16,032 rated or chosen profiles from 1,608 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

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

About this table

Description	Venezuelan migrants in Cali and Cúcuta (face-to-face, 2019; n=1,608) chose which of two hypothetical migrant profiles (origin, gender, race, skill, employment prospects, reason for leaving, partisanship) they would prefer to stay in their city and receive housing and employment assistance, 5 pairs each.
Reference	Holland, A. C., Peters, M. E., & Zhou, Y.-Y. (2024). Left out: How political ideology affects support for migrants in Colombia. The Journal of Politics, 86(4), 1291-1303.
DOI	10.1086/729943
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/PZZB1Z

Notes

Same design and outcome as the Colombian table (forced choice, no opt-out, authors' English labels). 44 unanswered tasks dropped; 1,612 respondents in the file match the article. Names, phones, addresses, IP addresses and GPS dropped. (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

Respondents	1,608
Rows (one per respondent, task and profile)	16,032
Tasks per respondent (most)	5
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	immigration asylum
A profile represents	person
Country	CO
Language shown	es
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Respondents evaluated different profiles of migrants and selected which migrant they would prefer to stay in their city and receive housing and employment assistance. (paraphrase) [choice, forced]

Columns

attr_employmentattr_genderattr_identityattr_partisanshipattr_raceattr_reasonattr_skillchoicecov_citycov_gendercov_left_rightcov_pilot_testidprofiletask

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("holland_2024_migrants_ven", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("holland_2024_migrants_ven", source="conj")

How to cite

@article{Holland_2024, title={Left Out: How Political Ideology Affects Support for Migrants in Colombia}, volume={86}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/729943}, DOI={10.1086/729943}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Holland, Alisha and Peters, Margaret E. and Zhou, Yang-Yang}, year={2024}, month=Oct, pages={1291–1303} }

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