID820_70 | ideological_passion | commitment_passion | Mexico |
| QID820_71 | ideological_passion | commitment_passion | Mexico |
| QID820_72 | ideological_passion | commitment_passion | Mexico |
| QID818_24 | ideological_passion | harmonious_passion | Colombia |
| QID818_58 | ideological_passion | obsessive_passion | Colombia |
| QID818_59 | ideological_passion | harmonious_passion | Colombia |
| QID818_60 | ideological_passion | obsessive_passion | Colombia |
| QID818_61 | ideological_passion | harmonious_passion | Colombia |
| QID818_62 | ideological_passion | harmonious_passion | Colombia |
| QID818_63 | ideological_passion | obsessive_passion | Colombia |
| QID818_64 | ideological_passion | harmonious_passion | Colombia |
| QID818_65 | ideological_passion | obsessive_passion | Colombia |
| QID818_66 | ideological_passion | harmonious_passion | Colombia |
| QID818_67 | ideological_passion | obsessive_passion | Colombia |
| QID818_68 | ideological_passion | obsessive_passion | Colombia |
| QID818_69 | ideological_passion | commitment_passion | Colombia |
| QID818_70 | ideological_passion | commitment_passion | Colombia |
| QID818_71 | ideological_passion | commitment_passion | Colombia |
| QID818_72 | ideological_passion | commitment_passion | Colombia |
| QID822_24 | ideological_passion | harmonious_passion | Spain |
| QID822_58 | ideological_passion | obsessive_passion | Spain |
| QID822_59 | ideological_passion | harmonious_passion | Spain |
| QID822_60 | ideological_passion | obsessive_passion | Spain |
| QID822_61 | ideological_passion | harmonious_passion | Spain |
| QID822_62 | ideological_passion | harmonious_passion | Spain |
| QID822_63 | ideological_passion | obsessive_passion | Spain |
| QID822_64 | ideological_passion | harmonious_passion | Spain |
| QID822_65 | ideological_passion | obsessive_passion | Spain |
| QID822_66 | ideological_passion | harmonious_passion | Spain |
| QID822_67 | ideological_passion | obsessive_passion | Spain |
| QID822_68 | ideological_passion | obsessive_passion | Spain |
| QID822_69 | ideological_passion | commitment_passion | Spain |
| QID822_70 | ideological_passion | commitment_passion | Spain |
| QID822_71 | ideological_passion | commitment_passion | Spain |
| QID822_72 | ideological_passion | commitment_passion | Spain |
| QID344_1 | radical_intentions | violent_intent | Hungary |
| QID344_104 | radical_intentions | violent_intent | Hungary |
| QID344_105 | radical_intentions | violent_intent | Hungary |
| QID344_106 | radical_intentions | violent_intent | Hungary |
| QID344_108 | radical_intentions | violent_intent | Hungary |
| QID344_109 | radical_intentions | peaceful_intent | Hungary |
| QID344_110 | radical_intentions | peaceful_intent | Hungary |
| QID344_111 | radical_intentions | peaceful_intent | Hungary |
| QID344_112 | radical_intentions | peaceful_intent | Hungary |
| QID344_113 | radical_intentions | peaceful_intent | Hungary |
| QID344_114 | radical_intentions | peaceful_intent | Hungary |
| QID473_1 | ideological_passion | harmonious_passion | Poland |
| QID473_54 | ideological_passion | obsessive_passion | Poland |
| QID473_55 | ideological_passion | harmonious_passion | Poland |
| QID473_56 | ideological_passion | obsessive_passion | Poland |
| QID473_57 | ideological_passion | harmonious_passion | Poland |
| QID473_58 | ideological_passion | harmonious_passion | Poland |
| QID473_59 | ideological_passion | obsessive_passion | Poland |
| QID473_60 | ideological_passion | harmonious_passion | Poland |
| QID473_61 | ideological_passion | obsessive_passion | Poland |
| QID473_62 | ideological_passion | harmonious_passion | Poland |
| QID473_63 | ideological_passion | obsessive_passion | Poland |
| QID473_64 | ideological_passion | obsessive_passion | Poland |
| QID473_65 | ideological_passion | commitment_passion | Poland |
| QID473_66 | ideological_passion | commitment_passion | Poland |
| QID473_67 | ideological_passion | commitment_passion | Poland |
| QID473_68 | ideological_passion | commitment_passion | Poland |
| QID285_1 | ideological_passion | harmonious_passion | Denmark |
| QID285_41 | ideological_passion | obsessive_passion | Denmark |
| QID285_42 | ideological_passion | harmonious_passion | Denmark |
| QID285_43 | ideological_passion | obsessive_passion | Denmark |
| QID285_44 | ideological_passion | harmonious_passion | Denmark |
| QID285_45 | ideological_passion | harmonious_passion | Denmark |
| QID285_46 | ideological_passion | obsessive_passion | Denmark |
| QID285_47 | ideological_passion | harmonious_passion | Denmark |
| QID285_48 | ideological_passion | obsessive_passion | Denmark |
| QID285_49 | ideological_passion | harmonious_passion | Denmark |
| QID285_50 | ideological_passion | obsessive_passion | Denmark |
| QID285_51 | ideological_passion | obsessive_passion | Denmark |
| QID285_52 | ideological_passion | commitment_passion | Denmark |
| QID285_53 | ideological_passion | commitment_passion | Denmark |
| QID285_54 | ideological_passion | commitment_passion | Denmark |
| QID285_55 | ideological_passion | commitment_passion | Denmark |
| QID249_1 | ideological_passion | harmonious_passion | Norway |
| QID249_18 | ideological_passion | obsessive_passion | Norway |
| QID249_19 | ideological_passion | harmonious_passion | Norway |
| QID249_20 | ideological_passion | obsessive_passion | Norway |
| QID249_21 | ideological_passion | harmonious_passion | Norway |
| QID249_22 | ideological_passion | harmonious_passion | Norway |
| QID249_23 | ideological_passion | obsessive_passion | Norway |
| QID249_24 | ideological_passion | harmonious_passion | Norway |
| QID249_25 | ideological_passion | obsessive_passion | Norway |
| QID249_26 | ideological_passion | harmonious_passion | Norway |
| QID249_27 | ideological_passion | obsessive_passion | Norway |
| QID249_28 | ideological_passion | obsessive_passion | Norway |
| QID249_29 | ideological_passion | commitment_passion | Norway |
| QID249_30 | ideological_passion | commitment_passion | Norway |
| QID249_31 | ideological_passion | commitment_passion | Norway |
| QID249_32 | ideological_passion | commitment_passion | Norway |
| QID467_1 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_31 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_32 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_33 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_34 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_35 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_36 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_37 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_38 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_39 | perceived_discrimination | perceived_discrimination | Poland |
| QID467_40 | perceived_discrimination | perceived_discrimination | Poland |
| QID469_1 | activist_intent | activist_intent | Poland |
| QID469_31 | activist_intent | activist_intent | Poland |
| QID469_32 | activist_intent | activist_intent | Poland |
| QID469_33 | activist_intent | activist_intent | Poland |
| QID270_1 | activist_intent | activist_intent | Czech |
| QID270_30 | activist_intent | activist_intent | Czech |
| QID270_31 | activist_intent | activist_intent | Czech |
| QID270_32 | activist_intent | activist_intent | Czech |
| QID254_1 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_34 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_35 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_36 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_37 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_38 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_39 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_40 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_41 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_42 | perceived_discrimination | perceived_discrimination | Czech |
| QID254_43 | perceived_discrimination | perceived_discrimination | Czech |
| QID410_1 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_132 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_133 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_134 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_135 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_136 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_137 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_138 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_139 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_140 | perceived_discrimination | perceived_discrimination | Philippines |
| QID410_141 | perceived_discrimination | perceived_discrimination | Philippines |
| QID412_1 | activist_intent | activist_intent | Philippines |
| QID412_132 | activist_intent | activist_intent | Philippines |
| QID412_133 | activist_intent | activist_intent | Philippines |
| QID412_134 | activist_intent | activist_intent | Philippines |
| QID420_1 | past_activism | past_activism | Philippines |
| QID420_37 | past_activism | past_activism | Philippines |
| QID420_38 | past_activism | past_activism | Philippines |
| QID420_39 | past_activism | past_activism | Philippines |
| QID216_1 | identity_fusion | identity_fusion | Portugal |
| QID216_10 | identity_fusion | identity_fusion | Portugal |
| QID216_16 | identity_fusion | identity_fusion | Portugal |
| QID216_17 | identity_fusion | identity_fusion | Portugal |
| QID216_18 | identity_fusion | identity_fusion | Portugal |
| QID216_19 | identity_fusion | identity_fusion | Portugal |
| QID216_20 | identity_fusion | identity_fusion | Portugal |
| QID218_1 | ingroup_superiority | ingroup_superiority | Portugal |
| QID218_16 | ingroup_superiority | ingroup_superiority | Portugal |
| QID218_17 | ingroup_superiority | ingroup_superiority | Portugal |
| QID218_18 | ingroup_superiority | ingroup_superiority | Portugal |
| QID224_1 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID224_19 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID224_20 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID224_21 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID224_22 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID224_23 | collective_relative_deprivation | collective_relative_deprivation | Portugal |
| QID197_1 | identity_fusion | identity_fusion | Brazil |
| QID197_10 | identity_fusion | identity_fusion | Brazil |
| QID197_16 | identity_fusion | identity_fusion | Brazil |
| QID197_17 | identity_fusion | identity_fusion | Brazil |
| QID197_18 | identity_fusion | identity_fusion | Brazil |
| QID197_19 | identity_fusion | identity_fusion | Brazil |
| QID197_20 | identity_fusion | identity_fusion | Brazil |
| QID199_1 | ingroup_superiority | ingroup_superiority | Brazil |
| QID199_16 | ingroup_superiority | ingroup_superiority | Brazil |
| QID199_17 | ingroup_superiority | ingroup_superiority | Brazil |
| QID199_18 | ingroup_superiority | ingroup_superiority | Brazil |
| QID205_1 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID205_19 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID205_20 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID205_21 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID205_22 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID205_23 | collective_relative_deprivation | collective_relative_deprivation | Brazil |
| QID776_1 | identity_fusion | identity_fusion | Argentina |
| QID776_16 | identity_fusion | identity_fusion | Argentina |
| QID776_17 | identity_fusion | identity_fusion | Argentina |
| QID776_18 | identity_fusion | identity_fusion | Argentina |
| QID776_19 | identity_fusion | identity_fusion | Argentina |
| QID776_20 | identity_fusion | identity_fusion | Argentina |
| QID776_21 | identity_fusion | identity_fusion | Argentina |
| QID778_1 | identity_fusion | identity_fusion | Colombia |
| QID778_16 | identity_fusion | identity_fusion | Colombia |
| QID778_17 | identity_fusion | identity_fusion | Colombia |
| QID778_18 | identity_fusion | identity_fusion | Colombia |
| QID778_19 | identity_fusion | identity_fusion | Colombia |
| QID778_20 | identity_fusion | identity_fusion | Colombia |
| QID778_21 | identity_fusion | identity_fusion | Colombia |
| QID780_1 | identity_fusion | identity_fusion | Mexico |
| QID780_16 | identity_fusion | identity_fusion | Mexico |
| QID780_17 | identity_fusion | identity_fusion | Mexico |
| QID780_18 | identity_fusion | identity_fusion | Mexico |
| QID780_19 | identity_fusion | identity_fusion | Mexico |
| QID780_20 | identity_fusion | identity_fusion | Mexico |
| QID780_21 | identity_fusion | identity_fusion | Mexico |
| QID782_1 | identity_fusion | identity_fusion | Spain |
| QID782_16 | identity_fusion | identity_fusion | Spain |
| QID782_17 | identity_fusion | identity_fusion | Spain |
| QID782_18 | identity_fusion | identity_fusion | Spain |
| QID782_19 | identity_fusion | identity_fusion | Spain |
| QID782_20 | identity_fusion | identity_fusion | Spain |
| QID782_21 | identity_fusion | identity_fusion | Spain |
| QID784_1 | ingroup_superiority | ingroup_superiority | Argentina |
| QID784_16 | ingroup_superiority | ingroup_superiority | Argentina |
| QID784_17 | ingroup_superiority | ingroup_superiority | Argentina |
| QID784_18 | ingroup_superiority | ingroup_superiority | Argentina |
| QID786_1 | ingroup_superiority | ingroup_superiority | Colombia |
| QID786_16 | ingroup_superiority | ingroup_superiority | Colombia |
| QID786_17 | ingroup_superiority | ingroup_superiority | Colombia |
| QID786_18 | ingroup_superiority | ingroup_superiority | Colombia |
| QID788_1 | ingroup_superiority | ingroup_superiority | Mexico |
| QID788_16 | ingroup_superiority | ingroup_superiority | Mexico |
| QID788_17 | ingroup_superiority | ingroup_superiority | Mexico |
| QID788_18 | ingroup_superiority | ingroup_superiority | Mexico |
| QID790_1 | ingroup_superiority | ingroup_superiority | Spain |
| QID790_16 | ingroup_superiority | ingroup_superiority | Spain |
| QID790_17 | ingroup_superiority | ingroup_superiority | Spain |
| QID790_18 | ingroup_superiority | ingroup_superiority | Spain |
| QID808_1 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID808_19 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID808_20 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID808_21 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID808_22 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID808_23 | collective_relative_deprivation | collective_relative_deprivation | Argentina |
| QID810_1 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID810_19 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID810_20 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID810_21 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID810_22 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID810_23 | collective_relative_deprivation | collective_relative_deprivation | Colombia |
| QID812_1 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID812_19 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID812_20 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID812_21 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID812_22 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID812_23 | collective_relative_deprivation | collective_relative_deprivation | Mexico |
| QID814_1 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID814_19 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID814_20 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID814_21 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID814_22 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID814_23 | collective_relative_deprivation | collective_relative_deprivation | Spain |
| QID406_1 | identity_fusion | identity_fusion | Philippines |
| QID406_123 | identity_fusion | identity_fusion | Philippines |
| QID406_124 | identity_fusion | identity_fusion | Philippines |
| QID406_125 | identity_fusion | identity_fusion | Philippines |
| QID406_126 | identity_fusion | identity_fusion | Philippines |
| QID406_127 | identity_fusion | identity_fusion | Philippines |
| QID406_128 | identity_fusion | identity_fusion | Philippines |
| QID408_1 | ingroup_superiority | ingroup_superiority | Philippines |
| QID408_129 | ingroup_superiority | ingroup_superiority | Philippines |
| QID408_130 | ingroup_superiority | ingroup_superiority | Philippines |
| QID408_131 | ingroup_superiority | ingroup_superiority | Philippines |
| QID414_1 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID414_135 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID414_136 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID414_137 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID414_138 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID414_139 | collective_relative_deprivation | collective_relative_deprivation | Philippines |
| QID266_1 | intuition_logic | intuition | Czech |
| QID266_14 | intuition_logic | logic | Czech |
| QID179_24 | ideological_passion | harmonious_passion | Italy |
| QID179_58 | ideological_passion | obsessive_passion | Italy |
| QID179_59 | ideological_passion | harmonious_passion | Italy |
| QID179_60 | ideological_passion | obsessive_passion | Italy |
| QID179_61 | ideological_passion | harmonious_passion | Italy |
| QID179_62 | ideological_passion | harmonious_passion | Italy |
| QID179_63 | ideological_passion | obsessive_passion | Italy |
| QID179_64 | ideological_passion | harmonious_passion | Italy |
| QID179_65 | ideological_passion | obsessive_passion | Italy |
| QID179_66 | ideological_passion | harmonious_passion | Italy |
| QID179_67 | ideological_passion | obsessive_passion | Italy |
| QID179_68 | ideological_passion | obsessive_passion | Italy |
| QID179_69 | ideological_passion | commitment_passion | Italy |
| QID179_70 | ideological_passion | commitment_passion | Italy |
| QID179_71 | ideological_passion | commitment_passion | Italy |
| QID179_72 | ideological_passion | commitment_passion | Italy |
| QID213_1 | intuition_logic | intuition | Brazil |
| QID213_9 | intuition_logic | logic | Brazil |
| QID232_1 | intuition_logic | intuition | Portugal |
| QID232_9 | intuition_logic | logic | Portugal |
| QID441_1 | intuition_logic | intuition | France |
| QID441_14 | intuition_logic | logic | France |
| QID185_1 | intuition_logic | intuition | Italy |
| QID185_9 | intuition_logic | logic | Italy |
| QID482_1 | identity_fusion | identity_fusion | Romania |
| QID482_28 | identity_fusion | identity_fusion | Romania |
| QID482_29 | identity_fusion | identity_fusion | Romania |
| QID482_30 | identity_fusion | identity_fusion | Romania |
| QID482_31 | identity_fusion | identity_fusion | Romania |
| QID482_32 | identity_fusion | identity_fusion | Romania |
| QID482_33 | identity_fusion | identity_fusion | Romania |
| QID484_1 | ingroup_superiority | ingroup_superiority | Romania |
| QID484_34 | ingroup_superiority | ingroup_superiority | Romania |
| QID484_35 | ingroup_superiority | ingroup_superiority | Romania |
| QID484_36 | ingroup_superiority | ingroup_superiority | Romania |
| QID490_1 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID490_40 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID490_41 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID490_42 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID490_43 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID490_44 | collective_relative_deprivation | collective_relative_deprivation | Romania |
| QID171_1 | identity_fusion | identity_fusion | Italy |
| QID171_10 | identity_fusion | identity_fusion | Italy |
| QID171_16 | identity_fusion | identity_fusion | Italy |
| QID171_17 | identity_fusion | identity_fusion | Italy |
| QID171_18 | identity_fusion | identity_fusion | Italy |
| QID171_19 | identity_fusion | identity_fusion | Italy |
| QID171_20 | identity_fusion | identity_fusion | Italy |
| QID173_1 | ingroup_superiority | ingroup_superiority | Italy |
| QID173_16 | ingroup_superiority | ingroup_superiority | Italy |
| QID173_17 | ingroup_superiority | ingroup_superiority | Italy |
| QID173_18 | ingroup_superiority | ingroup_superiority | Italy |
| QID177_1 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID177_19 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID177_20 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID177_21 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID177_22 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID177_23 | collective_relative_deprivation | collective_relative_deprivation | Italy |
| QID840_1 | intuition_logic | intuition | Argentina |
| QID840_14 | intuition_logic | logic | Argentina |
| QID844_1 | intuition_logic | intuition | Mexico |
| QID844_9 | intuition_logic | logic | Mexico |
| QID842_1 | intuition_logic | intuition | Colombia |
| QID842_9 | intuition_logic | logic | Colombia |
| QID846_1 | intuition_logic | intuition | Spain |
| QID846_9 | intuition_logic | logic | Spain |
| QID744_1 | past_activism | past_activism | Nigeria |
| QID744_10 | past_activism | past_activism | Nigeria |
| QID744_11 | past_activism | past_activism | Nigeria |
| QID744_12 | past_activism | past_activism | Nigeria |
| QID128_1 | past_activism | past_activism | Australia |
| QID128_10 | past_activism | past_activism | Australia |
| QID128_11 | past_activism | past_activism | Australia |
| QID128_12 | past_activism | past_activism | Australia |
| QID881_1 | past_activism | past_activism | US Democrats |
| QID881_10 | past_activism | past_activism | US Democrats |
| QID881_11 | past_activism | past_activism | US Democrats |
| QID881_12 | past_activism | past_activism | US Democrats |
| QID67_1 | past_activism | past_activism | Canada |
| QID67_7 | past_activism | past_activism | Canada |
| QID67_8 | past_activism | past_activism | Canada |
| QID67_9 | past_activism | past_activism | Canada |
| QID572_1 | past_activism | past_activism | United Kingdom |
| QID572_7 | past_activism | past_activism | United Kingdom |
| QID572_8 | past_activism | past_activism | United Kingdom |
| QID572_9 | past_activism | past_activism | United Kingdom |
| QID883_1 | past_activism | past_activism | US Republicans |
