4,164 rated or chosen profiles from 1,041 respondents, in up to 2 tasks of 2 profiles varying on 6 attributes.
One of 6 tables from the same source; this one is the pt table. The others are listed under Related tables.
| Description | Adults in Portugal (Qualtrics online panel with age, gender and education quotas, MAPLE I wave 1, Feb-Apr 2019; n = 1,041) chose between two hypothetical parties in 2 paired tasks and rated each party's vote probability (0-10); parties varied in leader's ministerial experience, ideology, economic record, EU-integration stance, immigration stance and priority on corruption. |
|---|---|
| Reference | Lobo, M. C., Pannico, R., Heyne, L., Silva, T., Kartalis, Y., & Nina, S. R. (2023). MAPLE I Study – Public Opinion Panel Survey on European Attitudes and Political Behaviour, 2019 [Data set]. Harvard Dataverse. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/AGFZFO |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,041 |
|---|---|
| Rows (one per respondent, task and profile) | 4,164 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms |
|---|---|
| A profile represents | organisation |
| Country | PT |
| Language shown | pt |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Taking into account the characteristics of these two parties, if we had legislative elections in Portugal, which party would you vote for? (paraphrase) [choice, forced] |
|---|---|
| rating | What is the probability that you would vote for each of these parties? Mark your answer on this scale, where 0 means that you definitely would not vote for this party and 10 means that you definitely would vote for this party. (translated) [rating, 0 (I definitely would not vote for this party) to 10 (I definitely would vote for this party)] |
attr_corruptionattr_economyattr_euattr_ideologyattr_immigrationattr_leaderattrpos_corruptionattrpos_economyattrpos_euattrpos_ideologyattrpos_immigrationattrpos_leaderchoicecov_agecov_age_groupcov_duration_seccov_educationcov_gendercov_languagecov_survey_weightidprofileratingtask
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("lobo_2023_parties_pt", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("lobo_2023_parties_pt", source="conj")
@misc{https://doi.org/10.7910/dvn/agfzfo,
doi = {10.7910/DVN/AGFZFO},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/AGFZFO},
author = {Lobo, Marina Costa and Pannico, Roberto and Heyne, Lea and Silva, Tiago and Kartalis, Yani and Nina, Susana Rogeiro},
keywords = {Social Sciences, Elections, Voting, European Union, Politics.Elections, Politics.GovernmentPoliticalSystemsAndOrganisations, Politics.PoliticalBehaviourAndAttitudes, Politics.PoliticalIdeology},
title = {MAPLE I Study – Public Opinion Panel Survey on European Attitudes and Political Behaviour, 2019},
publisher = {Harvard Dataverse},
year = {2023}
}
| 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 |