312 responses from 156 respondents to 2 items.
| Description | Affective polarization (feeling thermometer toward liberals and conservatives) |
|---|---|
| Reference | Talaifar, S., Jordan, D., Gosling, S. D., & Harari, G. M. (2025). Lifestyle polarization on a college campus: Do liberals and conservatives behave differently in everyday life?Journal of Personality and Social Psychology, 129(1), 152–180. |
| DOI | 10.1037/pspp0000549 |
| Licence | Permission via Email |
| Source data | https://osf.io/rf9k8/files/osfstorage |
| Responses | 312 |
|---|---|
| Respondents | 156 |
| Items | 2 |
| Response categories | 85 |
| Responses per respondent | 2 |
| Responses per item | 156 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | eng |
| construct name | Affective polarization (feeling thermometer toward liberals and conservatives) |
cov_academic_classcov_agecov_attention_checkcov_certaintycov_ethnicitycov_gendercov_perceived_sescov_political_orientationcov_political_orientation_dadcov_political_orientation_economiccov_political_orientation_momcov_political_orientation_socialiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("talaifar_2025_study2_thermometer")
# Python
pip install irw
import irw
df = irw.fetch("talaifar_2025_study2_thermometer")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v2.1 |
| Redivis dataset DOI | 10.57761/fr6e-wp05 |
| Manifest pin for this IRW version | v2.1 |
| Metadata source | irw_meta v23.0 |