| QID883_10 | past_activism | past_activism | US Republicans |
| QID883_11 | past_activism | past_activism | US Republicans |
| QID883_12 | past_activism | past_activism | US Republicans |
| QID72_1 | anger | anger | general |
| QID72_2 | anger | anger | general |
| QID72_3 | anger | anger | general |
| QID72_10 | anger | anger | general |
| QID72_4 | anger | anger | general |
| QID72_5 | anger | anger | general |
| QID72_6 | anger | anger | general |
| QID72_7 | anger | anger | general |
| QID72_8 | anger | anger | general |
| QID72_9 | anger | anger | general |
| QID71_1 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_14 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_15 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_16 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_17 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_18 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_19 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_20 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_21 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_22 | perceived_discrimination | perceived_discrimination | Canada |
| QID71_23 | perceived_discrimination | perceived_discrimination | Canada |
| QID118_1 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_24 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_25 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_26 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_27 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_28 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_29 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_30 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_31 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_32 | perceived_discrimination | perceived_discrimination | Australia |
| QID118_33 | perceived_discrimination | perceived_discrimination | Australia |
| QID562_1 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_14 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_15 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_16 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_17 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_18 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_19 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_20 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_21 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_22 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID562_23 | perceived_discrimination | perceived_discrimination | United Kingdom |
| QID634_1 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_35 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_36 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_37 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_38 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_39 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_40 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_41 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_42 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_43 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID634_44 | perceived_discrimination | perceived_discrimination | Nigeria |
| QID861_1 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_24 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_25 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_26 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_27 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_28 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_29 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_30 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_31 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_32 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID861_33 | perceived_discrimination | perceived_discrimination | US Democrats |
| QID863_1 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_24 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_25 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_26 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_27 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_28 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_29 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_30 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_31 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_32 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID863_33 | perceived_discrimination | perceived_discrimination | US Republicans |
| QID656_1 | activist_intent | activist_intent | Nigeria |
| QID656_10 | activist_intent | activist_intent | Nigeria |
| QID656_11 | activist_intent | activist_intent | Nigeria |
| QID656_12 | activist_intent | activist_intent | Nigeria |
| QID120_1 | activist_intent | activist_intent | Australia |
| QID120_10 | activist_intent | activist_intent | Australia |
| QID120_11 | activist_intent | activist_intent | Australia |
| QID120_12 | activist_intent | activist_intent | Australia |
| QID564_1 | activist_intent | activist_intent | United Kingdom |
| QID564_7 | activist_intent | activist_intent | United Kingdom |
| QID564_8 | activist_intent | activist_intent | United Kingdom |
| QID564_9 | activist_intent | activist_intent | United Kingdom |
| QID865_1 | activist_intent | activist_intent | US Democrats |
| QID865_10 | activist_intent | activist_intent | US Democrats |
| QID865_11 | activist_intent | activist_intent | US Democrats |
| QID865_12 | activist_intent | activist_intent | US Democrats |
| QID75_1 | activist_intent | activist_intent | Canada |
| QID75_7 | activist_intent | activist_intent | Canada |
| QID75_8 | activist_intent | activist_intent | Canada |
| QID75_9 | activist_intent | activist_intent | Canada |
| QID867_1 | activist_intent | activist_intent | US Republicans |
| QID867_10 | activist_intent | activist_intent | US Republicans |
| QID867_11 | activist_intent | activist_intent | US Republicans |
| QID867_12 | activist_intent | activist_intent | US Republicans |
| QID479_1 | intuition_logic | intuition | Poland |
| QID479_39 | intuition_logic | logic | Poland |
| QID222_1 | activist_intent | activist_intent | Portugal |
| QID222_7 | activist_intent | activist_intent | Portugal |
| QID222_8 | activist_intent | activist_intent | Portugal |
| QID222_9 | activist_intent | activist_intent | Portugal |
| QID220_1 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_24 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_25 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_26 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_27 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_28 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_29 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_30 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_31 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_32 | perceived_discrimination | perceived_discrimination | Portugal |
| QID220_33 | perceived_discrimination | perceived_discrimination | Portugal |
| QID203_1 | activist_intent | activist_intent | Brazil |
| QID203_10 | activist_intent | activist_intent | Brazil |
| QID203_11 | activist_intent | activist_intent | Brazil |
| QID203_12 | activist_intent | activist_intent | Brazil |
| QID211_1 | past_activism | past_activism | Brazil |
| QID211_10 | past_activism | past_activism | Brazil |
| QID211_11 | past_activism | past_activism | Brazil |
| QID211_12 | past_activism | past_activism | Brazil |
| QID425_1 | identity_fusion | identity_fusion | France |
| QID425_16 | identity_fusion | identity_fusion | France |
| QID425_17 | identity_fusion | identity_fusion | France |
| QID425_18 | identity_fusion | identity_fusion | France |
| QID425_19 | identity_fusion | identity_fusion | France |
| QID425_20 | identity_fusion | identity_fusion | France |
| QID425_21 | identity_fusion | identity_fusion | France |
| QID427_1 | ingroup_superiority | ingroup_superiority | France |
| QID427_16 | ingroup_superiority | ingroup_superiority | France |
| QID427_17 | ingroup_superiority | ingroup_superiority | France |
| QID427_18 | ingroup_superiority | ingroup_superiority | France |
| QID433_1 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID433_19 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID433_20 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID433_21 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID433_22 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID433_23 | collective_relative_deprivation | collective_relative_deprivation | France |
| QID234_1 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_14 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_15 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_16 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_17 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_18 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_19 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_20 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_21 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_22 | perceived_discrimination | perceived_discrimination | Norway |
| QID234_23 | perceived_discrimination | perceived_discrimination | Norway |
| QID236_1 | activist_intent | activist_intent | Norway |
| QID236_10 | activist_intent | activist_intent | Norway |
| QID236_11 | activist_intent | activist_intent | Norway |
| QID236_12 | activist_intent | activist_intent | Norway |
| QID363_1 | radical_intentions | violent_intent | Malaysia |
| QID363_137 | radical_intentions | violent_intent | Malaysia |
| QID363_138 | radical_intentions | violent_intent | Malaysia |
| QID363_139 | radical_intentions | violent_intent | Malaysia |
| QID363_141 | radical_intentions | violent_intent | Malaysia |
| QID363_142 | radical_intentions | peaceful_intent | Malaysia |
| QID363_143 | radical_intentions | peaceful_intent | Malaysia |
| QID363_144 | radical_intentions | peaceful_intent | Malaysia |
| QID363_145 | radical_intentions | peaceful_intent | Malaysia |
| QID363_146 | radical_intentions | peaceful_intent | Malaysia |
| QID363_147 | radical_intentions | peaceful_intent | Malaysia |
| QID361_1 | ideological_passion | harmonious_passion | Malaysia |
| QID361_122 | ideological_passion | obsessive_passion | Malaysia |
| QID361_123 | ideological_passion | harmonious_passion | Malaysia |
| QID361_124 | ideological_passion | obsessive_passion | Malaysia |
| QID361_125 | ideological_passion | harmonious_passion | Malaysia |
| QID361_126 | ideological_passion | harmonious_passion | Malaysia |
| QID361_127 | ideological_passion | obsessive_passion | Malaysia |
| QID361_128 | ideological_passion | harmonious_passion | Malaysia |
| QID361_129 | ideological_passion | obsessive_passion | Malaysia |
| QID361_130 | ideological_passion | harmonious_passion | Malaysia |
| QID361_131 | ideological_passion | obsessive_passion | Malaysia |
| QID361_132 | ideological_passion | obsessive_passion | Malaysia |
| QID361_133 | ideological_passion | commitment_passion | Malaysia |
| QID361_134 | ideological_passion | commitment_passion | Malaysia |
| QID361_135 | ideological_passion | commitment_passion | Malaysia |
| QID361_136 | ideological_passion | commitment_passion | Malaysia |
| QID355_1 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_114 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_115 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_116 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_117 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_118 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_119 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_120 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_121 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_122 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID355_123 | perceived_discrimination | perceived_discrimination | Malaysia |
| QID357_1 | activist_intent | activist_intent | Malaysia |
| QID357_114 | activist_intent | activist_intent | Malaysia |
| QID357_115 | activist_intent | activist_intent | Malaysia |
| QID357_116 | activist_intent | activist_intent | Malaysia |
| QID365_1 | past_activism | past_activism | Malaysia |
| QID365_28 | past_activism | past_activism | Malaysia |
| QID365_29 | past_activism | past_activism | Malaysia |
| QID365_30 | past_activism | past_activism | Malaysia |
| QID148_1 | intuition_logic | intuition | Netherlands |
| QID148_14 | intuition_logic | logic | Netherlands |
| QID511_1 | ideological_passion | harmonious_passion | Sweden |
| QID511_51 | ideological_passion | obsessive_passion | Sweden |
| QID511_52 | ideological_passion | harmonious_passion | Sweden |
| QID511_53 | ideological_passion | obsessive_passion | Sweden |
| QID511_54 | ideological_passion | harmonious_passion | Sweden |
| QID511_55 | ideological_passion | harmonious_passion | Sweden |
| QID511_56 | ideological_passion | obsessive_passion | Sweden |
| QID511_57 | ideological_passion | harmonious_passion | Sweden |
| QID511_58 | ideological_passion | obsessive_passion | Sweden |
| QID511_59 | ideological_passion | harmonious_passion | Sweden |
| QID511_60 | ideological_passion | obsessive_passion | Sweden |
| QID511_61 | ideological_passion | obsessive_passion | Sweden |
| QID511_62 | ideological_passion | commitment_passion | Sweden |
| QID511_63 | ideological_passion | commitment_passion | Sweden |
| QID511_64 | ideological_passion | commitment_passion | Sweden |
| QID511_65 | ideological_passion | commitment_passion | Sweden |
| QID291_1 | intuition_logic | intuition | Denmark |
| QID291_15 | intuition_logic | logic | Denmark |
| QID246_1 | intuition_logic | intuition | Norway |
| QID246_14 | intuition_logic | logic | Norway |
| QID130_1 | intuition_logic | intuition | Australia |
| QID130_9 | intuition_logic | logic | Australia |
| QID574_1 | intuition_logic | intuition | United Kingdom |
| QID574_9 | intuition_logic | logic | United Kingdom |
| QID885_1 | intuition_logic | intuition | US Democrats |
| QID885_9 | intuition_logic | logic | US Democrats |
| QID101_1 | intuition_logic | intuition | Canada |
| QID101_9 | intuition_logic | logic | Canada |
| QID887_1 | intuition_logic | intuition | US Republicans |
| QID887_9 | intuition_logic | logic | US Republicans |
| QID766_1 | intuition_logic | intuition | Nigeria |
| QID766_9 | intuition_logic | logic | Nigeria |
| QID47_1 | panas | positive_affect | general |
| QID47_32 | panas | positive_affect | general |
| QID47_33 | panas | positive_affect | general |
| QID47_34 | panas | positive_affect | general |
| QID47_35 | panas | positive_affect | general |
| QID47_36 | panas | negative_affect | general |
| QID47_37 | panas | negative_affect | general |
| QID47_38 | panas | negative_affect | general |
| QID47_39 | panas | negative_affect | general |
| QID47_40 | panas | negative_affect | general |
| QID126_1 | radical_intentions | violent_intent | Australia |
| QID126_25 | radical_intentions | violent_intent | Australia |
| QID126_26 | radical_intentions | violent_intent | Australia |
| QID126_27 | radical_intentions | violent_intent | Australia |
| QID126_29 | radical_intentions | violent_intent | Australia |
| QID126_30 | radical_intentions | peaceful_intent | Australia |
| QID126_31 | radical_intentions | peaceful_intent | Australia |
| QID126_32 | radical_intentions | peaceful_intent | Australia |
| QID126_33 | radical_intentions | peaceful_intent | Australia |
| QID126_34 | radical_intentions | peaceful_intent | Australia |
| QID126_35 | radical_intentions | peaceful_intent | Australia |
| QID570_1 | radical_intentions | violent_intent | United Kingdom |
| QID570_14 | radical_intentions | violent_intent | United Kingdom |
| QID570_15 | radical_intentions | violent_intent | United Kingdom |
| QID570_16 | radical_intentions | violent_intent | United Kingdom |
| QID570_18 | radical_intentions | violent_intent | United Kingdom |
| QID570_19 | radical_intentions | peaceful_intent | United Kingdom |
| QID570_20 | radical_intentions | peaceful_intent | United Kingdom |
| QID570_21 | radical_intentions | peaceful_intent | United Kingdom |
| QID570_22 | radical_intentions | peaceful_intent | United Kingdom |
| QID570_23 | radical_intentions | peaceful_intent | United Kingdom |
| QID570_24 | radical_intentions | peaceful_intent | United Kingdom |
| QID877_1 | radical_intentions | violent_intent | US Democrats |
| QID877_25 | radical_intentions | violent_intent | US Democrats |
| QID877_26 | radical_intentions | violent_intent | US Democrats |
| QID877_27 | radical_intentions | violent_intent | US Democrats |
| QID877_29 | radical_intentions | violent_intent | US Democrats |
| QID877_30 | radical_intentions | peaceful_intent | US Democrats |
| QID877_31 | radical_intentions | peaceful_intent | US Democrats |
| QID877_32 | radical_intentions | peaceful_intent | US Democrats |
| QID877_33 | radical_intentions | peaceful_intent | US Democrats |
| QID877_34 | radical_intentions | peaceful_intent | US Democrats |
| QID877_35 | radical_intentions | peaceful_intent | US Democrats |
| QID98_1 | radical_intentions | violent_intent | Canada |
| QID98_14 | radical_intentions | violent_intent | Canada |
| QID98_15 | radical_intentions | violent_intent | Canada |
| QID98_16 | radical_intentions | violent_intent | Canada |
| QID98_18 | radical_intentions | violent_intent | Canada |
| QID98_19 | radical_intentions | peaceful_intent | Canada |
| QID98_20 | radical_intentions | peaceful_intent | Canada |
| QID98_21 | radical_intentions | peaceful_intent | Canada |
| QID98_22 | radical_intentions | peaceful_intent | Canada |
| QID98_23 | radical_intentions | peaceful_intent | Canada |
| QID98_24 | radical_intentions | peaceful_intent | Canada |
| QID879_1 | radical_intentions | violent_intent | US Republicans |
| QID879_25 | radical_intentions | violent_intent | US Republicans |
| QID879_26 | radical_intentions | violent_intent | US Republicans |
| QID879_27 | radical_intentions | violent_intent | US Republicans |
| QID879_29 | radical_intentions | violent_intent | US Republicans |
| QID879_30 | radical_intentions | peaceful_intent | US Republicans |
| QID879_31 | radical_intentions | peaceful_intent | US Republicans |
| QID879_32 | radical_intentions | peaceful_intent | US Republicans |
| QID879_33 | radical_intentions | peaceful_intent | US Republicans |
| QID879_34 | radical_intentions | peaceful_intent | US Republicans |
| QID879_35 | radical_intentions | peaceful_intent | US Republicans |
| QID722_1 | radical_intentions | violent_intent | Nigeria |
| QID722_25 | radical_intentions | violent_intent | Nigeria |
| QID722_26 | radical_intentions | violent_intent | Nigeria |
| QID722_27 | radical_intentions | violent_intent | Nigeria |
| QID722_29 | radical_intentions | violent_intent | Nigeria |
| QID722_30 | radical_intentions | peaceful_intent | Nigeria |
| QID722_31 | radical_intentions | peaceful_intent | Nigeria |
| QID722_32 | radical_intentions | peaceful_intent | Nigeria |
| QID722_33 | radical_intentions | peaceful_intent | Nigeria |
| QID722_34 | radical_intentions | peaceful_intent | Nigeria |
| QID722_35 | radical_intentions | peaceful_intent | Nigeria |
| QID250_1 | identity_fusion | identity_fusion | Czech |
| QID250_21 | identity_fusion | identity_fusion | Czech |
| QID250_22 | identity_fusion | identity_fusion | Czech |
| QID250_23 | identity_fusion | identity_fusion | Czech |
| QID250_24 | identity_fusion | identity_fusion | Czech |
| QID250_25 | identity_fusion | identity_fusion | Czech |
| QID250_26 | identity_fusion | identity_fusion | Czech |
| QID269_1 | ingroup_superiority | ingroup_superiority | Czech |
| QID269_27 | ingroup_superiority | ingroup_superiority | Czech |
| QID269_28 | ingroup_superiority | ingroup_superiority | Czech |
| QID269_29 | ingroup_superiority | ingroup_superiority | Czech |
| QID271_1 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID271_33 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID271_34 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID271_35 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID271_36 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID271_37 | collective_relative_deprivation | collective_relative_deprivation | Czech |
| QID351_1 | identity_fusion | identity_fusion | Malaysia |
| QID351_105 | identity_fusion | identity_fusion | Malaysia |
| QID351_106 | identity_fusion | identity_fusion | Malaysia |
| QID351_107 | identity_fusion | identity_fusion | Malaysia |
| QID351_108 | identity_fusion | identity_fusion | Malaysia |
| QID351_109 | identity_fusion | identity_fusion | Malaysia |
| QID351_110 | identity_fusion | identity_fusion | Malaysia |
| QID353_1 | ingroup_superiority | ingroup_superiority | Malaysia |
| QID353_111 | ingroup_superiority | ingroup_superiority | Malaysia |
| QID353_112 | ingroup_superiority | ingroup_superiority | Malaysia |
| QID353_113 | ingroup_superiority | ingroup_superiority | Malaysia |
| QID359_1 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID359_117 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID359_118 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID359_119 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID359_120 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID359_121 | collective_relative_deprivation | collective_relative_deprivation | Malaysia |
| QID732_1 | past_activism | past_activism | Algeria |
| QID732_10 | past_activism | past_activism | Algeria |
| QID732_11 | past_activism | past_activism | Algeria |
| QID732_12 | past_activism | past_activism | Algeria |
| QID734_1 | past_activism | past_activism | Egypt |
| QID734_10 | past_activism | past_activism | Egypt |
| QID734_11 | past_activism | past_activism | Egypt |
| QID734_12 | past_activism | past_activism | Egypt |
| QID736_1 | past_activism | past_activism | Jordan |
| QID736_10 | past_activism | past_activism | Jordan |
| QID736_11 | past_activism | past_activism | Jordan |
| QID736_12 | past_activism | past_activism | Jordan |
| QID738_1 | past_activism | past_activism | Kuwait |
| QID738_10 | past_activism | past_activism | Kuwait |
