21,076 rated or chosen profiles from 1,174 respondents, in up to 9 tasks of 2 profiles varying on 4 attributes.
| Description | Italian online respondents (Qualtrics, July 2024; n = 1,174) chose which of two parties they would vote for in 8 pairs of party agendas (plus a repeat of pair 1 with sides swapped) and rated agreement with each agenda 0-10; agendas varied debt-reduction strategy (immigration, taxes, spending cuts, none), defence, civil-rights and energy policy. Outcomes: choice and rating. |
|---|---|
| Reference | Aspide, A., & DiGiuseppe, M. (2025). The mass politics of public debt, immigration, and austerity. Journal of European Public Policy, 33(7), 2010-2038. |
| DOI | 10.1080/13501763.2025.2510523 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/GRLIQN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,174 |
|---|---|
| Rows (one per respondent, task and profile) | 21,076 |
| Tasks per respondent (most) | 9 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms, tax welfare economy |
|---|---|
| A profile represents | policy |
| 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 | Quale tra questi due partiti voterebbe? [choice, forced] |
|---|---|
| rating | Da 0 (per niente) a 10 (totalmente), quanto è d'accordo con l'agenda politica A? [rating, 0 (per niente) to 10 (totalmente)] |
attr_civil_rightsattr_debt_reductionattr_defenceattr_energyattrpos_civil_rightsattrpos_debt_reductionattrpos_defenceattrpos_energychoicecov_agecov_att_check_codecov_duration_seccov_education_codecov_eu_vote2024_codecov_gender_codecov_income_codecov_left_rightcov_region_codeidprofileratingtasktrial_repeat_of
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("aspide_2025_debt_austerity", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("aspide_2025_debt_austerity", source="conj")
@article{Aspide_2025, title={The mass politics of public debt, immigration, and austerity}, volume={33}, ISSN={1466-4429}, url={http://dx.doi.org/10.1080/13501763.2025.2510523}, DOI={10.1080/13501763.2025.2510523}, number={7}, journal={Journal of European Public Policy}, publisher={Informa UK Limited}, author={Aspide, Alessia and DiGiuseppe, Matthew}, year={2025}, month=May, pages={2010–2038} }
| 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 |