helbling_2023_numbers_rights_s2

9,806 rated or chosen profiles from 9,806 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.

One of 2 tables from the same source; this one is the s2 table. The others are listed under Related tables.

About this table

DescriptionFactorial policy vignette (Study 2) in which 9,806 respondents in Germany (10 survey waves) rated agreement with a proposed immigration policy varying the direction of immigrant numbers, entry requirements (eased/tightened, by education or nationality) and migrant rights (extended/restricted, welfare or customs). Outcome: agreement 1-5 (rating, 1 = fully agree).
ReferenceHelbling, M., Maxwell, R., & Traunmüller, R. (2023). Numbers, selectivity, and rights: The conditional nature of immigration policy preferences. Comparative Political Studies, 57(2), 254-286.
DOI10.1177/00104140231178737
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/RCVA0X

Notes

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

Size and shape

Respondents9,806
Rows (one per respondent, task and profile)9,806
Tasks per respondent (most)1
Profiles per task1
Attributes3

Design

Topicimmigration asylum
A profile representspolicy
CountryDE
Language shownde
Language of stored levelsde
Task orderinferred from row order
Profile positioninferred from row order

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

Outcomes:

ratingInwieweit wären Sie mit einer solchen Zuwanderungspolitik einverstanden? [rating, 1 (Voll und ganz) to 5 (Überhaupt nicht)]

Columns

attr_numbersattr_requirementsattr_rightscov_birth_countrycov_birth_yearcov_educationcov_gendercov_german_citizencov_left_rightcov_limit_immigrationcov_vote_intentioncov_waveidprofileratingtask

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 neededBrowse on Redivisexplore and queryCroissant 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("helbling_2023_numbers_rights_s2", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("helbling_2023_numbers_rights_s2", source="conj")

How to cite

@article{Helbling_2023, title={Numbers, Selectivity, and Rights: The Conditional Nature of Immigration Policy Preferences}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231178737}, DOI={10.1177/00104140231178737}, number={2}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Helbling, Marc and Maxwell, Rahsaan and Traunmüller, Richard}, year={2023}, month=May, pages={254–286} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0