2,222 rated or chosen profiles from 307 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

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

About this table

Description	US MTurk sample (May/June 2016; n=307) compared up to 4 pairs of policy proposals described by their income effects in percent (-5% to +5%) on the US average, own income, own sector, and people earning about $10,000, $85,000 and $375,000 a year, 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). Pilot study with income changes in percent. choice = preferred policy of each pair (forced, no opt-out; the pilot's wording is not deposited, the main study asked "Which policy do you prefer?"). Task and profile are inferred from row order (the file has neither). No rating or covariates in the deposit.

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	307
Rows (one per respondent, task and profile)	2,222
Tasks per respondent (most)	4
Profiles per task	2
Attributes	6
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	inferred from row order
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) [choice, forced]

Columns

attr_income_10kattr_income_375kattr_income_85kattr_income_personalattr_income_sectorattr_income_uschoiceidprofiletask

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_pilot", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bechtel_2020_income_reforms_pilot", 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