balmas2018_leader_personality

29,753 responses from 2,171 respondents to 14 items.

About this table

DescriptionPerceived personality ratings of foreign leaders/citizens (14 items); 5 studies pooled (N=2171); 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

Responses29,753
Respondents2,171
Items14
Response categories5
Responses per respondent13.705
Responses per item2125.214
Density0.979
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
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) -- attitude, respect and trait ratings
Mean words per item5.857
Mean characters per item44.429
Mean characters per response5.157
Flesch-Kincaid grade level8.268

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_personality")
# Python
pip install irw

import irw
df = irw.fetch("balmas2018_leader_personality")

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