| QID738_11 | past_activism | past_activism | Kuwait |
| QID738_12 | past_activism | past_activism | Kuwait |
| QID740_1 | past_activism | past_activism | Lebanon |
| QID740_10 | past_activism | past_activism | Lebanon |
| QID740_11 | past_activism | past_activism | Lebanon |
| QID740_12 | past_activism | past_activism | Lebanon |
| QID742_1 | past_activism | past_activism | Morocco |
| QID742_10 | past_activism | past_activism | Morocco |
| QID742_11 | past_activism | past_activism | Morocco |
| QID742_12 | past_activism | past_activism | Morocco |
| QID748_1 | past_activism | past_activism | Saudi Arabia |
| QID748_10 | past_activism | past_activism | Saudi Arabia |
| QID748_11 | past_activism | past_activism | Saudi Arabia |
| QID748_12 | past_activism | past_activism | Saudi Arabia |
| QID752_1 | past_activism | past_activism | Tunisia |
| QID752_10 | past_activism | past_activism | Tunisia |
| QID752_11 | past_activism | past_activism | Tunisia |
| QID752_12 | past_activism | past_activism | Tunisia |
| QID644_1 | activist_intent | activist_intent | Algeria |
| QID644_13 | activist_intent | activist_intent | Algeria |
| QID644_14 | activist_intent | activist_intent | Algeria |
| QID644_15 | activist_intent | activist_intent | Algeria |
| QID646_1 | activist_intent | activist_intent | Egypt |
| QID646_13 | activist_intent | activist_intent | Egypt |
| QID646_14 | activist_intent | activist_intent | Egypt |
| QID646_15 | activist_intent | activist_intent | Egypt |
| QID648_1 | activist_intent | activist_intent | Jordan |
| QID648_13 | activist_intent | activist_intent | Jordan |
| QID648_14 | activist_intent | activist_intent | Jordan |
| QID648_15 | activist_intent | activist_intent | Jordan |
| QID650_1 | activist_intent | activist_intent | Kuwait |
| QID650_13 | activist_intent | activist_intent | Kuwait |
| QID650_14 | activist_intent | activist_intent | Kuwait |
| QID650_15 | activist_intent | activist_intent | Kuwait |
| QID652_1 | activist_intent | activist_intent | Lebanon |
| QID652_13 | activist_intent | activist_intent | Lebanon |
| QID652_14 | activist_intent | activist_intent | Lebanon |
| QID652_15 | activist_intent | activist_intent | Lebanon |
| QID654_1 | activist_intent | activist_intent | Morocco |
| QID654_13 | activist_intent | activist_intent | Morocco |
| QID654_14 | activist_intent | activist_intent | Morocco |
| QID654_15 | activist_intent | activist_intent | Morocco |
| QID660_1 | activist_intent | activist_intent | Saudi Arabia |
| QID660_13 | activist_intent | activist_intent | Saudi Arabia |
| QID660_14 | activist_intent | activist_intent | Saudi Arabia |
| QID660_15 | activist_intent | activist_intent | Saudi Arabia |
| QID664_1 | activist_intent | activist_intent | Tunisia |
| QID664_13 | activist_intent | activist_intent | Tunisia |
| QID664_14 | activist_intent | activist_intent | Tunisia |
| QID664_15 | activist_intent | activist_intent | Tunisia |
| QID622_1 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_34 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_35 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_36 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_37 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_38 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_39 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_40 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_41 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_42 | perceived_discrimination | perceived_discrimination | Algeria |
| QID622_43 | perceived_discrimination | perceived_discrimination | Algeria |
| QID624_1 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_24 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_25 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_26 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_27 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_28 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_29 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_30 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_31 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_32 | perceived_discrimination | perceived_discrimination | Egypt |
| QID624_33 | perceived_discrimination | perceived_discrimination | Egypt |
| QID626_1 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_24 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_25 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_26 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_27 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_28 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_29 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_30 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_31 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_32 | perceived_discrimination | perceived_discrimination | Jordan |
| QID626_33 | perceived_discrimination | perceived_discrimination | Jordan |
| QID628_1 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_24 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_25 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_26 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_27 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_28 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_29 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_30 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_31 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_32 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID628_33 | perceived_discrimination | perceived_discrimination | Kuwait |
| QID630_1 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_24 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_25 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_26 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_27 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_28 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_29 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_30 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_31 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_32 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID630_33 | perceived_discrimination | perceived_discrimination | Lebanon |
| QID632_1 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_24 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_25 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_26 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_27 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_28 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_29 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_30 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_31 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_32 | perceived_discrimination | perceived_discrimination | Morocco |
| QID632_33 | perceived_discrimination | perceived_discrimination | Morocco |
| QID638_1 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_24 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_25 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_26 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_27 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_28 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_29 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_30 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_31 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_32 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID638_33 | perceived_discrimination | perceived_discrimination | Saudi Arabia |
| QID642_1 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_24 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_25 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_26 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_27 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_28 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_29 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_30 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_31 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_32 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID642_33 | perceived_discrimination | perceived_discrimination | Tunisia |
| QID264_1 | past_activism | past_activism | Czech |
| QID264_13 | past_activism | past_activism | Czech |
| QID264_14 | past_activism | past_activism | Czech |
| QID264_15 | past_activism | past_activism | Czech |
| QID754_1 | intuition_logic | intuition | Algeria |
| QID754_9 | intuition_logic | logic | Algeria |
| QID756_1 | intuition_logic | intuition | Egypt |
| QID756_9 | intuition_logic | logic | Egypt |
| QID758_1 | intuition_logic | intuition | Jordan |
| QID758_9 | intuition_logic | logic | Jordan |
| QID760_1 | intuition_logic | intuition | Kuwait |
| QID760_9 | intuition_logic | logic | Kuwait |
| QID762_1 | intuition_logic | intuition | Lebanon |
| QID762_9 | intuition_logic | logic | Lebanon |
| QID764_1 | intuition_logic | intuition | Morocco |
| QID764_9 | intuition_logic | logic | Morocco |
| QID770_1 | intuition_logic | intuition | Saudi Arabia |
| QID770_9 | intuition_logic | logic | Saudi Arabia |
| QID774_1 | intuition_logic | intuition | Tunisia |
| QID774_9 | intuition_logic | logic | Tunisia |
| QID576_1 | identity_fusion | identity_fusion | Algeria |
| QID576_22 | identity_fusion | identity_fusion | Algeria |
| QID576_23 | identity_fusion | identity_fusion | Algeria |
| QID576_24 | identity_fusion | identity_fusion | Algeria |
| QID576_25 | identity_fusion | identity_fusion | Algeria |
| QID576_26 | identity_fusion | identity_fusion | Algeria |
| QID576_27 | identity_fusion | identity_fusion | Algeria |
| QID578_1 | identity_fusion | identity_fusion | Egypt |
| QID578_22 | identity_fusion | identity_fusion | Egypt |
| QID578_23 | identity_fusion | identity_fusion | Egypt |
| QID578_24 | identity_fusion | identity_fusion | Egypt |
| QID578_25 | identity_fusion | identity_fusion | Egypt |
| QID578_26 | identity_fusion | identity_fusion | Egypt |
| QID578_27 | identity_fusion | identity_fusion | Egypt |
| QID580_1 | identity_fusion | identity_fusion | Jordan |
| QID580_22 | identity_fusion | identity_fusion | Jordan |
| QID580_23 | identity_fusion | identity_fusion | Jordan |
| QID580_24 | identity_fusion | identity_fusion | Jordan |
| QID580_25 | identity_fusion | identity_fusion | Jordan |
| QID580_26 | identity_fusion | identity_fusion | Jordan |
| QID580_27 | identity_fusion | identity_fusion | Jordan |
| QID582_1 | identity_fusion | identity_fusion | Kuwait |
| QID582_22 | identity_fusion | identity_fusion | Kuwait |
| QID582_23 | identity_fusion | identity_fusion | Kuwait |
| QID582_24 | identity_fusion | identity_fusion | Kuwait |
| QID582_25 | identity_fusion | identity_fusion | Kuwait |
| QID582_26 | identity_fusion | identity_fusion | Kuwait |
| QID582_27 | identity_fusion | identity_fusion | Kuwait |
| QID584_1 | identity_fusion | identity_fusion | Lebanon |
| QID584_16 | identity_fusion | identity_fusion | Lebanon |
| QID584_17 | identity_fusion | identity_fusion | Lebanon |
| QID584_18 | identity_fusion | identity_fusion | Lebanon |
| QID584_19 | identity_fusion | identity_fusion | Lebanon |
| QID584_20 | identity_fusion | identity_fusion | Lebanon |
| QID584_21 | identity_fusion | identity_fusion | Lebanon |
| QID586_1 | identity_fusion | identity_fusion | Morocco |
| QID586_16 | identity_fusion | identity_fusion | Morocco |
| QID586_17 | identity_fusion | identity_fusion | Morocco |
| QID586_18 | identity_fusion | identity_fusion | Morocco |
| QID586_19 | identity_fusion | identity_fusion | Morocco |
| QID586_20 | identity_fusion | identity_fusion | Morocco |
| QID586_21 | identity_fusion | identity_fusion | Morocco |
| QID594_1 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_16 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_17 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_18 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_19 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_20 | identity_fusion | identity_fusion | Saudi Arabia |
| QID594_21 | identity_fusion | identity_fusion | Saudi Arabia |
| QID598_1 | identity_fusion | identity_fusion | Tunisia |
| QID598_16 | identity_fusion | identity_fusion | Tunisia |
| QID598_17 | identity_fusion | identity_fusion | Tunisia |
| QID598_18 | identity_fusion | identity_fusion | Tunisia |
| QID598_19 | identity_fusion | identity_fusion | Tunisia |
| QID598_20 | identity_fusion | identity_fusion | Tunisia |
| QID598_21 | identity_fusion | identity_fusion | Tunisia |
| QID600_1 | ingroup_superiority | ingroup_superiority | Algeria |
| QID600_16 | ingroup_superiority | ingroup_superiority | Algeria |
| QID600_17 | ingroup_superiority | ingroup_superiority | Algeria |
| QID600_18 | ingroup_superiority | ingroup_superiority | Algeria |
| QID602_1 | ingroup_superiority | ingroup_superiority | Egypt |
| QID602_16 | ingroup_superiority | ingroup_superiority | Egypt |
| QID602_17 | ingroup_superiority | ingroup_superiority | Egypt |
| QID602_18 | ingroup_superiority | ingroup_superiority | Egypt |
| QID604_1 | ingroup_superiority | ingroup_superiority | Jordan |
| QID604_16 | ingroup_superiority | ingroup_superiority | Jordan |
| QID604_17 | ingroup_superiority | ingroup_superiority | Jordan |
| QID604_18 | ingroup_superiority | ingroup_superiority | Jordan |
| QID606_1 | ingroup_superiority | ingroup_superiority | Kuwait |
| QID606_16 | ingroup_superiority | ingroup_superiority | Kuwait |
| QID606_17 | ingroup_superiority | ingroup_superiority | Kuwait |
| QID606_18 | ingroup_superiority | ingroup_superiority | Kuwait |
| QID608_1 | ingroup_superiority | ingroup_superiority | Lebanon |
| QID608_16 | ingroup_superiority | ingroup_superiority | Lebanon |
| QID608_17 | ingroup_superiority | ingroup_superiority | Lebanon |
| QID608_18 | ingroup_superiority | ingroup_superiority | Lebanon |
| QID610_1 | ingroup_superiority | ingroup_superiority | Morocco |
| QID610_16 | ingroup_superiority | ingroup_superiority | Morocco |
| QID610_17 | ingroup_superiority | ingroup_superiority | Morocco |
| QID610_18 | ingroup_superiority | ingroup_superiority | Morocco |
| QID616_1 | ingroup_superiority | ingroup_superiority | Saudi Arabia |
| QID616_16 | ingroup_superiority | ingroup_superiority | Saudi Arabia |
| QID616_17 | ingroup_superiority | ingroup_superiority | Saudi Arabia |
| QID616_18 | ingroup_superiority | ingroup_superiority | Saudi Arabia |
| QID620_1 | ingroup_superiority | ingroup_superiority | Tunisia |
| QID620_16 | ingroup_superiority | ingroup_superiority | Tunisia |
| QID620_17 | ingroup_superiority | ingroup_superiority | Tunisia |
| QID620_18 | ingroup_superiority | ingroup_superiority | Tunisia |
| QID666_1 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID666_19 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID666_20 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID666_21 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID666_22 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID666_23 | collective_relative_deprivation | collective_relative_deprivation | Algeria |
| QID668_1 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID668_19 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID668_20 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID668_21 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID668_22 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID668_23 | collective_relative_deprivation | collective_relative_deprivation | Egypt |
| QID670_1 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID670_19 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID670_20 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID670_21 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID670_22 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID670_23 | collective_relative_deprivation | collective_relative_deprivation | Jordan |
| QID672_1 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID672_19 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID672_20 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID672_21 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID672_22 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID672_23 | collective_relative_deprivation | collective_relative_deprivation | Kuwait |
| QID674_1 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID674_19 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID674_20 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID674_21 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID674_22 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID674_23 | collective_relative_deprivation | collective_relative_deprivation | Lebanon |
| QID676_1 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID676_19 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID676_20 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID676_21 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID676_22 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID676_23 | collective_relative_deprivation | collective_relative_deprivation | Morocco |
| QID682_1 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID682_19 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID682_20 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID682_21 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID682_22 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID682_23 | collective_relative_deprivation | collective_relative_deprivation | Saudi Arabia |
| QID686_1 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID686_19 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID686_20 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID686_21 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID686_22 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID686_23 | collective_relative_deprivation | collective_relative_deprivation | Tunisia |
| QID175_1 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_24 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_25 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_26 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_27 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_28 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_29 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_30 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_31 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_32 | perceived_discrimination | perceived_discrimination | Italy |
| QID175_33 | perceived_discrimination | perceived_discrimination | Italy |
| QID189_1 | activist_intent | activist_intent | Italy |
| QID189_10 | activist_intent | activist_intent | Italy |
| QID189_11 | activist_intent | activist_intent | Italy |
| QID189_12 | activist_intent | activist_intent | Italy |
| QID294_1 | identity_fusion | identity_fusion | Finland |
| QID294_33 | identity_fusion | identity_fusion | Finland |
| QID294_34 | identity_fusion | identity_fusion | Finland |
| QID294_35 | identity_fusion | identity_fusion | Finland |
| QID294_36 | identity_fusion | identity_fusion | Finland |
| QID294_37 | identity_fusion | identity_fusion | Finland |
| QID294_38 | identity_fusion | identity_fusion | Finland |
| QID296_1 | ingroup_superiority | ingroup_superiority | Finland |
| QID296_39 | ingroup_superiority | ingroup_superiority | Finland |
| QID296_40 | ingroup_superiority | ingroup_superiority | Finland |
| QID296_41 | ingroup_superiority | ingroup_superiority | Finland |
| QID302_1 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID302_45 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID302_46 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID302_47 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID302_48 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID302_49 | collective_relative_deprivation | collective_relative_deprivation | Finland |
| QID298_1 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_42 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_43 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_44 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_45 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_46 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_47 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_48 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_49 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_50 | perceived_discrimination | perceived_discrimination | Finland |
| QID298_51 | perceived_discrimination | perceived_discrimination | Finland |
| QID300_1 | activist_intent | activist_intent | Finland |
| QID300_42 | activist_intent | activist_intent | Finland |
| QID300_43 | activist_intent | activist_intent | Finland |
| QID300_44 | activist_intent | activist_intent | Finland |
| QID275_1 | identity_fusion | identity_fusion | Denmark |
| QID275_27 | identity_fusion | identity_fusion | Denmark |
| QID275_28 | identity_fusion | identity_fusion | Denmark |
| QID275_29 | identity_fusion | identity_fusion | Denmark |
| QID275_30 | identity_fusion | identity_fusion | Denmark |
| QID275_31 | identity_fusion | identity_fusion | Denmark |
| QID275_32 | identity_fusion | identity_fusion | Denmark |
| QID277_1 | ingroup_superiority | ingroup_superiority | Denmark |
| QID277_33 | ingroup_superiority | ingroup_superiority | Denmark |
| QID277_34 | ingroup_superiority | ingroup_superiority | Denmark |
| QID277_35 | ingroup_superiority | ingroup_superiority | Denmark |
| QID283_1 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID283_36 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID283_37 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID283_38 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID283_39 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID283_40 | collective_relative_deprivation | collective_relative_deprivation | Denmark |
| QID431_1 | activist_intent | activist_intent | France |
| QID431_10 | activist_intent | activist_intent | France |
| QID431_11 | activist_intent | activist_intent | France |
| QID431_12 | activist_intent | activist_intent | France |
| QID429_1 | perceived_discrimination | perceived_discrimination | France |
