33,654 rated or chosen profiles from 2,830 respondents, in up to 6 tasks of 2 profiles varying on 7 attributes.
| Description | Canadian respondents outside Quebec (Dynata, May 2020, n=2,830 before the article's exclusions) chose between two parliamentary candidates in 6 tasks varying gender, age, experience, party, COVID-19 economic-aid and lockdown positions, and a randomized executive-aggrandizement position (Parliament or courts version by respondent). |
|---|---|
| Reference | Gidengil, E., Stolle, D., & Bergeron-Boutin, O. (2022). COVID-19 and support for executive aggrandizement. Canadian Journal of Political Science, 55(2), 342-372. |
| DOI | 10.1017/S0008423922000117 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/7TMQQN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,830 |
|---|---|
| Rows (one per respondent, task and profile) | 33,654 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | CA |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Select your preferred candidate in each pair (paraphrase) [choice, forced] |
|---|
attr_ageattr_aidattr_checksattr_experienceattr_genderattr_lockdownattr_partyattrpos_aidattrpos_checksattrpos_lockdownchoicecov_anxious_activitiescov_anxious_thinkcov_attention_passcov_birth_yearcov_canadian_citizencov_duration_seccov_educationcov_gendercov_lockdown_preferencecov_party_idcov_provinceidprofiletasktrial_checks_versiontrial_task_time_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.
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("gidengil_2022_executive_aggrandizement", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gidengil_2022_executive_aggrandizement", source="conj")
@article{Gidengil_2022, title={COVID-19 and Support for Executive Aggrandizement}, volume={55}, ISSN={1744-9324}, url={http://dx.doi.org/10.1017/S0008423922000117}, DOI={10.1017/s0008423922000117}, number={2}, journal={Canadian Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Gidengil, Elisabeth and Stolle, Dietlind and Bergeron-Boutin, Olivier}, year={2022}, month=Apr, pages={342–372} }
| 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 |