54,342 rated or chosen profiles from 2,003 respondents, in up to 15 tasks of 2 profiles varying on 5 attributes.

One of 3 tables from the same source; this one is the reforms_validation table. The others are listed under Related tables.

About this table

Description	US MTurk sample (n=2,003, of 2,300 fielded) compared up to 15 pairs of proposals described by their income effects (-$5,000 to +$5,000) on five income bands (under $18,000 to over $100,000), framed (randomly, per respondent) as generic, health care or trade policies or candidates' platforms, and chose one.
Reference	Bechtel, M. M., & Liesch, R. (2020). Reforms and redistribution: Disentangling the egoistic and sociotropic origins of voter preferences. Public Opinion Quarterly, 84(1), 1-23.
DOI	10.1093/poq/nfaa006
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/QUPGIN

Notes

Conjoint table (irw_conjoint). Validation study: choice = preferred proposal (or candidate) of each pair, forced, no opt-out; wording of this instrument not deposited. trial_version is the randomly assigned framing (generic policy, health care policy, trade policy, candidate platform), constant within respondent. Profile position is inferred from row order within each recorded task. 2,003 of the 2,300 fielded respondents are in the file (matches the article's analysis N).

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	2,003
Rows (one per respondent, task and profile)	54,342
Tasks per respondent (most)	15
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

Design

Topic	tax welfare economy
A profile represents	policy
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	inferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choice	Which policy do you prefer? (paraphrase; candidate version: which candidate you prefer) [choice, forced]

Columns

attr_income_18k_35kattr_income_35k_60kattr_income_60k_100kattr_income_above_100kattr_income_below_18kchoiceidprofiletasktrial_version

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("bechtel_2020_income_reforms_validation", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bechtel_2020_income_reforms_validation", source="conj")

How to cite

@article{Bechtel_2020, title={Reforms and Redistribution: Disentangling the Egoistic and Sociotropic Origins of Voter Preferences}, volume={84}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfaa006}, DOI={10.1093/poq/nfaa006}, number={1}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Bechtel, Michael M and Liesch, Roman}, year={2020}, pages={1–23} }

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