| QID429_24 | perceived_discrimination | perceived_discrimination | France |
| QID429_25 | perceived_discrimination | perceived_discrimination | France |
| QID429_26 | perceived_discrimination | perceived_discrimination | France |
| QID429_27 | perceived_discrimination | perceived_discrimination | France |
| QID429_28 | perceived_discrimination | perceived_discrimination | France |
| QID429_29 | perceived_discrimination | perceived_discrimination | France |
| QID429_30 | perceived_discrimination | perceived_discrimination | France |
| QID429_31 | perceived_discrimination | perceived_discrimination | France |
| QID429_32 | perceived_discrimination | perceived_discrimination | France |
| QID429_33 | perceived_discrimination | perceived_discrimination | France |
| QID439_1 | past_activism | past_activism | France |
| QID439_10 | past_activism | past_activism | France |
| QID439_11 | past_activism | past_activism | France |
| QID439_12 | past_activism | past_activism | France |
| QID281_1 | activist_intent | activist_intent | Denmark |
| QID281_36 | activist_intent | activist_intent | Denmark |
| QID281_37 | activist_intent | activist_intent | Denmark |
| QID281_38 | activist_intent | activist_intent | Denmark |
| QID279_1 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_36 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_37 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_38 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_39 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_40 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_41 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_42 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_43 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_44 | perceived_discrimination | perceived_discrimination | Denmark |
| QID279_45 | perceived_discrimination | perceived_discrimination | Denmark |
| QID475_1 | radical_intentions | violent_intent | Poland |
| QID475_69 | radical_intentions | violent_intent | Poland |
| QID475_70 | radical_intentions | violent_intent | Poland |
| QID475_71 | radical_intentions | violent_intent | Poland |
| QID475_73 | radical_intentions | violent_intent | Poland |
| QID475_74 | radical_intentions | peaceful_intent | Poland |
| QID475_75 | radical_intentions | peaceful_intent | Poland |
| QID475_76 | radical_intentions | peaceful_intent | Poland |
| QID475_77 | radical_intentions | peaceful_intent | Poland |
| QID475_78 | radical_intentions | peaceful_intent | Poland |
| QID475_79 | radical_intentions | peaceful_intent | Poland |
| QID700_24 | ideological_passion | harmonious_passion | Nigeria |
| QID700_58 | ideological_passion | obsessive_passion | Nigeria |
| QID700_59 | ideological_passion | harmonious_passion | Nigeria |
| QID700_60 | ideological_passion | obsessive_passion | Nigeria |
| QID700_61 | ideological_passion | harmonious_passion | Nigeria |
| QID700_62 | ideological_passion | harmonious_passion | Nigeria |
| QID700_63 | ideological_passion | obsessive_passion | Nigeria |
| QID700_64 | ideological_passion | harmonious_passion | Nigeria |
| QID700_65 | ideological_passion | obsessive_passion | Nigeria |
| QID700_66 | ideological_passion | harmonious_passion | Nigeria |
| QID700_67 | ideological_passion | obsessive_passion | Nigeria |
| QID700_68 | ideological_passion | obsessive_passion | Nigeria |
| QID700_69 | ideological_passion | commitment_passion | Nigeria |
| QID700_70 | ideological_passion | commitment_passion | Nigeria |
| QID700_71 | ideological_passion | commitment_passion | Nigeria |
| QID700_72 | ideological_passion | commitment_passion | Nigeria |
| QID124_24 | ideological_passion | harmonious_passion | Australia |
| QID124_58 | ideological_passion | obsessive_passion | Australia |
| QID124_59 | ideological_passion | harmonious_passion | Australia |
| QID124_60 | ideological_passion | obsessive_passion | Australia |
| QID124_61 | ideological_passion | harmonious_passion | Australia |
| QID124_62 | ideological_passion | harmonious_passion | Australia |
| QID124_63 | ideological_passion | obsessive_passion | Australia |
| QID124_64 | ideological_passion | harmonious_passion | Australia |
| QID124_65 | ideological_passion | obsessive_passion | Australia |
| QID124_66 | ideological_passion | harmonious_passion | Australia |
| QID124_67 | ideological_passion | obsessive_passion | Australia |
| QID124_68 | ideological_passion | obsessive_passion | Australia |
| QID124_69 | ideological_passion | commitment_passion | Australia |
| QID124_70 | ideological_passion | commitment_passion | Australia |
| QID124_71 | ideological_passion | commitment_passion | Australia |
| QID124_72 | ideological_passion | commitment_passion | Australia |
| QID568_24 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_43 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_44 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_45 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_46 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_47 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_48 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_49 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_50 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_51 | ideological_passion | harmonious_passion | United Kingdom |
| QID568_52 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_53 | ideological_passion | obsessive_passion | United Kingdom |
| QID568_54 | ideological_passion | commitment_passion | United Kingdom |
| QID568_55 | ideological_passion | commitment_passion | United Kingdom |
| QID568_56 | ideological_passion | commitment_passion | United Kingdom |
| QID568_57 | ideological_passion | commitment_passion | United Kingdom |
| QID873_24 | ideological_passion | harmonious_passion | US Democrats |
| QID873_58 | ideological_passion | obsessive_passion | US Democrats |
| QID873_59 | ideological_passion | harmonious_passion | US Democrats |
| QID873_60 | ideological_passion | obsessive_passion | US Democrats |
| QID873_61 | ideological_passion | harmonious_passion | US Democrats |
| QID873_62 | ideological_passion | harmonious_passion | US Democrats |
| QID873_63 | ideological_passion | obsessive_passion | US Democrats |
| QID873_64 | ideological_passion | harmonious_passion | US Democrats |
| QID873_65 | ideological_passion | obsessive_passion | US Democrats |
| QID873_66 | ideological_passion | harmonious_passion | US Democrats |
| QID873_67 | ideological_passion | obsessive_passion | US Democrats |
| QID873_68 | ideological_passion | obsessive_passion | US Democrats |
| QID873_69 | ideological_passion | commitment_passion | US Democrats |
| QID873_70 | ideological_passion | commitment_passion | US Democrats |
| QID873_71 | ideological_passion | commitment_passion | US Democrats |
| QID873_72 | ideological_passion | commitment_passion | US Democrats |
| QID3_24 | ideological_passion | harmonious_passion | Canada |
| QID3_43 | ideological_passion | obsessive_passion | Canada |
| QID3_44 | ideological_passion | harmonious_passion | Canada |
| QID3_45 | ideological_passion | obsessive_passion | Canada |
| QID3_46 | ideological_passion | harmonious_passion | Canada |
| QID3_47 | ideological_passion | harmonious_passion | Canada |
| QID3_48 | ideological_passion | obsessive_passion | Canada |
| QID3_49 | ideological_passion | harmonious_passion | Canada |
| QID3_50 | ideological_passion | obsessive_passion | Canada |
| QID3_51 | ideological_passion | harmonious_passion | Canada |
| QID3_52 | ideological_passion | obsessive_passion | Canada |
| QID3_53 | ideological_passion | obsessive_passion | Canada |
| QID3_54 | ideological_passion | commitment_passion | Canada |
| QID3_55 | ideological_passion | commitment_passion | Canada |
| QID3_56 | ideological_passion | commitment_passion | Canada |
| QID3_57 | ideological_passion | commitment_passion | Canada |
| QID875_24 | ideological_passion | harmonious_passion | US Republicans |
| QID875_58 | ideological_passion | obsessive_passion | US Republicans |
| QID875_59 | ideological_passion | harmonious_passion | US Republicans |
| QID875_60 | ideological_passion | obsessive_passion | US Republicans |
| QID875_61 | ideological_passion | harmonious_passion | US Republicans |
| QID875_62 | ideological_passion | harmonious_passion | US Republicans |
| QID875_63 | ideological_passion | obsessive_passion | US Republicans |
| QID875_64 | ideological_passion | harmonious_passion | US Republicans |
| QID875_65 | ideological_passion | obsessive_passion | US Republicans |
| QID875_66 | ideological_passion | harmonious_passion | US Republicans |
| QID875_67 | ideological_passion | obsessive_passion | US Republicans |
| QID875_68 | ideological_passion | obsessive_passion | US Republicans |
| QID875_69 | ideological_passion | commitment_passion | US Republicans |
| QID875_70 | ideological_passion | commitment_passion | US Republicans |
| QID875_71 | ideological_passion | commitment_passion | US Republicans |
| QID875_72 | ideological_passion | commitment_passion | US Republicans |
| QID477_1 | past_activism | past_activism | Poland |
| QID477_10 | past_activism | past_activism | Poland |
| QID477_11 | past_activism | past_activism | Poland |
| QID477_12 | past_activism | past_activism | Poland |
| QID896_1 | activist_intent | activist_intent | Israel |
| QID896_10 | activist_intent | activist_intent | Israel |
| QID896_11 | activist_intent | activist_intent | Israel |
| QID896_12 | activist_intent | activist_intent | Israel |
| QID894_1 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_24 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_25 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_26 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_27 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_28 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_29 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_30 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_31 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_32 | perceived_discrimination | perceived_discrimination | Israel |
| QID894_33 | perceived_discrimination | perceived_discrimination | Israel |
| QID890_1 | identity_fusion | identity_fusion | Israel |
| QID890_22 | identity_fusion | identity_fusion | Israel |
| QID890_23 | identity_fusion | identity_fusion | Israel |
| QID890_24 | identity_fusion | identity_fusion | Israel |
| QID890_25 | identity_fusion | identity_fusion | Israel |
| QID890_26 | identity_fusion | identity_fusion | Israel |
| QID890_27 | identity_fusion | identity_fusion | Israel |
| QID892_1 | ingroup_superiority | ingroup_superiority | Israel |
| QID892_16 | ingroup_superiority | ingroup_superiority | Israel |
| QID892_17 | ingroup_superiority | ingroup_superiority | Israel |
| QID892_18 | ingroup_superiority | ingroup_superiority | Israel |
| QID898_1 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID898_19 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID898_20 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID898_21 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID898_22 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID898_23 | collective_relative_deprivation | collective_relative_deprivation | Israel |
| QID900_24 | ideological_passion | harmonious_passion | Israel |
| QID900_58 | ideological_passion | obsessive_passion | Israel |
| QID900_59 | ideological_passion | harmonious_passion | Israel |
| QID900_60 | ideological_passion | obsessive_passion | Israel |
| QID900_61 | ideological_passion | harmonious_passion | Israel |
| QID900_62 | ideological_passion | harmonious_passion | Israel |
| QID900_63 | ideological_passion | obsessive_passion | Israel |
| QID900_64 | ideological_passion | harmonious_passion | Israel |
| QID900_65 | ideological_passion | obsessive_passion | Israel |
| QID900_66 | ideological_passion | harmonious_passion | Israel |
| QID900_67 | ideological_passion | obsessive_passion | Israel |
| QID900_68 | ideological_passion | obsessive_passion | Israel |
| QID900_69 | ideological_passion | commitment_passion | Israel |
| QID900_70 | ideological_passion | commitment_passion | Israel |
| QID900_71 | ideological_passion | commitment_passion | Israel |
| QID900_72 | ideological_passion | commitment_passion | Israel |
| QID688_24 | ideological_passion | harmonious_passion | Algeria |
| QID688_58 | ideological_passion | obsessive_passion | Algeria |
| QID688_59 | ideological_passion | harmonious_passion | Algeria |
| QID688_60 | ideological_passion | obsessive_passion | Algeria |
| QID688_61 | ideological_passion | harmonious_passion | Algeria |
| QID688_62 | ideological_passion | harmonious_passion | Algeria |
| QID688_63 | ideological_passion | obsessive_passion | Algeria |
| QID688_64 | ideological_passion | harmonious_passion | Algeria |
| QID688_65 | ideological_passion | obsessive_passion | Algeria |
| QID688_66 | ideological_passion | harmonious_passion | Algeria |
| QID688_67 | ideological_passion | obsessive_passion | Algeria |
| QID688_68 | ideological_passion | obsessive_passion | Algeria |
| QID688_69 | ideological_passion | commitment_passion | Algeria |
| QID688_70 | ideological_passion | commitment_passion | Algeria |
| QID688_71 | ideological_passion | commitment_passion | Algeria |
| QID688_72 | ideological_passion | commitment_passion | Algeria |
| QID690_24 | ideological_passion | harmonious_passion | Egypt |
| QID690_58 | ideological_passion | obsessive_passion | Egypt |
| QID690_59 | ideological_passion | harmonious_passion | Egypt |
| QID690_60 | ideological_passion | obsessive_passion | Egypt |
| QID690_61 | ideological_passion | harmonious_passion | Egypt |
| QID690_62 | ideological_passion | harmonious_passion | Egypt |
| QID690_63 | ideological_passion | obsessive_passion | Egypt |
| QID690_64 | ideological_passion | harmonious_passion | Egypt |
| QID690_65 | ideological_passion | obsessive_passion | Egypt |
| QID690_66 | ideological_passion | harmonious_passion | Egypt |
| QID690_67 | ideological_passion | obsessive_passion | Egypt |
| QID690_68 | ideological_passion | obsessive_passion | Egypt |
| QID690_69 | ideological_passion | commitment_passion | Egypt |
| QID690_70 | ideological_passion | commitment_passion | Egypt |
| QID690_71 | ideological_passion | commitment_passion | Egypt |
| QID690_72 | ideological_passion | commitment_passion | Egypt |
| QID692_24 | ideological_passion | harmonious_passion | Jordan |
| QID692_58 | ideological_passion | obsessive_passion | Jordan |
| QID692_59 | ideological_passion | harmonious_passion | Jordan |
| QID692_60 | ideological_passion | obsessive_passion | Jordan |
| QID692_61 | ideological_passion | harmonious_passion | Jordan |
| QID692_62 | ideological_passion | harmonious_passion | Jordan |
| QID692_63 | ideological_passion | obsessive_passion | Jordan |
| QID692_64 | ideological_passion | harmonious_passion | Jordan |
| QID692_65 | ideological_passion | obsessive_passion | Jordan |
| QID692_66 | ideological_passion | harmonious_passion | Jordan |
| QID692_67 | ideological_passion | obsessive_passion | Jordan |
| QID692_68 | ideological_passion | obsessive_passion | Jordan |
| QID692_69 | ideological_passion | commitment_passion | Jordan |
| QID692_70 | ideological_passion | commitment_passion | Jordan |
| QID692_71 | ideological_passion | commitment_passion | Jordan |
| QID692_72 | ideological_passion | commitment_passion | Jordan |
| QID694_24 | ideological_passion | harmonious_passion | Kuwait |
| QID694_58 | ideological_passion | obsessive_passion | Kuwait |
| QID694_59 | ideological_passion | harmonious_passion | Kuwait |
| QID694_60 | ideological_passion | obsessive_passion | Kuwait |
| QID694_61 | ideological_passion | harmonious_passion | Kuwait |
| QID694_62 | ideological_passion | harmonious_passion | Kuwait |
| QID694_63 | ideological_passion | obsessive_passion | Kuwait |
| QID694_64 | ideological_passion | harmonious_passion | Kuwait |
| QID694_65 | ideological_passion | obsessive_passion | Kuwait |
| QID694_66 | ideological_passion | harmonious_passion | Kuwait |
| QID694_67 | ideological_passion | obsessive_passion | Kuwait |
| QID694_68 | ideological_passion | obsessive_passion | Kuwait |
| QID694_69 | ideological_passion | commitment_passion | Kuwait |
| QID694_70 | ideological_passion | commitment_passion | Kuwait |
| QID694_71 | ideological_passion | commitment_passion | Kuwait |
| QID694_72 | ideological_passion | commitment_passion | Kuwait |
| QID696_24 | ideological_passion | harmonious_passion | Lebanon |
| QID696_58 | ideological_passion | obsessive_passion | Lebanon |
| QID696_59 | ideological_passion | harmonious_passion | Lebanon |
| QID696_60 | ideological_passion | obsessive_passion | Lebanon |
| QID696_61 | ideological_passion | harmonious_passion | Lebanon |
| QID696_62 | ideological_passion | harmonious_passion | Lebanon |
| QID696_63 | ideological_passion | obsessive_passion | Lebanon |
| QID696_64 | ideological_passion | harmonious_passion | Lebanon |
| QID696_65 | ideological_passion | obsessive_passion | Lebanon |
| QID696_66 | ideological_passion | harmonious_passion | Lebanon |
| QID696_67 | ideological_passion | obsessive_passion | Lebanon |
| QID696_68 | ideological_passion | obsessive_passion | Lebanon |
| QID696_69 | ideological_passion | commitment_passion | Lebanon |
| QID696_70 | ideological_passion | commitment_passion | Lebanon |
| QID696_71 | ideological_passion | commitment_passion | Lebanon |
| QID696_72 | ideological_passion | commitment_passion | Lebanon |
| QID698_24 | ideological_passion | harmonious_passion | Morocco |
| QID698_58 | ideological_passion | obsessive_passion | Morocco |
| QID698_59 | ideological_passion | harmonious_passion | Morocco |
| QID698_60 | ideological_passion | obsessive_passion | Morocco |
| QID698_61 | ideological_passion | harmonious_passion | Morocco |
| QID698_62 | ideological_passion | harmonious_passion | Morocco |
| QID698_63 | ideological_passion | obsessive_passion | Morocco |
| QID698_64 | ideological_passion | harmonious_passion | Morocco |
| QID698_65 | ideological_passion | obsessive_passion | Morocco |
| QID698_66 | ideological_passion | harmonious_passion | Morocco |
| QID698_67 | ideological_passion | obsessive_passion | Morocco |
| QID698_68 | ideological_passion | obsessive_passion | Morocco |
| QID698_69 | ideological_passion | commitment_passion | Morocco |
| QID698_70 | ideological_passion | commitment_passion | Morocco |
| QID698_71 | ideological_passion | commitment_passion | Morocco |
| QID698_72 | ideological_passion | commitment_passion | Morocco |
| QID704_24 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_58 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_59 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_60 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_61 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_62 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_63 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_64 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_65 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_66 | ideological_passion | harmonious_passion | Saudi Arabia |
| QID704_67 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_68 | ideological_passion | obsessive_passion | Saudi Arabia |
| QID704_69 | ideological_passion | commitment_passion | Saudi Arabia |
| QID704_70 | ideological_passion | commitment_passion | Saudi Arabia |
| QID704_71 | ideological_passion | commitment_passion | Saudi Arabia |
| QID704_72 | ideological_passion | commitment_passion | Saudi Arabia |
| QID708_24 | ideological_passion | harmonious_passion | Tunisia |
| QID708_58 | ideological_passion | obsessive_passion | Tunisia |
| QID708_59 | ideological_passion | harmonious_passion | Tunisia |
| QID708_60 | ideological_passion | obsessive_passion | Tunisia |
| QID708_61 | ideological_passion | harmonious_passion | Tunisia |
| QID708_62 | ideological_passion | harmonious_passion | Tunisia |
| QID708_63 | ideological_passion | obsessive_passion | Tunisia |
| QID708_64 | ideological_passion | harmonious_passion | Tunisia |
| QID708_65 | ideological_passion | obsessive_passion | Tunisia |
| QID708_66 | ideological_passion | harmonious_passion | Tunisia |
| QID708_67 | ideological_passion | obsessive_passion | Tunisia |
| QID708_68 | ideological_passion | obsessive_passion | Tunisia |
| QID708_69 | ideological_passion | commitment_passion | Tunisia |
| QID708_70 | ideological_passion | commitment_passion | Tunisia |
| QID708_71 | ideological_passion | commitment_passion | Tunisia |
| QID708_72 | ideological_passion | commitment_passion | Tunisia |
| QID710_1 | radical_intentions | violent_intent | Algeria |
| QID710_25 | radical_intentions | violent_intent | Algeria |
| QID710_26 | radical_intentions | violent_intent | Algeria |
| QID710_27 | radical_intentions | violent_intent | Algeria |
| QID710_29 | radical_intentions | violent_intent | Algeria |
| QID710_30 | radical_intentions | peaceful_intent | Algeria |
| QID710_31 | radical_intentions | peaceful_intent | Algeria |
| QID710_32 | radical_intentions | peaceful_intent | Algeria |
| QID710_33 | radical_intentions | peaceful_intent | Algeria |
| QID710_34 | radical_intentions | peaceful_intent | Algeria |
| QID710_35 | radical_intentions | peaceful_intent | Algeria |
| QID712_1 | radical_intentions | violent_intent | Egypt |
| QID712_25 | radical_intentions | violent_intent | Egypt |
| QID712_26 | radical_intentions | violent_intent | Egypt |
| QID712_27 | radical_intentions | violent_intent | Egypt |
| QID712_29 | radical_intentions | violent_intent | Egypt |
| QID712_30 | radical_intentions | peaceful_intent | Egypt |
| QID712_31 | radical_intentions | peaceful_intent | Egypt |
| QID712_32 | radical_intentions | peaceful_intent | Egypt |
| QID712_33 | radical_intentions | peaceful_intent | Egypt |
| QID712_34 | radical_intentions | peaceful_intent | Egypt |
| QID712_35 | radical_intentions | peaceful_intent | Egypt |
| QID714_1 | radical_intentions | violent_intent | Jordan |
| QID714_25 | radical_intentions | violent_intent | Jordan |
