carey_2020_hiring_unm_faculty

13,920 rated or chosen profiles from 870 respondents, in up to 8 tasks of 2 profiles varying on 8 attributes.

One of 4 tables from the same source; this one is the unm_faculty table. The others are listed under Related tables.

About this table

DescriptionUniversity of New Mexico faculty (Oct 2016) (n = 870) each chose between 8 pairs of hypothetical faculty candidates described by 8 randomized attributes (gender, race/ethnicity, heritage, research record, teaching record, PhD institution, spouse/partner a faculty member, community service record); outcome: which candidate should be given priority to be hired.
ReferenceCarey, J. M., Carman, K. R., Clayton, K. P., Horiuchi, Y., Htun, M., & Ortiz, B. (2020). Who wants to hire a more diverse faculty? A conjoint analysis of faculty and student preferences for gender and racial/ethnic diversity. Politics, Groups, and Identities, 8(3), 535-553.
DOI10.1080/21565503.2018.1491866
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/GD1UEI

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

Respondents870
Rows (one per respondent, task and profile)13,920
Tasks per respondent (most)8
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topiclabour hiring
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): Heritage 'Non U.S. Citizen' never shown with race 'American Indian or Alaska Native' (randomizer restriction); level probabilities gender Woman/Man/Non-binary 0.45/0.45/0.10, race White 0.35, Hispanic or Latino 0.35, Black or African American/Asian/American Indian or Alaska Native 0.10 each, other attributes uniform
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

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.

Outcomes:

choiceIf you had to choose between them, which of these two candidates should be given priority to be hired as a new faculty member at the University of New Mexico? [choice, forced]

Columns

attr_genderattr_heritageattr_phdattr_raceattr_researchattr_serviceattr_spouse_facultyattr_teachingattrpos_genderattrpos_heritageattrpos_phdattrpos_raceattrpos_researchattrpos_serviceattrpos_spouse_facultyattrpos_teachingchoicecov_duration_seccov_gendercov_raceidprofiletask

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("carey_2020_hiring_unm_faculty", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("carey_2020_hiring_unm_faculty", source="conj")

How to cite

@article{Carey_2018, title={Who wants to hire a more diverse faculty? A conjoint analysis of faculty and student preferences for gender and racial/ethnic diversity}, volume={8}, ISSN={2156-5511}, url={http://dx.doi.org/10.1080/21565503.2018.1491866}, DOI={10.1080/21565503.2018.1491866}, number={3}, journal={Politics, Groups, and Identities}, publisher={Informa UK Limited}, author={Carey, John M. and Carman, Kevin R. and Clayton, Katherine P. and Horiuchi, Yusaku and Htun, Mala and Ortiz, Brittany}, year={2018}, month=Nov, pages={535–553} }

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