24,000 rated or chosen profiles from 2,000 respondents, in up to 6 tasks of 2 profiles varying on 3 attributes.

About this table

Description	South Korean adults (2,000 respondents) chose which of two policy packages, varying opportunity expansion, elite responsibility and economic security (4 levels each), would make Korean society fairer, in 6 pairs; a second pick between the same packages (wording not deposited) is choice_support.
Reference	Han, S. (2026). Replication data for: When opportunity is not enough: Mobility beliefs and fairness evaluations [Data set]. Harvard Dataverse.
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/478TLG

Notes

Conjoint table (irw_conjoint). choice: "어느 정책안이 한국 사회를 더 공정하게 만든다고 생각하십니까?" (which policy package would make Korean society fairer), A / B, forced, no opt-out; choice_support: a second A/B pick about the same pair, wording not deposited. 6 pairs per respondent, 3 attributes with 4 levels each, varied independently (codebook). Level text from the data labels, which differ slightly from the codebook's Korean mock-up.

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	2,000
Rows (one per respondent, task and profile)	24,000
Tasks per respondent (most)	6
Profiles per task	2
Attributes	3
Tasks with no profile chosen	0

Design

Topic	tax welfare economy
A profile represents	policy
Country	KR
Language shown	ko
Language of stored levels	ko
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	어느 정책안이 한국 사회를 더 공정하게 만든다고 생각하십니까? [choice, forced]
choice_support	unknown [choice, forced]

Columns

attr_economic_securityattr_elite_responsibilityattr_opportunitychoicechoice_supportcov_agecov_birth_yearcov_education_codecov_gender_codecov_homeownership_codecov_ideology_codecov_income_codecov_marital_codecov_mobility_beliefcov_professionalcov_subjective_statusidprofiletask

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("han_2026_fairness_packages", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("han_2026_fairness_packages", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/478tlg,
  doi = {10.7910/DVN/478TLG},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/478TLG},
  author = {Han, Seungwoo},
  keywords = {Social Sciences},
  title = {When Opportunity Is Not Enough: Mobility Beliefs and Fairness Evaluations},
  publisher = {Harvard Dataverse},
  year = {2026}
}

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