1,518 rated or chosen profiles from 506 respondents, in up to 3 tasks of 1 profile varying on 7 attributes.
One of 2 tables from the same source; this one is the hiring_managers table. The others are listed under Related tables.
| Description | 506 hiring managers in China each judged 3 hypothetical job applicants' resumes, varying an ideological study group (blocked: one of each per respondent), GPA rank, gender, CCP membership, a political statement, major and university, reporting whether they would call each applicant back (0/1). |
|---|---|
| Reference | Pan, J., & Zhang, T. (2023). Does ideology influence hiring in China? Evidence from two randomized experiments. Political Science Research and Methods, 11(1), 63-79. |
| DOI | 10.1017/psrm.2021.77 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/CLZZTW |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 506 |
|---|---|
| Rows (one per respondent, task and profile) | 1,518 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 1 |
| Attributes | 7 |
| Topic | labour hiring |
|---|---|
| A profile represents | person |
| Country | CN |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): study group blocked within respondent: each respondent's 3 resumes carry the comic, socialism and Western study groups once each (drawn without repetition) |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | reported callback by respondent (paraphrase) [rating, 0 (no callback) to 1 (callback)] |
|---|
attr_ccp_memberattr_genderattr_gpa_rankattr_majorattr_political_statementattr_study_groupattr_universitycov_agecov_ccp_membercov_educationcov_gendercov_hr_experiencecov_hukou_regioncov_incomecov_managercov_non_hancov_sectorcov_urban_hukoucov_work_experienceidprofileratingtask
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("pan_2023_hiring_managers", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("pan_2023_hiring_managers", source="conj")
@article{Pan_2022, title={Does ideology influence hiring in China? evidence from two randomized experiments}, volume={11}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2021.77}, DOI={10.1017/psrm.2021.77}, number={1}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Pan, Jennifer and Zhang, Tongtong}, year={2022}, month=Feb, pages={63–79} }
| 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 |