miwa_2021_ideological_labels

About this table

Notes

• Conjoint table (irw_conjoint). Between-subject label arm (trial_label): choice_more_right = which candidate is more to the right (right arm), choice_more_left = which is more to the left (left arm), both forced choice with no opt-out, NA on the other arm; rating = placement of each candidate on a 1-10 left-right scale (anchors not in the deposit; higher = more right in the data). Respondents over 69 dropped as by the authors (1); the authors' satisficer and fast-task exclusions (1,330 attentive respondents) are left to the user via cov_attention_pass_1/_2 and trial_page_submit_sec. Wording paraphrased from the authors' code (no questionnaire 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

Design

Outcomes:

Columns

attr_article9attr_defenseattr_foreign_workersattr_growthattr_samesex_marriageattr_stop_apologyattr_tax_richattr_womenattrpos_article9attrpos_defenseattrpos_foreign_workersattrpos_growthattrpos_samesex_marriageattrpos_stop_apologyattrpos_tax_richattrpos_womenchoice_more_leftchoice_more_rightcov_agecov_attention_pass_1cov_attention_pass_2cov_attitude_article9cov_attitude_defensecov_attitude_foreign_workerscov_attitude_growthcov_attitude_samesex_marriagecov_attitude_stop_apologycov_attitude_tax_richcov_attitude_womencov_education_codecov_gendercov_ideologycov_knowledgecov_prefecture_codeidprofileratingtasktrial_labeltrial_page_submit_sec

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("miwa_2021_ideological_labels", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("miwa_2021_ideological_labels", source="conj")

How to cite

@article{Miwa_2021, title={Detecting Voter Understanding of Ideological Labels Using a Conjoint Experiment}, volume={45}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-021-09719-5}, DOI={10.1007/s11109-021-09719-5}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Miwa, Hirofumi and Arami, Reiko and Taniguchi, Masaki}, year={2021}, month=May, pages={635–657} }

Version and provenance