2,001 rated or chosen profiles from 2,001 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | 2 x 2 x 2 vignette experiment: 2,001 Canadians (Ipsos, June 2018) each read one scenario in which their MP's personal view, the riding majority and the MP's campaign promise were for or against reducing immigration by 10%, and said how the MP should vote. |
|---|---|
| Reference | Dassonneville, R., Blais, A., Sevi, S., & Daoust, J.-F. (2021). How citizens want their legislator to vote. Legislative Studies Quarterly, 46(2), 297-321. |
| DOI | 10.1111/lsq.12275 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/DQLTVJ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,001 |
|---|---|
| Rows (one per respondent, task and profile) | 2,001 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | corruption accountability |
|---|---|
| A profile represents | scenario |
| Country | CA |
| Language shown | unknown |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | Suppose the following situation. Please read the full vignette carefully. [...] how should your Member of Parliament vote? (paraphrase; source label truncated; options 'For reducing the number of immigrants' / 'Against reducing the number of immigrants') [rating, 1 (For reducing the number of immigrants) to 2 (Against reducing the number of immigrants)] |
|---|
attr_majorityattr_mp_viewattr_promisecov_agecov_educationcov_gendercov_household_incomecov_immigration_viewcov_provincecov_survey_weightcov_vote_intentionidprofileratingtasktrial_bullet_order
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.
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("dassonneville_2021_mp_vote", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("dassonneville_2021_mp_vote", source="conj")
@article{Dassonneville_2020, title={How Citizens Want Their Legislator to Vote}, volume={46}, ISSN={1939-9162}, url={http://dx.doi.org/10.1111/lsq.12275}, DOI={10.1111/lsq.12275}, number={2}, journal={Legislative Studies Quarterly}, publisher={Wiley}, author={Dassonneville, Ruth and Blais, André and Sevi, Semra and Daoust, Jean‐François}, year={2020}, month=Feb, pages={297–321} }
| 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 |