| QID714_26 | radical_intentions | violent_intent | Jordan |
| QID714_27 | radical_intentions | violent_intent | Jordan |
| QID714_29 | radical_intentions | violent_intent | Jordan |
| QID714_30 | radical_intentions | peaceful_intent | Jordan |
| QID714_31 | radical_intentions | peaceful_intent | Jordan |
| QID714_32 | radical_intentions | peaceful_intent | Jordan |
| QID714_33 | radical_intentions | peaceful_intent | Jordan |
| QID714_34 | radical_intentions | peaceful_intent | Jordan |
| QID714_35 | radical_intentions | peaceful_intent | Jordan |
| QID716_1 | radical_intentions | violent_intent | Kuwait |
| QID716_25 | radical_intentions | violent_intent | Kuwait |
| QID716_26 | radical_intentions | violent_intent | Kuwait |
| QID716_27 | radical_intentions | violent_intent | Kuwait |
| QID716_29 | radical_intentions | violent_intent | Kuwait |
| QID716_30 | radical_intentions | peaceful_intent | Kuwait |
| QID716_31 | radical_intentions | peaceful_intent | Kuwait |
| QID716_32 | radical_intentions | peaceful_intent | Kuwait |
| QID716_33 | radical_intentions | peaceful_intent | Kuwait |
| QID716_34 | radical_intentions | peaceful_intent | Kuwait |
| QID716_35 | radical_intentions | peaceful_intent | Kuwait |
| QID718_1 | radical_intentions | violent_intent | Lebanon |
| QID718_25 | radical_intentions | violent_intent | Lebanon |
| QID718_26 | radical_intentions | violent_intent | Lebanon |
| QID718_27 | radical_intentions | violent_intent | Lebanon |
| QID718_29 | radical_intentions | violent_intent | Lebanon |
| QID718_30 | radical_intentions | peaceful_intent | Lebanon |
| QID718_31 | radical_intentions | peaceful_intent | Lebanon |
| QID718_32 | radical_intentions | peaceful_intent | Lebanon |
| QID718_33 | radical_intentions | peaceful_intent | Lebanon |
| QID718_34 | radical_intentions | peaceful_intent | Lebanon |
| QID718_35 | radical_intentions | peaceful_intent | Lebanon |
| QID720_1 | radical_intentions | violent_intent | Morocco |
| QID720_25 | radical_intentions | violent_intent | Morocco |
| QID720_26 | radical_intentions | violent_intent | Morocco |
| QID720_27 | radical_intentions | violent_intent | Morocco |
| QID720_29 | radical_intentions | violent_intent | Morocco |
| QID720_30 | radical_intentions | peaceful_intent | Morocco |
| QID720_31 | radical_intentions | peaceful_intent | Morocco |
| QID720_32 | radical_intentions | peaceful_intent | Morocco |
| QID720_33 | radical_intentions | peaceful_intent | Morocco |
| QID720_34 | radical_intentions | peaceful_intent | Morocco |
| QID720_35 | radical_intentions | peaceful_intent | Morocco |
| QID726_1 | radical_intentions | violent_intent | Saudi Arabia |
| QID726_25 | radical_intentions | violent_intent | Saudi Arabia |
| QID726_26 | radical_intentions | violent_intent | Saudi Arabia |
| QID726_27 | radical_intentions | violent_intent | Saudi Arabia |
| QID726_29 | radical_intentions | violent_intent | Saudi Arabia |
| QID726_30 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID726_31 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID726_32 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID726_33 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID726_34 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID726_35 | radical_intentions | peaceful_intent | Saudi Arabia |
| QID730_1 | radical_intentions | violent_intent | Tunisia |
| QID730_25 | radical_intentions | violent_intent | Tunisia |
| QID730_26 | radical_intentions | violent_intent | Tunisia |
| QID730_27 | radical_intentions | violent_intent | Tunisia |
| QID730_29 | radical_intentions | violent_intent | Tunisia |
| QID730_30 | radical_intentions | peaceful_intent | Tunisia |
| QID730_31 | radical_intentions | peaceful_intent | Tunisia |
| QID730_32 | radical_intentions | peaceful_intent | Tunisia |
| QID730_33 | radical_intentions | peaceful_intent | Tunisia |
| QID730_34 | radical_intentions | peaceful_intent | Tunisia |
| QID730_35 | radical_intentions | peaceful_intent | Tunisia |
| QID399_1 | radical_intentions | violent_intent | Pakistan |
| QID399_149 | radical_intentions | violent_intent | Pakistan |
| QID399_150 | radical_intentions | violent_intent | Pakistan |
| QID399_151 | radical_intentions | violent_intent | Pakistan |
| QID399_153 | radical_intentions | violent_intent | Pakistan |
| QID399_154 | radical_intentions | peaceful_intent | Pakistan |
| QID399_155 | radical_intentions | peaceful_intent | Pakistan |
| QID399_156 | radical_intentions | peaceful_intent | Pakistan |
| QID399_157 | radical_intentions | peaceful_intent | Pakistan |
| QID399_158 | radical_intentions | peaceful_intent | Pakistan |
| QID399_159 | radical_intentions | peaceful_intent | Pakistan |
| QID403_1 | intuition_logic | intuition | Pakistan |
| QID403_134 | intuition_logic | logic | Pakistan |
| QID397_1 | ideological_passion | harmonious_passion | Pakistan |
| QID397_134 | ideological_passion | obsessive_passion | Pakistan |
| QID397_135 | ideological_passion | harmonious_passion | Pakistan |
| QID397_136 | ideological_passion | obsessive_passion | Pakistan |
| QID397_137 | ideological_passion | harmonious_passion | Pakistan |
| QID397_138 | ideological_passion | harmonious_passion | Pakistan |
| QID397_139 | ideological_passion | obsessive_passion | Pakistan |
| QID397_140 | ideological_passion | harmonious_passion | Pakistan |
| QID397_141 | ideological_passion | obsessive_passion | Pakistan |
| QID397_142 | ideological_passion | harmonious_passion | Pakistan |
| QID397_143 | ideological_passion | obsessive_passion | Pakistan |
| QID397_144 | ideological_passion | obsessive_passion | Pakistan |
| QID397_145 | ideological_passion | commitment_passion | Pakistan |
| QID397_146 | ideological_passion | commitment_passion | Pakistan |
| QID397_147 | ideological_passion | commitment_passion | Pakistan |
| QID397_148 | ideological_passion | commitment_passion | Pakistan |
| QID401_1 | past_activism | past_activism | Pakistan |
| QID401_34 | past_activism | past_activism | Pakistan |
| QID401_35 | past_activism | past_activism | Pakistan |
| QID401_36 | past_activism | past_activism | Pakistan |
| QID393_1 | activist_intent | activist_intent | Pakistan |
| QID393_126 | activist_intent | activist_intent | Pakistan |
| QID393_127 | activist_intent | activist_intent | Pakistan |
| QID393_128 | activist_intent | activist_intent | Pakistan |
| QID391_1 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_126 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_127 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_128 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_129 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_130 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_131 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_132 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_133 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_134 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID391_135 | perceived_discrimination | perceived_discrimination | Pakistan |
| QID387_142 | identity_fusion | identity_fusion | Pakistan |
| QID387_144 | identity_fusion | identity_fusion | Pakistan |
| QID387_145 | identity_fusion | identity_fusion | Pakistan |
| QID387_146 | identity_fusion | identity_fusion | Pakistan |
| QID387_147 | identity_fusion | identity_fusion | Pakistan |
| QID387_148 | identity_fusion | identity_fusion | Pakistan |
| QID387_149 | identity_fusion | identity_fusion | Pakistan |
| QID389_1 | ingroup_superiority | ingroup_superiority | Pakistan |
| QID389_123 | ingroup_superiority | ingroup_superiority | Pakistan |
| QID389_124 | ingroup_superiority | ingroup_superiority | Pakistan |
| QID389_125 | ingroup_superiority | ingroup_superiority | Pakistan |
| QID395_1 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| QID395_129 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| QID395_130 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| QID395_131 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| QID395_132 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| QID395_133 | collective_relative_deprivation | collective_relative_deprivation | Pakistan |
| identity_fusion_indo_01 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_02 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_03 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_04 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_05 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_06 | identity_fusion | identity_fusion | Indonesia |
| identity_fusion_indo_07 | identity_fusion | identity_fusion | Indonesia |
| ingroup_superiority_indo_01 | ingroup_superiority | ingroup_superiority | Indonesia |
| ingroup_superiority_indo_02 | ingroup_superiority | ingroup_superiority | Indonesia |
| ingroup_superiority_indo_03 | ingroup_superiority | ingroup_superiority | Indonesia |
| ingroup_superiority_indo_04 | ingroup_superiority | ingroup_superiority | Indonesia |
| collective_relative_deprivation_indo_01 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| collective_relative_deprivation_indo_02 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| collective_relative_deprivation_indo_03 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| collective_relative_deprivation_indo_04 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| collective_relative_deprivation_indo_05 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| collective_relative_deprivation_indo_06 | collective_relative_deprivation | collective_relative_deprivation | Indonesia |
| past_activism_indo_01 | past_activism | past_activism | Indonesia |
| past_activism_indo_02 | past_activism | past_activism | Indonesia |
| past_activism_indo_03 | past_activism | past_activism | Indonesia |
| past_activism_indo_04 | past_activism | past_activism | Indonesia |
| perceived_discrimination_indo_01 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_02 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_03 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_04 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_05 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_06 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_07 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_08 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_09 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_10 | perceived_discrimination | perceived_discrimination | Indonesia |
| perceived_discrimination_indo_11 | perceived_discrimination | perceived_discrimination | Indonesia |
| activist_intent_indo_01 | activist_intent | activist_intent | Indonesia |
| activist_intent_indo_02 | activist_intent | activist_intent | Indonesia |
| activist_intent_indo_03 | activist_intent | activist_intent | Indonesia |
| activist_intent_indo_04 | activist_intent | activist_intent | Indonesia |
| intuition_indo_01 | intuition_logic | intuition | Indonesia |
| logic_indo_02 | intuition_logic | logic | Indonesia |
| violent_intents_indo_01 | radical_intentions | violent_intent | Indonesia |
| violent_intents_indo_02 | radical_intentions | violent_intent | Indonesia |
| violent_intents_indo_03 | radical_intentions | violent_intent | Indonesia |
| violent_intents_indo_04 | radical_intentions | violent_intent | Indonesia |
| violent_intents_indo_06 | radical_intentions | violent_intent | Indonesia |
| peaceful_intents_07 | radical_intentions | peaceful_intent | Indonesia |
| peaceful_intents_08 | radical_intentions | peaceful_intent | Indonesia |
| peaceful_intents_09 | radical_intentions | peaceful_intent | Indonesia |
| peaceful_intents_10 | radical_intentions | peaceful_intent | Indonesia |
| peaceful_intents_11 | radical_intentions | peaceful_intent | Indonesia |
| peaceful_intents_12 | radical_intentions | peaceful_intent | Indonesia |
| harmonious_passion_indo_01 | ideological_passion | harmonious_passion | Indonesia |
| obsessive_passion_indo_01 | ideological_passion | obsessive_passion | Indonesia |
| harmonious_passion_indo_02 | ideological_passion | harmonious_passion | Indonesia |
| obsessive_passion_indo_02 | ideological_passion | obsessive_passion | Indonesia |
| harmonious_passion_indo_03 | ideological_passion | harmonious_passion | Indonesia |
| harmonious_passion_indo_04 | ideological_passion | harmonious_passion | Indonesia |
| obsessive_passion_indo_03 | ideological_passion | obsessive_passion | Indonesia |
| harmonious_passion_indo_05 | ideological_passion | harmonious_passion | Indonesia |
| obsessive_passion_indo_04 | ideological_passion | obsessive_passion | Indonesia |
| harmonious_passion_indo_06 | ideological_passion | harmonious_passion | Indonesia |
| obsessive_passion_indo_05 | ideological_passion | obsessive_passion | Indonesia |
| obsessive_passion_indo_06 | ideological_passion | obsessive_passion | Indonesia |
| commitment_passion_indo_01 | ideological_passion | commitment_passion | Indonesia |
| commitment_passion_indo_02 | ideological_passion | commitment_passion | Indonesia |
| commitment_passion_indo_03 | ideological_passion | commitment_passion | Indonesia |
| commitment_passion_indo_04 | ideological_passion | commitment_passion | Indonesia |
| Note: | |||
| Timing variables were removed from the item overview. |
Wrangle functions
Code
# Function to filter and select data for a given subscale
get_subscale_data <- function(df, scale_info, subscale_name) {
# Filter the items based on the subscale_name
items_selected <- scale_info %>%
filter(subscale_name == !!subscale_name)
# Filter out missing items (though usually items should not be NA, it's good practice)
items_selected <- items_selected %>%
filter(!is.na(item))
# Check if all items exist in df and identify any missing or NA items
missing_items <- items_selected %>%
filter(!item %in% names(df))
if (nrow(missing_items) > 0) {
warning(paste("The following items are missing from the data and cannot be extracted:<br>", paste(missing_items$item_identifier, collapse = "<br>")))
# Filter out missing items from the items dataframe
items_selected <- items_selected %>%
filter(item %in% names(df))
}
# Select and convert to numeric, handling non-numeric columns
subscale_data <- df %>% select(all_of(items_selected$item)) %>% mutate(across(everything(), ~ as.numeric(as.character(.))))
# Check whether items are completely NA
full_missing_items <- names(subscale_data)[apply(subscale_data, 2, function(x) all(is.na(x)))]
if (length(full_missing_items) > 0) {
# update the selected subscale items
items_out <- items_selected %>% filter(item %in% full_missing_items)
items_selected <- items_selected %>% filter(!item %in% full_missing_items)
warning("The following items have only missing values and will be excluded:<br>")
for (item in full_missing_items) {
item_identifier <- items_out %>% filter(item == !!item) %>% pull(item_identifier)
print(paste("Item Identifier:", item_identifier))
print(table(dt_raw[[item]], useNA = "ifany"))
cat("<br>")
}
subscale_data <- subscale_data %>% select(-all_of(full_missing_items))
}
# Check for items with no variance
no_variance_items <- names(subscale_data)[apply(subscale_data, 2, function(x) var(x, na.rm = TRUE) == 0)]
no_variance_items <- no_variance_items[!is.na(no_variance_items)]
if (length(no_variance_items) > 0) {
items_out <- items_selected %>% filter(item %in% no_variance_items)
items_selected <- items_selected # we are not dropping the items anymore
warning("The following items have no variance. Highly unlikely! Please double check:<br>")
for (item in no_variance_items) {
item_identifier <- items_out %>% filter(item == !!item) %>% pull(item_identifier)
print(paste("Item Identifier:", item_identifier))
print(table(dt_raw[[item]], useNA = "ifany"))
cat("<br>")
}
}
# save the response_id as well; important for later
subscale_data$response_id <- df$response_id
subscale_data$country_recorded <- df$country_clean
subscale_info <- list(
subscale_data = subscale_data,
subscale_items = items_selected
)
return(subscale_info)
}
combine_subscale_data <- function(subscale_items, subscale_data) {
fill_up_subscale_data <- subscale_data %>%
select(
response_id,
country_recorded
)
tmp_subscale_data <- subscale_data %>%
select(response_id, everything(), -country_recorded)
cat("Identify countries per participant....<br>")
# Create a mapping from items to countries
item_to_country <- setNames(subscale_items$country_extracted, subscale_items$item)
# Identify relevant item columns in the data
item_cols <- intersect(colnames(tmp_subscale_data), names(item_to_country))
# Determine the country for each row
already_printed_country <- c()
tmp_subscale_data$country_extracted <- apply(tmp_subscale_data[, item_cols], 1, function(row) {
# Identify non-missing items in the current row
non_na_indices <- which(!is.na(row))
if (length(non_na_indices) == 0) {
# If all items are missing, assign NA
return(NA_character_)
}
# Retrieve the names of non-missing items
items_in_row <- item_cols[non_na_indices]
# Map these items to their corresponding countries
countries_in_row <- item_to_country[items_in_row]
# Identify unique countries associated with the non-missing items
unique_countries <- unique(countries_in_row)
if (length(unique_countries) == 1) {
# If all non-missing items correspond to the same country, assign that country
return(unique_countries[1])
} else {
# If multiple countries are identified, label as 'multiple_countries_identified'
# Check if this combination of countries has already been printed
unique_countries_str <- paste(sort(unique_countries), collapse = ", ")
if (!unique_countries_str %in% already_printed_country) {
warning(paste("Multiple countries identified. Please check the subscale....<br>", unique_countries_str))
already_printed_country <<- c(already_printed_country, unique_countries_str) # Store the printed combination globally
}
return("multiple_countries_identified")
}
})
rm(already_printed_country)
# Merge the identified country back into the original dataframe by response_id
fill_up_subscale_data <- fill_up_subscale_data %>%
left_join(tmp_subscale_data %>% select(response_id, country_extracted), by = "response_id")
# Display message upon completion
cat("Completed the country identification process.<br>")
# Check for problematic entries as the recorded and extracted columns should overlap
mismatches_country <- fill_up_subscale_data %>%
filter(
(country_recorded != country_extracted | is.na(country_extracted)) &
!(country_extracted == "general") &
!(
country_recorded == "US" &
(startsWith(country_extracted, "US Republicans") | startsWith(country_extracted, "US Democrats"))
)
)
unique_mismatches_country <- mismatches_country %>%
distinct(country_recorded, country_extracted)
unique_mismatches_country <- unique_mismatches_country %>%
mutate(
warning_message = case_when(
is.na(country_extracted) ~ paste("Unable to extract a country for recorded country:", country_recorded, "<br>"),
country_extracted == "multiple_entries_identified" ~ paste("Multiple entries identified for recorded country:", country_recorded, "<br>"),
TRUE ~ paste("Mismatch detected: Recorded:", country_recorded, "- Extracted:", country_extracted, "<br>")
)
)
purrr::walk(unique_mismatches_country$warning_message, warning)
# Collapsing across columns
cat("Starting the column collapsing process....<br>")
# we first rename the columns
names(subscale_data) <- c(subscale_items$item_number, "response_id", "country_recorded")
# Extract the trailing numbers from the column names
col_groups <- sub(".*_(\\d+)$", "\\1", names(subscale_data))
col_groups <- col_groups[!is.na(col_groups)]
col_groups <- col_groups[col_groups != "response_id"]
col_groups <- col_groups[col_groups != "country_recorded"]
# Initialize a flag for overwrites
overwrite_flag <- FALSE
# Loop over unique trailing numbers
for (group in unique(col_groups)) {
# Select columns that belong to the current group
cols_to_collapse <- subscale_data %>% select(response_id, ends_with(paste0("_", group)))
# Check for overwriting by summing the number of non-NA values across rows
num_non_na <- rowSums(!is.na(cols_to_collapse[-1])) # Exclude response_id from the summation
# Initialize a set to track previously printed overlapping columns
previously_printed <- list()
if (any(num_non_na > 1)) {
overwrite_flag <- TRUE
# Identify the rows with overlaps
overlap_rows <- which(num_non_na > 1)
# For each row with overlap, print the row index and the columns involved
for (row in overlap_rows) {
overlapping_cols <- names(cols_to_collapse)[!is.na(cols_to_collapse[row, -1])] # Exclude response_id
# Create a named vector to map items to their identifiers
item_map <- setNames(subscale_items$item_identifier, subscale_items$item)
# Replace the strings in overlapping_cols with the corresponding item_identifier
overlapping_cols_names <- item_map[overlapping_cols]
# Convert the overlapping columns to a string to use as a unique identifier
overlapping_cols_str <- paste(sort(overlapping_cols_names), collapse = " and ")
# Check if this combination of overlapping columns has already been printed
if (!(overlapping_cols_str %in% previously_printed)) {
warning(paste("Overwriting detected in group", group,
"at row", row,
"with overlapping columns:",
overlapping_cols_str, "<br>"))
# Add the combination to the set of previously printed overlaps
previously_printed <- c(previously_printed, overlapping_cols_str)
}
}
}
# Collapse the columns by taking the first non-NA value
collapsed_col <- apply(cols_to_collapse[-1], 1, function(x) x[!is.na(x)][1]) # Exclude response_id
# Add the collapsed column to the list with a new name
collapsed_cols <- tibble(
response_id = cols_to_collapse$response_id,
!!sym(paste0(unique(subscale_items$subscale_name), "_", group)) := collapsed_col
)
# should be the safest approach to kepp row integrity because we are merging back to response_id
fill_up_subscale_data <- fill_up_subscale_data %>%
left_join(collapsed_cols, by = "response_id")
}
# Display message upon completion
cat("Completed the column collapsing process.<br>")
return(fill_up_subscale_data)
}
# Function to calculate Cronbach's alpha
calculate_cronbach_alpha <- function(df) {
cat("Calculating Cronbach's alpha....<br>.")
