296,862 responses from 552 respondents to 37 items.
| Description | Data on political ideologies |
|---|---|
| Reference | Brandt, M. J., Turner-Zwinkels, F. M., & Kubin, E. (2021). Political Psychology Data from a 26-wave Yearlong Longitudinal Study (2019–2020). Journal of Open Psychology Data, 9(1). 10.5334/jopd.54 |
| DOI | 10.5334/jopd.54 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/3pwvb/ |
| Responses | 296,862 |
|---|---|
| Respondents | 552 |
| Items | 37 |
| Response categories | 7 |
| Responses per respondent | 537.793 |
| Responses per item | 8023.297 |
| Density | 14.535 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Political psychology data from a 26-wave yearlong longitudinal study (2019-2020) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Data on political ideologies |
|---|---|
| Mean words per item | 16.100 |
| Mean characters per item | 93.640 |
| Mean characters per response | 12.584 |
| Flesch-Kincaid grade level | 8.652 |
dateiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("political_psychology")
# Python
pip install irw
import irw
df = irw.fetch("political_psychology")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |