17,152 rated or chosen profiles from 2,144 respondents, in up to 4 tasks of 2 profiles varying on 8 attributes.

About this table

Description	Swiss 8th graders in Luzern and St.Gallen (Oct-Dec 2022; n = 2,144) each made 4 choices between two hypothetical occupations described by 8 randomized two-level attributes (IT reliance, social interactions, creativity, routine work, entrepreneurial risk, salary, family friendliness, meaningful work); outcome: forced choice.
Reference	Bajka, S. M., Combet, B., Emmenegger, P., & Seufert, S. (2025). Skill requirements versus workplace characteristics: Exploring the drivers of occupational gender segregation. Socio-Economic Review.
DOI	10.1093/ser/mwaf034
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/MEYKYI

Notes

Conjoint table (irw_conjoint). choice: respondents chose between two juxtaposed occupational profiles (paraphrase; verbatim prompt not deposited), forced choice, no opt-out. Level text is the English attribute text of the article's Table 1, matched to the deposit's one-word labels; attribute order randomized but not recorded. 2,144 respondents, as in the article.

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

Size and shape

Respondents	2,144
Rows (one per respondent, task and profile)	17,152
Tasks per respondent (most)	4
Profiles per task	2
Attributes	8
Tasks with no profile chosen	0

Design

Topic	labour hiring
A profile represents	product service
Country	CH
Language shown	unknown
Language of stored levels	en
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Respondents chose between two juxtaposed occupational profiles (paraphrase) [choice, forced]

Columns

attr_creative_tasksattr_entrepreneurial_tasksattr_family_friendlinessattr_it_relianceattr_meaningful_workattr_routine_tasksattr_salaryattr_social_interactionschoicecov_gendercov_school_classidprofiletask

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 needed Browse on Redivisexplore and query Croissant 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("bajka_2025_occupation_choice", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bajka_2025_occupation_choice", source="conj")

How to cite

@article{Bajka_2025, title={Skill requirements versus workplace characteristics: exploring the drivers of occupational gender segregation}, volume={23}, ISSN={1475-147X}, url={http://dx.doi.org/10.1093/ser/mwaf034}, DOI={10.1093/ser/mwaf034}, number={4}, journal={Socio-Economic Review}, publisher={Oxford University Press (OUP)}, author={Bajka, Scherwin M and Combet, Benita and Emmenegger, Patrick and Seufert, Sabine}, year={2025}, month=June, pages={2065–2086} }

Version and provenance

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