if (ncol(df) < 2) {
warning("Cronbach's alpha cannot be calculated on single item....<br>")
return(NULL)
}
alpha <- tryCatch({
ltm::cronbach.alpha(na.omit(df), CI = TRUE)
}, error = function(e) {
warning("Error calculating Cronbach's alpha: ", e$message, "<br>")
return(NULL)
})
if (!is.null(alpha)) {
cat("Cronbach's alpha succesfully calculated....<br>")
return(alpha)
}
}
# Function to calculate scale scores
calculate_scale_scores <- function(df, group_variable, subscale_name) {
# Extract the most common minimum and maximum across all columns
min_values <- sapply(df, min, na.rm = TRUE)
max_values <- sapply(df, max, na.rm = TRUE)
most_common_min <- as.numeric(names(sort(table(min_values), decreasing = TRUE)[1]))
most_common_max <- as.numeric(names(sort(table(max_values), decreasing = TRUE)[1]))
if (ncol(df) == 1) {
cat("Only one item so no need to calculate scale or Cronbach....<br>")
scale_raw <- df
scale_cronbach <- NULL
} else {
cat("Calculating scale....<br>")
# first cronbach's alpha
scale_cronbach <- calculate_cronbach_alpha(df)
# calculate scale
keys <- rep(1, ncol(df))
scale_raw <- as.numeric(
scoreItems(
keys = keys,
items = df,
min = most_common_min,
max = most_common_max
)$scores)
}
# return scale and stats
scale_info <- list(
scale_raw = scale_raw,
scale_cronbach = scale_cronbach
)
return(scale_info)
}Check functions
Code
check_subscale_info_data <- function(subscale_items) {
cat("Checking whether countries have the same number of items....<br>")
# check whether same number across countries
check_number <- subscale_items %>%
group_by(
country_extracted
) %>%
summarise(
n = n()
)
# Find the most frequent value in column 'n'
most_frequent_n <- as.numeric(names(sort(table(check_number$n), decreasing = TRUE)[1]))
# Find countries with different values than the most frequent
differing_values <- check_number[check_number$n != most_frequent_n, ]
# Check if there are any differing values
if (nrow(differing_values) > 0) {
message <- "The following countries have a different number of items:<br> "
for (i in 1:nrow(differing_values)) {
message <- paste0(message, "Instead of ", most_frequent_n, " ", differing_values$country_extracted[i], " has ", differing_values$n[i])
if (i < nrow(differing_values)) {
message <- paste0(message, " and ")
}
}
warning(message, "<br>")
} else {
cat("All countries have the same number of items.<br>")
}
summarized_info_data = list(
most_frequent_n = most_frequent_n
)
return(summarized_info_data)
}
# for testing
# subscale_items = subscale_info$subscale_items
# subscale_data = subscale_data_red
check_subscale_data <- function(subscale_items, subscale_data) {
summarized_info_data = check_subscale_info_data(subscale_items)
# check whether there is not more entries per participant than expect
cat("Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries....<br>")
expected_count <- summarized_info_data$most_frequent_n # replace this with your expected value
# Count non-missing entries per row
non_missing_counts <- rowSums(!is.na(subscale_data))
# Initialize a list to store item_identifiers for rows with too many entries
too_many_entries_identifiers <- list()
# Iterate through rows to check if the number of non-missing entries exceeds the expected value
for (i in seq_len(nrow(subscale_data))) {
if (non_missing_counts[i] > expected_count) {
# Identify columns with non-missing entries
columns_with_entries <- colnames(subscale_data)[!is.na(subscale_data[i, ])]
# Match the column names with the item column in subscale_data to get the item_identifiers
matching_identifiers <- subscale_items$item_identifier[match(columns_with_entries, subscale_items$item)]
# Save the matching identifiers
too_many_entries_identifiers[[length(too_many_entries_identifiers) + 1]] <- matching_identifiers
}
}
# Get unique combinations of item_identifiers
unique_too_many_entries_combinations <- unique(too_many_entries_identifiers)
# Print unique combinations of item_identifiers
if (length(unique_too_many_entries_combinations) != 0) {
message <- "The following items have participants with too many responses: "
for (i in length(unique_too_many_entries_combinations)) {
message <- paste0(message, "Instead of ", expected_count, ", they have more: ", unique_too_many_entries_combinations[i])
if (i < length(unique_too_many_entries_combinations)) {
message <- paste0(message, " and ")
}
}
warning(message, "<br>")
} else {
cat("No participant has too many responses....<br>")
}
# check whether min and max are as expected
# REFAVOR THIS INTO SCALE INFO MIN MAX (WHERE THEY MEASURED ON THE SAME SCALE!)
cat("Checking whether minimum and maximum across countries are the same. Not necessarily a problem....<br>")
# Extract the most common minimum and maximum across all columns
min_values <- sapply(subscale_data, min, na.rm = TRUE)
max_values <- sapply(subscale_data, max, na.rm = TRUE)
most_common_min <- as.numeric(names(sort(table(min_values), decreasing = TRUE)[1]))
most_common_max <- as.numeric(names(sort(table(max_values), decreasing = TRUE)[1]))
# Check if each column has that minimum and maximum
prob_min_max <- FALSE
warnings_list <- list()
# create warning list
for (col in names(subscale_data)) {
col_min <- min(subscale_data[[col]], na.rm = TRUE)
col_max <- max(subscale_data[[col]], na.rm = TRUE)
if (!(col %in% subscale_items$item)) {
warning(col, "does not appear in the subscale items list. Please check why!<br>")
}
col_name <- subscale_items %>%
filter(item %in% col) %>%
pull(item_identifier)
if (col_min != most_common_min) {
warnings_list <- c(warnings_list, paste0("Item ", col_name, " not common min (", most_common_min, ") value.<br>"))
prob_min_max <- TRUE
}
if (col_max != most_common_max) {
warnings_list <- c(warnings_list, paste0("Item ", col_name, " not common max (", most_common_max, ") value.<br>"))
prob_min_max <- TRUE
}
}
# print warning list
if (prob_min_max) {
cat(paste(warnings_list, collapse = ""))
} else {
cat("Minimum and maximum as expected....<br>")
}
}Clean country
Recoding the country variable so that it corresponds to the actual sample. The table below illustrates the old coded_country and the new one (based on which items people answered.)
Code
# 1) make a named list of the item‐columns for each country
country_map <- split(scale_info$item, scale_info$country_extracted)
country_names <- names(country_map)
# 2) build a matrix (rows = respondents, cols = countries) of "how many non‐NAs"
counts_mat <- sapply(country_names, function(ct) {
# dt_clean[ , country_map[[ct]]] extracts the block of columns for ‘ct’
rowSums(!is.na(dt_clean[ , country_map[[ct]], drop = FALSE]))
})
# 3) for each respondent, pick the country with the highest count
# (ties go to the first one in country_names)
detected <- country_names[max.col(counts_mat, ties.method = "first")]
max_count <- apply(counts_mat, 1, max)
# 4) attach back to dt_clean and do your fallback
dt_clean <- dt_clean %>%
mutate(
detected = detected,
max_count = max_count,
country_clean = case_when(
# no scale‐data at all → fall back on C
max_count == 0 & C == "UK" ~ "United Kingdom",
max_count == 0 & C == "CzechRepublic" ~ "Czech",
max_count == 0 & C == "SaudiArabia" ~ "Saudi Arabia",
max_count == 0 ~ as.character(C),
# otherwise use what we detected
TRUE ~ detected
)
) %>%
select(-detected, -max_count)
# 5) summary table: original C → cleaned country
dt_clean %>%
count(original = C, cleaned = country_clean) %>%
pivot_wider(
names_from = cleaned,
values_from = n,
values_fill = 0
) %>%
kable(., caption = "The following countries got extracted from scale_info") %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down")) %>%
scroll_box(width = "100%", height = "600px")| original | Algeria | Argentina | Australia | Austria | Brazil | Canada | Colombia | Czech | Denmark | Egypt | Finland | France | Germany | Greece | Hungary | India | Indonesia | Israel | Italy | Jordan | Kuwait | Lebanon | Malaysia | Mexico | Morocco | Netherlands | Nigeria | Norway | Pakistan | Philippines | Poland | Portugal | Romania | Saudi Arabia | Spain | Sweden | Thailand | Tunisia | Turkey | United Kingdom | US Democrats | US Republicans |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Algeria | 252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Argentina | 0 | 260 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Australia | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austria | 0 | 0 | 0 | 244 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Brazil | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Canada | 0 | 0 | 0 | 0 | 0 | 241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| CzechRepublic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Denmark | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Finland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| France | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germany | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| India | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indonesia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Israel | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jordan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kuwait | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malaysia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Norway | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Poland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Portugal | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Romania | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| SaudiArabia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Spain | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sweden | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0 | 0 | 0 | 0 | 0 | 0 |
| Thailand | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0 | 0 | 0 | 0 | 0 |
| Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0 | 0 | 0 | 0 |
| Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0 | 0 | 0 |
| UK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 0 |
| US | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 259 |
Run function
Code
# we need to clean the country scale before adding it to the function for the check
# dt_clean <- dt_clean %>%
# mutate(
# country_clean = case_when(
# C == "UK" ~ "United Kingdom",
# C == "CzechRepublic" ~ "Czech",
# C == "SaudiArabia" ~ "Saudi Arabia",
# TRUE ~ C
# )
# )
# for testing; make sure to run the country_clean below as wells
# subscale_name <- "perceived_discrimination"
# subscale_name <- "past_activism"
# df <- dt_clean
# Main function to process each subscale
process_subscale <- function(df, scale_info, subscale_name) {
cat(paste0("<br><b>Processing subscale: ", subscale_name, "</b><br>"))
subscale_info <- get_subscale_data(df, scale_info, subscale_name)
# we check whether the extracted subscales have cross-country issues in the info structure
subscale_data_red <- subscale_info$subscale_data %>%
select(-response_id, -starts_with("country"))
check_subscale_data(subscale_info$subscale_items, subscale_data_red)
# combine subscale data
subscale_info$subscale_data_combined <- combine_subscale_data(subscale_info$subscale_items, subscale_info$subscale_data)
# make dataframe
subscale_data_combined_red <- subscale_info$subscale_data_combined %>%
select(-response_id, -starts_with("country"))
# Scale scores
subscale_info$scale_info <- calculate_scale_scores(
subscale_data_combined_red,
subscale_info$subscale_data_combined$country_recorded,
subscale_name
)
# Return the updated dataframe and reliability info
return(subscale_info)
}Prep subscales
single items
Code
# initiate list (also important for the actual scales)
results_subscale <- list()
# age
results_subscale[["age"]]$scale_scores <- as.numeric(dt_clean$QID18_TEXT)
# gender
tmp <- as.numeric(dplyr::recode(dt_clean$QID20, "Female" = 0, "Male" = 1, "other" = 2))
results_subscale[["gender"]]$scale_scores <- factor(tmp, levels = c(0, 1, 2), labels = c("Female", "Male", "Other")); rm(tmp)
# religion (other recoded as not enough entries on them)
tmp <- as.numeric(dplyr::recode(
dt_clean$QID19, "No religion" = 0, "Christian" = 1, "Muslims" = 2, "Buddhist" = 3, "Jewish" = 4, "Hindu" = 5, "Sikh" = 5, "Other, please specify" = 5)
)
results_subscale[["religion"]]$scale_scores <- factor(
tmp,
levels = c(0, 1, 2, 3, 4, 5),
labels = c("No_religion", "Christian", "Muslim", "Buddhist", "Jewish", "Other")
); rm(tmp)
# education
tmp <- as.numeric(dplyr::recode(
dt_clean$QID99, "Primary education" = 0, "General secondary education" = 1, "Vocational education" = 2, "Bachelors degree" = 3, "Higher education" = 4, "Masters degree" = 5, "PhD degree" = 6)
)
results_subscale[["education"]]$scale_scores <- factor(
tmp,
levels = c(0, 1, 2, 3, 4, 5, 6),
labels = c("Primary", "Secondary", "Vocational", "Bachelor", "Higher", "Master", "PhD")
); rm(tmp)
# political_party_choice
cat("Political party choice still needs to be implemented.<br>")Political party choice still needs to be implemented.
scales
Code
# Example usage with your specific data
# Assuming dt_clean and scale_info are already loaded
# Apply process_subscale function to each subscale
unique_subscales <- unique(scale_info$subscale_name)
# Filter out unimportant scales
excluded_subscales <- c(
"unknown",
"age",
"gender",
"religion",
"education",
"political_party_choice",
"timing",
"ideological_passion", # erroneously added empty question
"intuition_logic", # erroneously added empty question
"radical_intentions" # dropped item
)
unique_subscales <- unique_subscales[!unique_subscales %in% excluded_subscales]
# Process each subscale and store results in a list
for (subscale in unique_subscales) {
results_subscale[[subscale]] <- process_subscale(dt_clean, scale_info, subscale)
}
Processing subscale: violent_intent
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Mexico-radical_intentions-violent_intent-QID828_25 not common max (8) value.
Item Mexico-radical_intentions-violent_intent-QID828_26 not common max (8) value.
Item Mexico-radical_intentions-violent_intent-QID828_27 not common max (8) value.
Item Argentina-radical_intentions-violent_intent-QID824_1 not common max (8) value.
Item Argentina-radical_intentions-violent_intent-QID824_25 not common max (8) value.
Item Argentina-radical_intentions-violent_intent-QID824_26 not common max (8) value.
Item Colombia-radical_intentions-violent_intent-QID826_25 not common max (8) value.
Item Indonesia-radical_intentions-violent_intent-violent_intents_indo_01 not common max (8) value.
Item Indonesia-radical_intentions-violent_intent-violent_intents_indo_02 not common max (8) value.
Item Indonesia-radical_intentions-violent_intent-violent_intents_indo_03 not common max (8) value.
Item Indonesia-radical_intentions-violent_intent-violent_intents_indo_06 not common max (8) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: peaceful_intent
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Brazil-radical_intentions-peaceful_intent-QID209_33 not common max (8) value.
Item Brazil-radical_intentions-peaceful_intent-QID209_35 not common max (8) value.
Item Argentina-radical_intentions-peaceful_intent-QID824_32 not common max (8) value.
Item Argentina-radical_intentions-peaceful_intent-QID824_33 not common max (8) value.
Item Spain-radical_intentions-peaceful_intent-QID830_34 not common max (8) value.
Item Indonesia-radical_intentions-peaceful_intent-peaceful_intents_09 not common max (8) value.
Item Indonesia-radical_intentions-peaceful_intent-peaceful_intents_10 not common min (1) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: past_activism
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: intuition
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Only one item so no need to calculate scale or Cronbach….
Processing subscale: logic
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Only one item so no need to calculate scale or Cronbach….
Processing subscale: harmonious_passion
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Malaysia-ideological_passion-harmonious_passion-QID361_123 not common min (1) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: obsessive_passion
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Portugal-ideological_passion-obsessive_passion-QID226_58 not common max (7) value.
Item Indonesia-ideological_passion-obsessive_passion-obsessive_passion_indo_05 not common max (7) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: commitment_passion
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Malaysia-ideological_passion-commitment_passion-QID361_134 not common min (1) value.
Item Nigeria-ideological_passion-commitment_passion-QID700_70 not common min (1) value.
Item Nigeria-ideological_passion-commitment_passion-QID700_71 not common min (1) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: identity_fusion
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: ingroup_superiority
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: collective_relative_deprivation
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Indonesia-collective_relative_deprivation-collective_relative_deprivation-collective_relative_deprivation_indo_01 not common min (1) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: perceived_discrimination
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Item Portugal-perceived_discrimination-perceived_discrimination-QID220_24 not common max (6) value.
Item Portugal-perceived_discrimination-perceived_discrimination-QID220_25 not common max (6) value.
Item Portugal-perceived_discrimination-perceived_discrimination-QID220_27 not common max (6) value.
Item Egypt-perceived_discrimination-perceived_discrimination-QID624_25 not common max (6) value.
Item Egypt-perceived_discrimination-perceived_discrimination-QID624_29 not common max (6) value.
Item Egypt-perceived_discrimination-perceived_discrimination-QID624_30 not common max (6) value.
Item Jordan-perceived_discrimination-perceived_discrimination-QID626_29 not common max (6) value.
Item Tunisia-perceived_discrimination-perceived_discrimination-QID642_24 not common max (6) value.
Item Tunisia-perceived_discrimination-perceived_discrimination-QID642_25 not common max (6) value.
Item Tunisia-perceived_discrimination-perceived_discrimination-QID642_26 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_01 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_02 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_03 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_04 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_05 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_06 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_07 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_08 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_09 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_10 not common max (6) value.
Item Indonesia-perceived_discrimination-perceived_discrimination-perceived_discrimination_indo_11 not common max (6) value.
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: activist_intent
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: moral_neutralization
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: radical_attitudes
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: anger
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: positive_affect
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Processing subscale: negative_affect
Checking whether countries have the same number of items….
All countries have the same number of items.
Checking whether there are too many entries per participant. If different, some participants saw items meant for other countries….
No participant has too many responses….
Checking whether minimum and maximum across countries are the same. Not necessarily a problem….
Minimum and maximum as expected….
Identify countries per participant….
Completed the country identification process.
Starting the column collapsing process….
Completed the column collapsing process.
Calculating scale….
Calculating Cronbach’s alpha….
.Cronbach’s alpha succesfully calculated….
Code
# Check the structure of results_subscale for "moral_neutralization"
# str(results_subscale[["perceived_discrimination"]])
# Inspect results_subscale for a specific subscale
inspect_subscale <- function(subscale_name) {
result <- results_subscale[[subscale_name]]
if (is.null(result) || is.null(result$cronbach_alpha)) {
warning(paste("No results_subscale found for subscale:", subscale_name))
return(NULL)
}
print(result$cronbach_alpha)
# scale_data <- data.frame(scale_scores = result$scale_scores)
first_column_name <- names(scale_data)[1]
ggplot(data = scale_data, aes_string(x = first_column_name)) +
geom_histogram(binwidth = 1) +
ggtitle(paste("Histogram of", subscale_name)) +
theme_minimal()
}
# Example: Inspect results_subscale for a specific subscale
# inspect_subscale("perceived_discrimination")Dataframes
Items df
Code
# these ones do not have subscale items
dt_items <- tibble(
response_id = as.character(dt_clean$response_id),
age = results_subscale$age$scale_scores,
gender = results_subscale$gender$scale_scores,
education = results_subscale$education$scale_scores,
religion = results_subscale$religion$scale_scores,
country = dt_clean$country_clean, # should probably be moved out of scale collapse script
intuition = as.numeric(results_subscale$intuition$scale_info$scale_raw$intuition_1),
logic = as.numeric(results_subscale$logic$scale_info$scale_raw$logic_2)
)
# for testing if needed
# subscale_name = "violent_intent"
# Loop through each element in the results_subscale list
for (subscale_name in names(results_subscale)) {
# Check if subscale_data_combined exists in the subscale
if ("subscale_data_combined" %in% names(results_subscale[[subscale_name]])) {
cat(paste("Joining", subscale_name, "to the individual items dataframe....<br>"))
# Extract the subscale_data_combined data frame
subscale_df <- results_subscale[[subscale_name]]$subscale_data_combined
# mutate_all(as.numeric)
# Drop the 'country' column
subscale_df <- subscale_df %>%
select(-starts_with("country")) %>%
mutate(across(starts_with(subscale_name), as.numeric))
# Perform a left join with dt_items on the response_id column
dt_items <- dt_items %>%
left_join(subscale_df, by = "response_id")
}
}Joining violent_intent to the individual items dataframe….
Joining peaceful_intent to the individual items dataframe….
Joining past_activism to the individual items dataframe….
Joining intuition to the individual items dataframe….
Joining logic to the individual items dataframe….
Joining harmonious_passion to the individual items dataframe….
Joining obsessive_passion to the individual items dataframe….
Joining commitment_passion to the individual items dataframe….
Joining identity_fusion to the individual items dataframe….
Joining ingroup_superiority to the individual items dataframe….
Joining collective_relative_deprivation to the individual items dataframe….
Joining perceived_discrimination to the individual items dataframe….
Joining activist_intent to the individual items dataframe….
Joining moral_neutralization to the individual items dataframe….
Joining radical_attitudes to the individual items dataframe….
Joining anger to the individual items dataframe….
Joining positive_affect to the individual items dataframe….
Joining negative_affect to the individual items dataframe….
add jihadist
The result_sanity$summary data frame provides a column-by-column check
for all variables with the same name in both data frames.
Columns:
-
column: name of the shared variable
-
type_df1 / type_df2: detected data type in each data frame
-
n_df1 / n_df2: number of rows in each column
-
na_rate_df1 / na_rate_df2: proportion of missing values
-
ks_p: p-value from Kolmogorov–Smirnov test (numeric/date)
-
range_overlap: fraction of overlapping value ranges (numeric/date)
-
max_qdiff_norm: maximum normalized quantile difference (numeric/date)
-
jaccard_levels: Jaccard overlap of unique levels (categorical)
-
chisq_p: p-value from chi-squared test on distributions (categorical)
-
logical_gap: absolute difference in proportions of TRUE (logical)
-
verdict:
"similar_enough"or"probably_not_same"
- note: short explanation of the metrics used
Usage:
This table helps identify whether same-named columns in the two data frames
most likely represent the same underlying item. Columns flagged as"probably_not_same" should be inspected carefully before rbinding.
