29,753 responses from 2,171 respondents to 14 items.
One of 2 tables from the same source; this one is the personality table. The others are listed under Related tables.
| Description | Perceived personality ratings of foreign leaders/citizens (14 items); 5 studies pooled (N=2171); 1-5 Likert; cov_study, cov_condition, cov_age, cov_educ |
|---|---|
| Reference | Balmas, 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 |
| DOI | 10.1111/ajps.12354 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SNLKUE |
| Responses | 29,753 |
|---|---|
| Respondents | 2,171 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 13.705 |
| Responses per item | 2125.214 |
| Density | 0.979 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Leader/citizen exemplar evaluation (Study 1) -- attitude, respect and trait ratings |
|---|---|
| Mean words per item | 5.857 |
| Mean characters per item | 44.429 |
| Mean characters per response | 5.157 |
| Flesch-Kincaid grade level | 8.268 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, balmas2018_leader_personality.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_condition | Covariate | positive_negative |
cov_educ | Covariate | educ |
cov_study | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, Codebooks.pdf.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# 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")
@article{Balmas_2018, title={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}, volume={62}, ISSN={1540-5907}, url={http://dx.doi.org/10.1111/ajps.12354}, DOI={10.1111/ajps.12354}, number={2}, journal={American Journal of Political Science}, publisher={Wiley}, author={Balmas, Meital}, year={2018}, month=Mar, pages={499–514} }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v40.0 |