21,638 rated or chosen profiles from 2,734 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.
One of 2 tables from the same source; this one is the guideline_violators table. The others are listed under Related tables.
| Description | Italian online panel respondents (wave 1, August-September 2020; 2,734 respondents, 1,237 in the authors' two-wave sample) chose which of two hypothetical individuals would be more likely to violate public-health guidelines (masks, distancing), over 4 pairs described by age, birthplace, economic status, party, sex, education and health (Italian text). |
|---|---|
| Reference | Ferwerda, J., Magni, G., Hooghe, L., & Marks, G. (2024). How crises shape circles of solidarity: Evidence from the COVID-19 pandemic in Italy. Comparative Political Studies, 57(2), 356-381. |
| DOI | 10.1177/00104140231169028 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/LKGEF8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,734 |
|---|---|
| Rows (one per respondent, task and profile) | 21,638 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | person |
| Country | IT |
| Language shown | it |
| Language of stored levels | it |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Immagini che Lei venga assunto dal Servizio Sanitario Nazionale e venga incaricato di sviluppare una campagna informativa per incoraggiare i residenti in Italia a indossare le mascherine e a mantenere il distanziamento sociale. Consideri i due ipotetici individui qui sotto. Secondo Lei quale dei due individui sarebbe più probabile di violare le linee guida di sanità pubblica? [choice, forced] |
|---|
attr_ageattr_birthplaceattr_economic_statusattr_educationattr_genderattr_healthattr_partyattrpos_ageattrpos_birthplaceattrpos_economic_statusattrpos_educationattrpos_genderattrpos_healthattrpos_partychoicecov_age_groupcov_gendercov_in_authors_samplecov_leftrightcov_non_citizencov_panel_idcov_regioncov_voteidprofiletasktrial_profile_set
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("ferwerda_2023_guideline_violators", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("ferwerda_2023_guideline_violators", source="conj")
@article{Ferwerda_2023, title={How Crises Shape Circles of Solidarity: Evidence From the COVID-19 Pandemic in Italy}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231169028}, DOI={10.1177/00104140231169028}, number={2}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Ferwerda, Jeremy and Magni, Gabriele and Hooghe, Liesbet and Marks, Gary}, year={2023}, month=May, pages={356–381} }
| 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 |