— rbind sanity check: dt_items vs dt_items_jih — Shared columns: 49
⛔ Hard fails:
- age
- country
- response_id
⚠️ Probably different items:
- education
- gender
- religion
❓ Insufficient data:
- intuition_1
- logic_2
✅ Similar enough:
- anger_1
- anger_10
- anger_3
- anger_9
- collective_relative_deprivation_4
- commitment_passion_15
- commitment_passion_16
- harmonious_passion_10
- harmonious_passion_5
- ingroup_superiority_2
- ingroup_superiority_4
- moral_neutralization_10
- moral_neutralization_11
- moral_neutralization_13
- moral_neutralization_14
- moral_neutralization_15
- moral_neutralization_16
- moral_neutralization_4
- moral_neutralization_6
- negative_affect_10
- negative_affect_6
- negative_affect_7
- negative_affect_8
- negative_affect_9
- obsessive_passion_11
- obsessive_passion_7
- past_activism_2
- past_activism_4
- peaceful_intent_11
- peaceful_intent_9
- perceived_discrimination_7
- perceived_discrimination_8
- positive_affect_1
- positive_affect_2
- positive_affect_3
- positive_affect_4
- positive_affect_5
- radical_attitudes_2
- radical_attitudes_3
- violent_intent_1
- violent_intent_6
Code
| column | type_df1 | type_df2 | n_df1 | n_df2 | na_rate_df1 | na_rate_df2 | min_equal | max_equal | range_overlap | trimmed_overlap | hellinger | ks_equaln_reject | max_qdiff_norm | jaccard_levels | chisq_p | logical_gap | hard_fail | hard_fail_reason | verdict | note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| age | numeric | numeric | 10422 | 80 | 0.000 | 0.025 | FALSE | FALSE | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | numeric min/max mismatch: [18,112] vs [20,63] (tol=0) | hard_fail | min/max differ |
| country | character | character | 10422 | 80 | 0.000 | 0.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | categorical new levels in dt_items_jih not in dt_items: Jihadist | hard_fail | new levels present in df2 |
| response_id | character | character | 10422 | 80 | 0.000 | 0.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | categorical new levels in dt_items_jih not in dt_items: 2020007970, 2020007408, 2009037529, 2018012441, 2015000958, 9835504361, 2017006286, 2021009230, 2006003109, 2004003886 | hard_fail | new levels present in df2 |
| intuition_1 | numeric | numeric | 10422 | 80 | 0.000 | 1.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | FALSE | NA | insufficient_data | numeric: no finite values in one or both data sets |
| logic_2 | numeric | numeric | 10422 | 80 | 0.000 | 1.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | FALSE | NA | insufficient_data | numeric: no finite values in one or both data sets |
| education | character | character | 10422 | 80 | 0.000 | 0.075 | NA | NA | NA | NA | NA | NA | NA | 0.4285714 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.43; chisq_p=0.000; levels: 7 vs 3 |
| gender | character | character | 10422 | 80 | 0.000 | 0.000 | NA | NA | NA | NA | NA | NA | NA | 0.3333333 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.33; chisq_p=0.000; levels: 3 vs 1 |
| religion | character | character | 10422 | 80 | 0.000 | 0.000 | NA | NA | NA | NA | NA | NA | NA | 0.1666667 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.17; chisq_p=0.000; levels: 6 vs 1 |
| anger_1 | numeric | numeric | 10422 | 80 | 0.001 | 0.075 | TRUE | TRUE | 1 | 1.0000000 | 0.9808659 | 0.960 | 0.2333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.98; KS_reject=0.96; max_qdiff_norm=0.23 [Likert-aware] |
| anger_10 | numeric | numeric | 10422 | 80 | 0.002 | 0.100 | TRUE | TRUE | 1 | 0.8000000 | 0.9050705 | 0.995 | 0.3083333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.80; H=0.91; KS_reject=0.99; max_qdiff_norm=0.31 [Likert-aware] |
| anger_3 | numeric | numeric | 10422 | 80 | 0.002 | 0.062 | TRUE | TRUE | 1 | 1.0000000 | 0.9049097 | 0.970 | 0.2333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.90; KS_reject=0.97; max_qdiff_norm=0.23 [Likert-aware] |
| anger_9 | numeric | numeric | 10422 | 80 | 0.002 | 0.062 | TRUE | TRUE | 1 | 0.8000000 | 0.8448815 | 1.000 | 0.6000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.80; H=0.84; KS_reject=1.00; max_qdiff_norm=0.60 [Likert-aware] |
| collective_relative_deprivation_4 | numeric | numeric | 10422 | 80 | 0.000 | 0.125 | TRUE | TRUE | 1 | 1.0000000 | 0.2121653 | 0.140 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.21; KS_reject=0.14; max_qdiff_norm=0.17 [Likert-aware] |
| commitment_passion_15 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 1.0000000 | 0.2976553 | 0.520 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.30; KS_reject=0.52; max_qdiff_norm=0.17 [Likert-aware] |
| commitment_passion_16 | numeric | numeric | 10422 | 80 | 0.001 | 0.150 | TRUE | TRUE | 1 | 1.0000000 | 0.2507456 | 0.280 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.25; KS_reject=0.28; max_qdiff_norm=0.17 [Likert-aware] |
| harmonious_passion_10 | numeric | numeric | 10422 | 80 | 0.000 | 0.150 | TRUE | TRUE | 1 | 1.0000000 | 0.4256429 | 0.565 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.43; KS_reject=0.56; max_qdiff_norm=0.33 [Likert-aware] |
| harmonious_passion_5 | numeric | numeric | 10422 | 80 | 0.000 | 0.150 | TRUE | TRUE | 1 | 1.0000000 | 0.3115771 | 0.600 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.31; KS_reject=0.60; max_qdiff_norm=0.33 [Likert-aware] |
| ingroup_superiority_2 | numeric | numeric | 10422 | 80 | 0.000 | 0.200 | TRUE | TRUE | 1 | 1.0000000 | 0.4320909 | 0.995 | 0.5000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.43; KS_reject=0.99; max_qdiff_norm=0.50 [Likert-aware] |
| ingroup_superiority_4 | numeric | numeric | 10422 | 80 | 0.000 | 0.162 | TRUE | TRUE | 1 | 1.0000000 | 0.4936518 | 0.995 | 0.6666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.49; KS_reject=0.99; max_qdiff_norm=0.67 [Likert-aware] |
| moral_neutralization_10 | numeric | numeric | 10422 | 80 | 0.002 | 0.100 | TRUE | TRUE | 1 | 0.8333333 | 0.2379671 | 0.160 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.83; H=0.24; KS_reject=0.16; max_qdiff_norm=0.17 [Likert-aware] |
| moral_neutralization_11 | numeric | numeric | 10422 | 80 | 0.003 | 0.088 | TRUE | TRUE | 1 | 0.8333333 | 0.1536016 | 0.075 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.83; H=0.15; KS_reject=0.07; max_qdiff_norm=0.17 [Likert-aware] |
| moral_neutralization_13 | numeric | numeric | 10422 | 80 | 0.003 | 0.112 | TRUE | TRUE | 1 | 0.6666667 | 0.3177573 | 0.360 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.67; H=0.32; KS_reject=0.36; max_qdiff_norm=0.33 [Likert-aware] |
| moral_neutralization_14 | numeric | numeric | 10422 | 80 | 0.003 | 0.100 | TRUE | TRUE | 1 | 0.6900000 | 0.3119899 | 0.800 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.69; H=0.31; KS_reject=0.80; max_qdiff_norm=0.33 [Likert-aware] |
| moral_neutralization_15 | numeric | numeric | 10422 | 80 | 0.004 | 0.088 | TRUE | TRUE | 1 | 0.9500000 | 0.3017906 | 0.220 | 0.1666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.95; H=0.30; KS_reject=0.22; max_qdiff_norm=0.17 [Likert-aware] |
| moral_neutralization_16 | numeric | numeric | 10422 | 80 | 0.003 | 0.088 | TRUE | TRUE | 1 | 0.0800000 | 0.4359761 | 1.000 | 0.7666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.08; H=0.44; KS_reject=1.00; max_qdiff_norm=0.77 [Likert-aware] |
| moral_neutralization_4 | numeric | numeric | 10422 | 80 | 0.002 | 0.112 | TRUE | TRUE | 1 | 0.7500000 | 0.3094165 | 0.700 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=0.31; KS_reject=0.70; max_qdiff_norm=0.33 [Likert-aware] |
| moral_neutralization_6 | numeric | numeric | 10422 | 80 | 0.003 | 0.088 | TRUE | TRUE | 1 | 1.0000000 | 0.3366759 | 0.940 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.34; KS_reject=0.94; max_qdiff_norm=0.33 [Likert-aware] |
| negative_affect_10 | numeric | numeric | 10422 | 80 | 0.000 | 0.100 | TRUE | TRUE | 1 | 0.7500000 | 0.8568007 | 0.490 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=0.86; KS_reject=0.49; max_qdiff_norm=0.25 [Likert-aware] |
| negative_affect_6 | numeric | numeric | 10422 | 80 | 0.000 | 0.100 | TRUE | TRUE | 1 | 1.0000000 | 1.0264044 | 0.850 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=1.03; KS_reject=0.85; max_qdiff_norm=0.25 [Likert-aware] |
| negative_affect_7 | numeric | numeric | 10422 | 80 | 0.000 | 0.062 | TRUE | TRUE | 1 | 1.0000000 | 1.0685410 | 0.880 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=1.07; KS_reject=0.88; max_qdiff_norm=0.25 [Likert-aware] |
| negative_affect_8 | numeric | numeric | 10422 | 80 | 0.000 | 0.075 | TRUE | TRUE | 1 | 1.0000000 | 0.9623875 | 0.765 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.96; KS_reject=0.77; max_qdiff_norm=0.25 [Likert-aware] |
| negative_affect_9 | numeric | numeric | 10422 | 80 | 0.000 | 0.062 | TRUE | TRUE | 1 | 0.7500000 | 0.9006621 | 0.535 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=0.90; KS_reject=0.54; max_qdiff_norm=0.25 [Likert-aware] |
| obsessive_passion_11 | numeric | numeric | 10422 | 80 | 0.000 | 0.162 | TRUE | TRUE | 1 | 0.8333333 | 0.3214360 | 0.915 | 0.5000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.83; H=0.32; KS_reject=0.92; max_qdiff_norm=0.50 [Likert-aware] |
| obsessive_passion_7 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 1.0000000 | 0.3410432 | 0.885 | 0.5000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.34; KS_reject=0.89; max_qdiff_norm=0.50 [Likert-aware] |
| past_activism_2 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 1.0000000 | 0.6173747 | 0.870 | 1.0000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.62; KS_reject=0.87; max_qdiff_norm=1.00 [Likert-aware] |
| past_activism_4 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 1.0000000 | 0.5747046 | 0.795 | 1.0000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.57; KS_reject=0.80; max_qdiff_norm=1.00 [Likert-aware] |
| peaceful_intent_11 | numeric | numeric | 10422 | 80 | 0.000 | 0.188 | TRUE | TRUE | 1 | 0.8571429 | 0.6207190 | 0.995 | 0.5714286 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.86; H=0.62; KS_reject=0.99; max_qdiff_norm=0.57 [Likert-aware] |
| peaceful_intent_9 | numeric | numeric | 10422 | 80 | 0.000 | 0.175 | TRUE | TRUE | 1 | 0.8571429 | 0.6181277 | 0.955 | 0.4285714 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.86; H=0.62; KS_reject=0.95; max_qdiff_norm=0.43 [Likert-aware] |
| perceived_discrimination_7 | numeric | numeric | 10422 | 80 | 0.000 | 0.038 | TRUE | TRUE | 1 | 0.6666667 | 0.5180013 | 1.000 | 0.6666667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.67; H=0.52; KS_reject=1.00; max_qdiff_norm=0.67 [Likert-aware] |
| perceived_discrimination_8 | numeric | numeric | 10422 | 80 | 0.000 | 0.025 | TRUE | TRUE | 1 | 0.6666667 | 0.3584239 | 0.540 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.67; H=0.36; KS_reject=0.54; max_qdiff_norm=0.33 [Likert-aware] |
| positive_affect_1 | numeric | numeric | 10422 | 80 | 0.000 | 0.112 | TRUE | TRUE | 1 | 0.7500000 | 1.0244166 | 0.925 | 0.3333333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=1.02; KS_reject=0.93; max_qdiff_norm=0.33 [Likert-aware] |
| positive_affect_2 | numeric | numeric | 10422 | 80 | 0.000 | 0.075 | TRUE | TRUE | 1 | 0.7500000 | 1.0958409 | 0.970 | 0.3416667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=1.10; KS_reject=0.97; max_qdiff_norm=0.34 [Likert-aware] |
| positive_affect_3 | numeric | numeric | 10422 | 80 | 0.000 | 0.075 | TRUE | TRUE | 1 | 0.7500000 | 1.0646116 | 0.990 | 0.5000000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=1.06; KS_reject=0.99; max_qdiff_norm=0.50 [Likert-aware] |
| positive_affect_4 | numeric | numeric | 10422 | 80 | 0.000 | 0.100 | TRUE | TRUE | 1 | 0.7500000 | 1.0619999 | 0.970 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.75; H=1.06; KS_reject=0.97; max_qdiff_norm=0.25 [Likert-aware] |
| positive_affect_5 | numeric | numeric | 10422 | 80 | 0.000 | 0.075 | TRUE | TRUE | 1 | 0.9000000 | 1.0238376 | 0.990 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.90; H=1.02; KS_reject=0.99; max_qdiff_norm=0.25 [Likert-aware] |
| radical_attitudes_2 | numeric | numeric | 10422 | 80 | 0.000 | 0.075 | TRUE | TRUE | 1 | 0.8571429 | 0.3391892 | 0.470 | 0.4285714 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.86; H=0.34; KS_reject=0.47; max_qdiff_norm=0.43 [Likert-aware] |
| radical_attitudes_3 | numeric | numeric | 10422 | 80 | 0.000 | 0.088 | TRUE | TRUE | 1 | 0.8571429 | 0.4173825 | 0.130 | 0.1428571 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.86; H=0.42; KS_reject=0.13; max_qdiff_norm=0.14 [Likert-aware] |
| violent_intent_1 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 0.9183673 | 0.3885728 | 0.620 | 0.4285714 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.92; H=0.39; KS_reject=0.62; max_qdiff_norm=0.43 [Likert-aware] |
| violent_intent_6 | numeric | numeric | 10422 | 80 | 0.000 | 0.138 | TRUE | TRUE | 1 | 0.9333333 | 0.4117845 | 0.895 | 0.4285714 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.93; H=0.41; KS_reject=0.90; max_qdiff_norm=0.43 [Likert-aware] |
Code
Hard fails are not a problem as to be expected and wanted. Probably different items lack variability found in the full data so also no problem and insufficient data items were items that were not recorded in Jihadist dataset.
drop indonesia data
Due to sampling missmatches, these participants needed to be dropped. Their ideology was strongly focused on building peace.
