16,218 rated or chosen profiles from 812 respondents, in up to 10 tasks of 2 profiles varying on 4 attributes.

One of 2 tables from the same source; this one is the black table. The others are listed under Related tables.

About this table

Description	Paired conjoint in which 812 Black Democratic respondents (US) chose between two hypothetical Democratic candidates in 10 match-ups, after random assignment to read or not read a narrative blaming the 2016 loss on identity politics (trial_narrative); attributes are gender, race, ideology and policy focus. Outcome: vote choice (choice).
Reference	Haines, P., & Masket, S. (2023). "You had better mention all of them": Race and gender effects in election loss narratives. Political Research Quarterly, 77(1), 417-431.
DOI	10.1177/10659129231217511
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/FDFMZT

Notes

Conjoint table (irw_conjoint_2). choice = which of two Democratic candidates the respondent would vote for (paraphrase), forced choice, no opt-out, 10 pairs; trial_narrative = 1 if the respondent first read the identity-politics loss narrative. Black respondents only (the white and Black samples are separate tables; race levels here: White / African American / Asian American / Hispanic). Attribute labels are the deposit's text columns; tasks with no answer are omitted; N against the article not checked.

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	812
Rows (one per respondent, task and profile)	16,218
Tasks per respondent (most)	10
Profiles per task	2
Attributes	4
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of these two candidates would you vote for? (paraphrase; candvote) [choice, forced]

Columns

attr_genderattr_ideologyattr_policyattr_racechoicecov_agecov_democrat_codecov_gendercov_ideology_codeidprofiletasktrial_narrative

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("haines_2023_loss_narrative_black", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("haines_2023_loss_narrative_black", source="conj")

How to cite

@article{Haines_2023, title={“You Had Better Mention All of Them:” Race and Gender Effects in Election Loss Narratives}, volume={77}, ISSN={1938-274X}, url={http://dx.doi.org/10.1177/10659129231217511}, DOI={10.1177/10659129231217511}, number={1}, journal={Political Research Quarterly}, publisher={SAGE Publications}, author={Haines, Pavielle and Masket, Seth}, year={2023}, month=Nov, pages={417–431} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0