40,792 rated or chosen profiles from 2,119 respondents, in up to 10 tasks of 2 profiles varying on 4 attributes.
| Description | Flemish voters of Vooruit, Groen, Open VLD and Vlaams Belang (n = 2,119) chose between two party manifestos in 10 tasks (5 social democratic, 5 liberal), each stating randomized positions on the welfare state, inheritance taxes, immigration and nature conservation. |
|---|---|
| Reference | Luypaert, J. (2024). Replication data for: Balancing an ideological trade-off: Electoral appeal of consistent and responsive party positions [Data set]. Harvard Dataverse. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/RZE2BA |
selected), no opt-out; question wording not in the deposit (authors: vote intention). Tasks 1-5 social democratic, 6-10 liberal manifestos (trial_manifesto). Levels uniform and unconstrained; attribute order randomized per respondent (attrpos_). The deposited manifesto ratings are not included: their scale and direction are undocumented. N = 2,119 vs 2,082 stated in the deposit.These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,119 |
|---|---|
| Rows (one per respondent, task and profile) | 40,792 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms |
|---|---|
| A profile represents | policy |
| Country | BE |
| Language shown | nl |
| Language of stored levels | nl |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | unknown [choice, forced] |
|---|
attr_immigrationattr_inheritance_taxesattr_nature_conservationattr_welfare_stateattrpos_immigrationattrpos_inheritance_taxesattrpos_nature_conservationattrpos_welfare_statechoicecov_vote_partyidprofiletasktrial_manifesto
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("luypaert_2024_party_manifestos", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("luypaert_2024_party_manifestos", source="conj")
@misc{https://doi.org/10.7910/dvn/rze2ba,
doi = {10.7910/DVN/RZE2BA},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/RZE2BA},
author = {Luypaert, Jasmien},
keywords = {Social Sciences},
title = {Replication Data for: Balancing an Ideological Trade-Off: Electoral Appeal of Consistent and Responsive Party Positions},
publisher = {Harvard Dataverse},
year = {2024}
}
| 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 |