mummolo_2021_partisan_loyalty

About this table

Notes

• choice = which of "Candidate 1" or "Candidate 2" the respondent chose in each of 7 tasks; forced, no opt-out, no rating. Attribute row order was randomized per respondent and is recorded in attrpos_*. Repeat survey takers reduced to their first response (3,073 -> 3,015 respondents), undocumented items dropped; the paper's N could not be checked and Study 2 is not included because its outcome file is not deposited. (irw#2887)

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

Size and shape

Design

Outcomes:

Columns

attr_economyattr_genderattr_healthcareattr_illegal_immigrationattr_partyattr_raceattr_terrorismattr_womens_equalityattrpos_economyattrpos_genderattrpos_healthcareattrpos_illegal_immigrationattrpos_partyattrpos_raceattrpos_terrorismattrpos_womens_equalitychoicecov_age_groupcov_educationcov_gendercov_hispaniccov_ideologycov_importance_birth_controlcov_importance_corporate_taxcov_importance_muslim_immigrationcov_importance_obamacarecov_importance_path_to_citizenshipcov_incomecov_party_idcov_party_strengthcov_racecov_stance_birth_controlcov_stance_corporate_taxcov_stance_deportationcov_stance_muslim_immigrationcov_stance_obamacarecov_stance_path_to_citizenshipcov_survey_weightcov_vote_2016idprofiletask

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

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("mummolo_2021_partisan_loyalty", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("mummolo_2021_partisan_loyalty", source="conj")

How to cite

@article{Mummolo_2019, title={The Limits of Partisan Loyalty}, volume={43}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-019-09576-3}, DOI={10.1007/s11109-019-09576-3}, number={3}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Mummolo, Jonathan and Peterson, Erik and Westwood, Sean}, year={2019}, month=Nov, pages={949–972} }

Version and provenance