Analysis df
Create full
Code
# combing them also serves as check that dataframes have the same nrow
dt_ana_base <- tibble(
response_id = as.character(dt_clean$response_id),
age = results_subscale$age$scale_scores,
gender = results_subscale$gender$scale_scores,
education = results_subscale$education$scale_scores,
education_num = as.numeric(education),
religion = results_subscale$religion$scale_scores,
country = dt_clean$country_clean, # should probably be moved out of scale collapse script
moral_neutralization = as.numeric(results_subscale$moral_neutralization$scale_info$scale_raw),
anger = as.numeric(results_subscale$anger$scale_info$scale_raw),
radical_attitudes = as.numeric(results_subscale$radical_attitudes$scale_info$scale_raw),
positive_affect = as.numeric(results_subscale$positive_affect$scale_info$scale_raw),
negative_affect = as.numeric(results_subscale$negative_affect$scale_info$scale_raw),
past_activism = as.numeric(results_subscale$past_activism$scale_info$scale_raw),
collective_relative_deprivation = as.numeric(results_subscale$collective_relative_deprivation$scale_info$scale_raw),
perceived_discrimination = as.numeric(results_subscale$perceived_discrimination$scale_info$scale_raw),
ingroup_superiority = as.numeric(results_subscale$ingroup_superiority$scale_info$scale_raw),
activist_intent = as.numeric(results_subscale$activist_intent$scale_info$scale_raw),
harmonious_passion = as.numeric(results_subscale$harmonious_passion$scale_info$scale_raw),
obsessive_passion = as.numeric(results_subscale$obsessive_passion$scale_info$scale_raw),
commitment_passion = as.numeric(results_subscale$commitment_passion$scale_info$scale_raw),
identity_fusion = as.numeric(results_subscale$identity_fusion$scale_info$scale_raw),
intuition = as.numeric(results_subscale$intuition$scale_info$scale_raw$intuition_1),
logic = as.numeric(results_subscale$logic$scale_info$scale_raw$logic_2),
violent_intent = as.numeric(results_subscale$violent_intent$scale_info$scale_raw),
peaceful_intent = as.numeric(results_subscale$peaceful_intent$scale_info$scale_raw)
)add jihadist
— rbind sanity check: dt_ana_base vs dt_ana_base_jih — Shared columns: 25
⛔ Hard fails:
- age
- country
- education_num
- moral_neutralization
- response_id
⚠️ Probably different items:
- education
- gender
- religion
❓ Insufficient data:
- activist_intent
- intuition
- logic
✅ Similar enough:
- anger
- collective_relative_deprivation
- commitment_passion
- harmonious_passion
- identity_fusion
- ingroup_superiority
- negative_affect
- obsessive_passion
- past_activism
- peaceful_intent
- perceived_discrimination
- positive_affect
- radical_attitudes
- violent_intent
Code
| column | type_df1 | type_df2 | n_df1 | n_df2 | na_rate_df1 | na_rate_df2 | min_equal | max_equal | range_overlap | trimmed_overlap | hellinger | ks_equaln_reject | max_qdiff_norm | jaccard_levels | chisq_p | logical_gap | hard_fail | hard_fail_reason | verdict | note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| age | numeric | numeric | 10422 | 80 | 0 | 0.025 | FALSE | FALSE | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | numeric min/max mismatch: [18,112] vs [20,63] (tol=0) | hard_fail | min/max differ |
| country | character | character | 10422 | 80 | 0 | 0.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | categorical new levels in dt_ana_base_jih not in dt_ana_base: Jihadist | hard_fail | new levels present in df2 |
| education_num | numeric | numeric | 10422 | 80 | 0 | 0.075 | TRUE | FALSE | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | numeric min/max mismatch: [1,7] vs [1,5] (tol=0) | hard_fail | min/max differ |
| moral_neutralization | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | FALSE | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | numeric min/max mismatch: [1,7] vs [1,4.875] (tol=0) | hard_fail | min/max differ |
| response_id | character | character | 10422 | 80 | 0 | 0.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | TRUE | categorical new levels in dt_ana_base_jih not in dt_ana_base: 2020007970, 2020007408, 2009037529, 2018012441, 2015000958, 9835504361, 2017006286, 2021009230, 2006003109, 2004003886 | hard_fail | new levels present in df2 |
| activist_intent | numeric | numeric | 10422 | 80 | 0 | 1.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | FALSE | NA | insufficient_data | numeric: no finite values in one or both data sets |
| intuition | numeric | numeric | 10422 | 80 | 0 | 1.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | FALSE | NA | insufficient_data | numeric: no finite values in one or both data sets |
| logic | numeric | numeric | 10422 | 80 | 0 | 1.000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | FALSE | NA | insufficient_data | numeric: no finite values in one or both data sets |
| education | character | character | 10422 | 80 | 0 | 0.075 | NA | NA | NA | NA | NA | NA | NA | 0.4285714 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.43; chisq_p=0.000; levels: 7 vs 3 |
| gender | character | character | 10422 | 80 | 0 | 0.000 | NA | NA | NA | NA | NA | NA | NA | 0.3333333 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.33; chisq_p=0.000; levels: 3 vs 1 |
| religion | character | character | 10422 | 80 | 0 | 0.000 | NA | NA | NA | NA | NA | NA | NA | 0.1666667 | 0 | NA | FALSE | NA | probably_not_same | cat: jaccard=0.17; chisq_p=0.000; levels: 6 vs 1 |
| anger | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.7401361 | 0.4131908 | 0.995 | 0.2500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.74; H=0.41; KS_reject=0.99; max_qdiff_norm=0.25 [Likert-aware] |
| collective_relative_deprivation | numeric | numeric | 10422 | 80 | 0 | 0.125 | TRUE | TRUE | 1 | 0.8055556 | 0.6085637 | 0.995 | 0.2222222 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.81; H=0.61; KS_reject=0.99; max_qdiff_norm=0.22 [Likert-aware] |
| commitment_passion | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.9583333 | 0.3909719 | 0.750 | 0.2125000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.96; H=0.39; KS_reject=0.75; max_qdiff_norm=0.21 [Likert-aware] |
| harmonious_passion | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 1.0000000 | 0.3664419 | 0.590 | 0.1944444 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.37; KS_reject=0.59; max_qdiff_norm=0.19 [Likert-aware] |
| identity_fusion | numeric | numeric | 10422 | 80 | 0 | 0.062 | TRUE | TRUE | 1 | 0.9523810 | 0.8897086 | 1.000 | 0.4761905 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.95; H=0.89; KS_reject=1.00; max_qdiff_norm=0.48 [Likert-aware] |
| ingroup_superiority | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 1.0000000 | 0.5555917 | 1.000 | 0.4583333 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=1.00; H=0.56; KS_reject=1.00; max_qdiff_norm=0.46 [Likert-aware] |
| negative_affect | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.9355509 | 0.2459988 | 0.660 | 0.1166667 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.94; H=0.25; KS_reject=0.66; max_qdiff_norm=0.12 [Likert-aware] |
| obsessive_passion | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.8050000 | 0.4471840 | 1.000 | 0.4444444 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.80; H=0.45; KS_reject=1.00; max_qdiff_norm=0.44 [Likert-aware] |
| past_activism | numeric | numeric | 10422 | 80 | 0 | 0.138 | TRUE | TRUE | 1 | 0.5000000 | 1.4054694 | 1.000 | 0.7500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.50; H=1.41; KS_reject=1.00; max_qdiff_norm=0.75 [Likert-aware] |
| peaceful_intent | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.8571429 | 0.4634721 | 1.000 | 0.3809524 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.86; H=0.46; KS_reject=1.00; max_qdiff_norm=0.38 [Likert-aware] |
| perceived_discrimination | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.6363636 | 0.3946199 | 0.965 | 0.4064394 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.64; H=0.39; KS_reject=0.96; max_qdiff_norm=0.41 [Likert-aware] |
| positive_affect | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.7826087 | 0.3688311 | 0.145 | 0.1500000 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.78; H=0.37; KS_reject=0.14; max_qdiff_norm=0.15 [Likert-aware] |
| radical_attitudes | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.8528785 | 0.3367368 | 0.465 | 0.2142857 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.85; H=0.34; KS_reject=0.47; max_qdiff_norm=0.21 [Likert-aware] |
| violent_intent | numeric | numeric | 10422 | 80 | 0 | 0.000 | TRUE | TRUE | 1 | 0.7011218 | 0.4350303 | 1.000 | 0.4285714 | NA | NA | NA | FALSE | NA | similar_enough | num: min_equal=TRUE; max_equal=TRUE; range_overlap=1.00; trimmed_overlap=0.70; H=0.44; KS_reject=1.00; max_qdiff_norm=0.43 [Likert-aware] |
Code
cat("Hard fails are not a problem as to be expected and wanted. Moral neutralization is skewed but same endpoints that so no problem but gets flagged here. The probably different items are also fine as they just have different levels (missing the variability of the large base set). The insufficient data are the ones that did not get measured. <br> Info: Identity fusion got recoded to 0,7 from 0,1. ")Hard fails are not a problem as to be expected and wanted. Moral neutralization is skewed but same endpoints that so no problem but gets flagged here. The probably different items are also fine as they just have different levels (missing the variability of the large base set). The insufficient data are the ones that did not get measured.
Info: Identity fusion got recoded to 0,7 from 0,1.
impute jihadist
Code
res <- impute_flex(
dt_ana_base,
scope = "scoped",
country_var = "country",
country_value = "Jihadist",
target_vars = c("activist_intent","intuition","logic",
"past_activism","collective_relative_deprivation"),
id_vars = "response_id",
m = 20,
maxit = 10,
seed = 42,
verbose = TRUE,
parallel_mode = "cluster", # <— turn on cluster backend
cores = parallel::detectCores() - 2,
cl_type = if (.Platform$OS.type == "windows") "PSOCK" else "FORK"
)Will impute 261 values across 5 variable(s). Top variables by # of cells to impute: - activist_intent: 80 - intuition: 80 - logic: 80 - past_activism: 11 - collective_relative_deprivation: 10
drop indonesia data
Due to sampling missmatches, these participants needed to be dropped. Their ideology was strongly focused on building peace.
Create dichotomous
Code
# add left vs right vs religious as new scale
dt_orientation <- read.csv("../data/mapping/parties_on_political_spectrum.csv", sep = ";")
dt_orientation %>%
kable(., caption = "We use the following orientation values for the merge") %>%
kable_styling(full_width = F, latex_options = c("hold_position", "scale-down")) %>%
scroll_box(width = "100%", height = "600px")| country | group | orientation |
|---|---|---|
| Argentina | Frente de Todos | Left |
| Australia | Australian Labor Party | Left |
| Austria | Österreichische Volkspartei | Right |
| Brazil | Partido Liberal | Right |
| Canada | Liberal Party of Canada | Left |
| Colombia | Partido Liberal Colombiano | Left |
| Czech | ANO 2011 | Right |
| Denmark | Socialdemokratiet | Left |
| Finland | Sosialidemokraattinen puolue | Left |
| France | La République En Marche | Right |
| Germany | Sozialdemokratische Partei Deutschland | Left |
| Greece | Nea Dimokratía | Right |
| Hungary | Fidesz-KDNP | Right |
| Israel | Likud supporters | Right |
| Italy | Fratelli d'Italia | Right |
| Mexico | Movimiento Regeneración Nacional | Right |
| Netherlands | Volkspartij voor Vrijheid en Democratie | Right |
| Norway | Arbeiderpartiet | Left |
| Poland | Prawo i Sprawiedliwość | Right |
| Portugal | Partido Socialista | Left |
| Romania | Partidul Social Democrat | Left |
| Spain | Partido Socialista Obrero Español (PSOE) | Left |
| Sweden | Sveriges Socialdemokratiska arbetareparti | Left |
| Thailand | Pheu Thai Party | Right |
| Turkey | Adalet ve Kalkınma Partisi | Right |
| United Kingdom | Conservative Party | Right |
| US Democrats | Democrats | Left |
| US Republicans | Republicans | Right |
| India | Hindu | Religious Hinduism |
| Algeria | Muslim | Religious Islam |
| Egypt | Muslim | Religious Islam |
| Indonesia | Muslim | Religious Islam |
| Jordan | Muslim | Religious Islam |
| Kuwait | Muslim | Religious Islam |
| Lebanon | Muslim | Religious Islam |
| Malaysia | Muslim | Religious Islam |
| Morocco | Muslim | Religious Islam |
| Nigeria | Muslim | Religious Islam |
| Pakistan | Muslim | Religious Islam |
| Philippines | Muslim | Religious Islam |
| Saudi Arabia | Muslim | Religious Islam |
| Tunisia | Muslim | Religious Islam |
| Jihadist | Muslim | Religious Islam |
Code
# 1) Identify any parties in dt_ana_base that aren’t in dt_orientation
missing_parties <- setdiff(dt_ana_base$country, dt_orientation$country)
if (length(missing_parties) > 0) {
warning(
sprintf(
"No orientation mapping for %d country(ies): %s",
length(missing_parties),
paste(unique(missing_parties), collapse = ", ")
)
)
}Code
# demographics
dt_ana_dicho <- dt_ana_base %>%
left_join(dt_orientation, by = "country") %>%
transmute(
response_id = response_id,
noRel_vs_christian = as.numeric(religion == "Christian"),
noRel_vs_muslim = as.numeric(religion == "Muslim"),
noRel_vs_buddhist = as.numeric(religion == "Buddhist"),
noRel_vs_jewish = as.numeric(religion == "Jewish"),
noRel_vs_other = as.numeric(religion == "Other"),
left_vs_right = as.numeric(orientation == "Right"),
left_vs_religious = as.numeric(str_detect(orientation, regex("Religious", ignore_case = TRUE))),
female_vs_male = as.numeric(ifelse(gender == "Female", 1, ifelse(gender == "Male", 0, NA)))
)
# save relevant dichotomous variables
relevant_dicho_vars <- names(dt_ana_dicho)[!grepl("response_id", names(dt_ana_dicho))]
# create dt ana_full
dt_ana_full <- dplyr::left_join(dt_ana_base, dt_ana_dicho, by = "response_id")Center
Code
source("../scripts/functions/calculate-grouped-scales.R")
relevant_vars <- c(
"age",
"education_num",
"moral_neutralization",
"anger",
"radical_attitudes",
# "positive_affect",
"negative_affect",
"past_activism",
"collective_relative_deprivation",
"perceived_discrimination",
"ingroup_superiority",
"activist_intent",
# "harmonious_passion",
"obsessive_passion",
"commitment_passion",
"identity_fusion",
"intuition",
"logic",
"violent_intent", # no need for centering as DV
"peaceful_intent" # no need for centering as DV
)
dt_ana_full <- calculate_grouped_scales(
data = dt_ana_full,
grouping_var = country,
variables = relevant_vars
)Create analysis dfs
Dropping scales
We are dropping harmonious passion and positive affect due to mismatches with the previous meta-analysis and high multicollinearity.
Dropping participants
Code
# 1. How many rows we start with
initial_rows <- nrow(dt_ana_full)
# 2. Extract only the rows that have *any* missing value
missing_rows <- dt_ana_full %>%
filter(!complete.cases(.))
# 3. Build a long‐format summary: for each country & each variable, how many missing?
missing_by_country <- missing_rows %>%
# turn every column except country into a logical is.na(.) flag
mutate(across(-country, ~ is.na(.))) %>%
# pivot so that each row is one country/variable/is_missing
pivot_longer(
cols = -country,
names_to = "variable",
values_to = "is_missing"
) %>%
filter(is_missing) %>% # keep only the TRUEs
count(country, variable, name = "n_missing") %>% # tally
arrange(country, desc(n_missing))
# 4. (Optional) A wide‐format version, so you can see at a glance each country’s missing count per column
missing_wide <- missing_by_country %>%
pivot_wider(
names_from = variable,
values_from = n_missing,
values_fill = 0
) %>%
# and maybe a total across all cols
mutate(total_missing = rowSums(across(-country)))
# 5. Print a little summary
cat("We removed", nrow(missing_rows), "rows due to missingness.\n\n")We removed 28 rows due to missingness.
Code
| country | variable | n_missing |
|---|---|---|
| Australia | female_vs_male | 1 |
| Austria | female_vs_male | 2 |
| Brazil | female_vs_male | 1 |
| Finland | female_vs_male | 1 |
| Germany | female_vs_male | 1 |
| India | female_vs_male | 1 |
| Italy | female_vs_male | 2 |
| Jihadist | activist_intent | 12 |
| Jihadist | activist_intent_cw | 12 |
| Jihadist | activist_intent_gmc | 12 |
| Jihadist | activist_intent_gmz | 12 |
| Jihadist | activist_intent_zw | 12 |
| Jihadist | intuition | 12 |
| Jihadist | intuition_cw | 12 |
| Jihadist | intuition_gmc | 12 |
| Jihadist | intuition_gmz | 12 |
| Jihadist | intuition_zw | 12 |
| Jihadist | logic | 12 |
| Jihadist | logic_cw | 12 |
| Jihadist | logic_gmc | 12 |
| Jihadist | logic_gmz | 12 |
| Jihadist | logic_zw | 12 |
| Jihadist | education | 6 |
| Jihadist | education_num | 6 |
| Jihadist | education_num_cw | 6 |
| Jihadist | education_num_gmc | 6 |
| Jihadist | education_num_gmz | 6 |
| Jihadist | education_num_zw | 6 |
| Jihadist | past_activism | 6 |
| Jihadist | past_activism_cw | 6 |
| Jihadist | past_activism_gmc | 6 |
| Jihadist | past_activism_gmz | 6 |
| Jihadist | past_activism_zw | 6 |
| Jihadist | identity_fusion | 5 |
| Jihadist | identity_fusion_cw | 5 |
| Jihadist | identity_fusion_gmc | 5 |
| Jihadist | identity_fusion_gmz | 5 |
| Jihadist | identity_fusion_zw | 5 |
| Jihadist | collective_relative_deprivation | 3 |
| Jihadist | collective_relative_deprivation_cw | 3 |
| Jihadist | collective_relative_deprivation_gmc | 3 |
| Jihadist | collective_relative_deprivation_gmz | 3 |
| Jihadist | collective_relative_deprivation_zw | 3 |
| Jihadist | age | 2 |
| Jihadist | age_cw | 2 |
| Jihadist | age_gmc | 2 |
| Jihadist | age_gmz | 2 |
| Jihadist | age_zw | 2 |
| Jordan | female_vs_male | 2 |
| Lebanon | female_vs_male | 2 |
| Mexico | female_vs_male | 1 |
| Nigeria | female_vs_male | 1 |
| Thailand | female_vs_male | 1 |
Raw
Code
dt_ana_prep <- dt_ana_full %>%
select(
all_of(relevant_vars),
all_of(relevant_dicho_vars)
)
dt_ana_violent <- dt_ana_prep %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("peaceful_intent"),
)
dt_ana_violent_explo <- dt_ana_prep %>%
select(
-starts_with("peaceful_intent"),
)
dt_ana_peaceful <- dt_ana_prep %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("violent_intent"),
)
dt_ana_peaceful_explo <- dt_ana_prep %>%
select(
-starts_with("violent_intent"),
)Centered Grand Mean
Code
dt_ana_prep_gmc <- dt_ana_full %>%
select(
peaceful_intent,
violent_intent,
all_of(relevant_dicho_vars),
ends_with("_gmc")
)
dt_ana_violent_gmc <- dt_ana_prep_gmc %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("peaceful_intent"),
-violent_intent_gmc
)
dt_ana_violent_explo_gmc <- dt_ana_prep_gmc %>%
select(
-starts_with("peaceful_intent"),
-violent_intent_gmc
)
dt_ana_peaceful_gmc <- dt_ana_prep_gmc %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("violent_intent"),
-peaceful_intent_gmc
)
dt_ana_peaceful_explo_gmc <- dt_ana_prep_gmc %>%
select(
-starts_with("violent_intent"),
-peaceful_intent_gmc
)Centered within
Code
dt_ana_prep_cw <- dt_ana_full %>%
select(
peaceful_intent,
violent_intent,
all_of(relevant_dicho_vars),
ends_with("_cw")
)
dt_ana_violent_cw <- dt_ana_prep_cw %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("peaceful_intent"),
-violent_intent_cw
)
dt_ana_violent_explo_cw <- dt_ana_prep_cw %>%
select(
-starts_with("peaceful_intent"),
-violent_intent_cw
)
dt_ana_peaceful_cw <- dt_ana_prep_cw %>%
select(
-starts_with("intuition"),
-starts_with("logic"),
-starts_with("violent_intent"),
-peaceful_intent_cw
)
dt_ana_peaceful_explo_cw <- dt_ana_prep_cw %>%
select(
-starts_with("violent_intent"),
-peaceful_intent_cw
)Harmonize dt_items and full
Code
# remove people that have no entries in dt_full
# Save the original count
n_before <- nrow(dt_items)
# Keep only rows with response_id present in dt_ana_base
dt_items <- dt_items %>%
semi_join(dt_ana_full, by = "response_id")
# Print how many were removed
cat("Removed:", n_before - nrow(dt_items), "rows\n")Removed: 28 rowsCode
Remaining: 10395 rows. Ana_full has: 10395 Saving dataframe dt_items....
Dataframe saved as ../data/wrangled_data/dt_items.RData and ../data/wrangled_data/dt_items.csvImpute items overall
Code
# works but takes quite long (better to do this when actually needed)
impute_items = FALSE
if (impute_items) {
res2 <- impute_flex(
dt_items, # your other dataset
scope = "all", # <- this is the new mode
id_vars = c("response_id"), # protect all ID-like columns
# never_impute_extra = c("created_at"), # optionally protect extra columns
m = 20,
maxit = 10,
seed = 42,
verbose = TRUE,
parallel_mode = "cluster", # <— turn on cluster backend
cores = parallel::detectCores() - 2,
cl_type = if (.Platform$OS.type == "windows") "PSOCK" else "FORK"
)
dt_items <- res2$completed
}Save Dataframes
Saving dataframe dt_ana_full…. Dataframe saved as ../data/wrangled_data/dt_ana_full.RData and ../data/wrangled_data/dt_ana_full.csv
Saving dataframe dt_ana_violent…. Dataframe saved as ../data/wrangled_data/dt_ana_violent.RData and ../data/wrangled_data/dt_ana_violent.csv
Saving dataframe dt_ana_peaceful…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful.RData and ../data/wrangled_data/dt_ana_peaceful.csv
Saving dataframe dt_ana_violent_explo…. Dataframe saved as ../data/wrangled_data/dt_ana_violent_explo.RData and ../data/wrangled_data/dt_ana_violent_explo.csv
Saving dataframe dt_ana_peaceful_explo…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful_explo.RData and ../data/wrangled_data/dt_ana_peaceful_explo.csv
Saving dataframe dt_ana_violent_cw…. Dataframe saved as ../data/wrangled_data/dt_ana_violent_cw.RData and ../data/wrangled_data/dt_ana_violent_cw.csv
Saving dataframe dt_ana_peaceful_cw…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful_cw.RData and ../data/wrangled_data/dt_ana_peaceful_cw.csv
Saving dataframe dt_ana_violent_explo_cw…. Dataframe saved as ../data/wrangled_data/dt_ana_violent_explo_cw.RData and ../data/wrangled_data/dt_ana_violent_explo_cw.csv
Saving dataframe dt_ana_peaceful_explo_cw…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful_explo_cw.RData and ../data/wrangled_data/dt_ana_peaceful_explo_cw.csv
Saving dataframe dt_ana_violent_gmc…. Dataframe saved as ../data/wrangled_data/dt_ana_violent_gmc.RData and ../data/wrangled_data/dt_ana_violent_gmc.csv
Saving dataframe dt_ana_peaceful_gmc…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful_gmc.RData and ../data/wrangled_data/dt_ana_peaceful_gmc.csv
Saving dataframe dt_ana_violent_explo_gmc…. Dataframe saved as ../data/wrangled_data/dt_ana_violent_explo_gmc.RData and ../data/wrangled_data/dt_ana_violent_explo_gmc.csv
Saving dataframe dt_ana_peaceful_explo_gmc…. Dataframe saved as ../data/wrangled_data/dt_ana_peaceful_explo_gmc.RData and ../data/wrangled_data/dt_ana_peaceful_explo_gmc.csv