10,250 rated or chosen profiles from 1,032 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | Czech adults (online quota panel, 2019) rated two hypothetical strangers on a 0-100 feeling thermometer and chose which one they would prefer to talk to, 5 pairs each; profiles varied gender, education, values, party, immigration attitude and how often they talk about politics. 1,032 respondents. |
|---|---|
| Reference | Hrbková, L., Voda, P., & Havlík, V. (2024). Politically motivated interpersonal biases: Polarizing effects of partisanship and immigration attitudes. Party Politics, 30(3), 450-464. |
| DOI | 10.1177/13540688231156409 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/WRRTDC |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,032 |
|---|---|
| Rows (one per respondent, task and profile) | 10,250 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | social identity interpersonal |
|---|---|
| A profile represents | person |
| Country | CZ |
| Language shown | cs |
| Language of stored levels | cs |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two people would you prefer to talk to? (paraphrase) [choice, forced] |
|---|---|
| rating | Feeling thermometer rating of this person, 0-100 (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
attr_educationattr_genderattr_immigrationattr_partyattr_political_talkattr_valuechoicecov_age_groupcov_educationcov_gendercov_ideologycov_immigrationcov_immigration_saliencecov_interestcov_most_valuecov_municipality_sizecov_never_vote_partycov_nonvoter_leancov_polit_talkcov_regioncov_sympathy_anocov_sympathy_cssdcov_sympathy_kducslcov_sympathy_kscmcov_sympathy_odscov_sympathy_piraticov_sympathy_spdcov_sympathy_stancov_sympathy_top09cov_values_1cov_values_3cov_values_4cov_values_5cov_vote_intentionidprofileratingtask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("hrbkova_2024_conversation_partners", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hrbkova_2024_conversation_partners", source="conj")
@article{Hrbkov__2023, title={Politically motivated interpersonal biases: Polarizing effects of partisanship and immigration attitudes}, volume={30}, ISSN={1460-3683}, url={http://dx.doi.org/10.1177/13540688231156409}, DOI={10.1177/13540688231156409}, number={3}, journal={Party Politics}, publisher={SAGE Publications}, author={Hrbková, Lenka and Voda, Petr and Havlík, Vlastimil}, year={2023}, month=Feb, pages={450–464} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |