liu_2019_cadre_selection

2,980 rated or chosen profiles from 299 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionChinese government officials (n=299 with answers) chose between 5 pairs of hypothetical candidates for an entry-level government post, varying gender, party membership, college, degree, award, work experience and father's occupation. Outcomes: which candidate to select, plus 1-5 ratings of suitability, leadership and task implementation.
ReferenceLiu, H. (2019). The logic of authoritarian political selection: Evidence from a conjoint experiment in China. Political Science Research and Methods, 7(4), 853-870.
DOI10.1017/psrm.2018.24
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/SLZ2OA

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents299
Rows (one per respondent, task and profile)2,980
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topiclabour hiring
A profile representsperson
CountryCN
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich candidate would you select? (paraphrase) [choice, forced]
rating_implementationRating of each candidate: task implementation (paraphrase) [rating, 1 (unknown) to 5 (unknown)]
rating_leadershipRating of each candidate: leadership quality (paraphrase) [rating, 1 (unknown) to 5 (unknown)]
rating_qualifiedRating of each candidate: being qualified and suitable (paraphrase) [rating, 1 (unknown) to 5 (unknown)]

Columns

attr_awardattr_collegeattr_educationattr_father_occupationattr_genderattr_political_affiliationattr_work_experiencechoicecov_agecov_ccpcov_gendercov_interviewercov_leadercov_onlinecov_rankcov_workunitidprofilerating_implementationrating_leadershiprating_qualifiedtask

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("liu_2019_cadre_selection", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("liu_2019_cadre_selection", source="conj")

How to cite

@article{Liu_2018, title={The Logic of Authoritarian Political Selection: Evidence from a Conjoint Experiment in China}, volume={7}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2018.24}, DOI={10.1017/psrm.2018.24}, number={04}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Liu, Hanzhang}, year={2018}, month=July, pages={853–870} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0