balmas2018_leader_attitudes

6,423 responses from 2,166 respondents to 3 items.

About this table

DescriptionPublic attitude items toward foreign countries/citizenry (3 items: a3-a5); 5 studies pooled (N=2166); 1-5 Likert; cov_study, cov_condition, cov_age, cov_educ
ReferenceBalmas, M. (2019). Replication Data for: Tell Me Who Is Your Leader, and I Will Tell You Who You Are: Foreign Leaders' Perceived Personality and Public Attitudes toward Their Countries and Citizenry [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/SNLKUE
DOI10.1111/ajps.12354
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SNLKUE

Size and shape

Responses6,423
Respondents2,166
Items3
Response categories5
Responses per respondent2.965
Responses per item2,141
Density0.988
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentLeader/citizen exemplar evaluation (Study 1) -- political interest items
Mean words per item19.667
Mean characters per item111.667
Mean characters per response6.200
Flesch-Kincaid grade level11.080

Columns

cov_agecov_conditioncov_educcov_studyiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("balmas2018_leader_attitudes")
# Python
pip install irw

import irw
df = irw.fetch("balmas2018_leader_attitudes")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0