11,214 rated or chosen profiles from 1,403 respondents, in up to 4 tasks of 2 profiles varying on 5 attributes.
| Description | UK adults (SSI online panel, the week before the 2015 general election) chose between two anonymous parties' policy packages built from the 2015 manifestos (economy, jobs, immigration, EU, education), 4 pairs each. 1,403 respondents, forced choice. |
|---|---|
| Reference | Matsuo, A., & Lee, S. (2018). Multi-dimensional policy preferences in the 2015 British general election: A conjoint analysis. Electoral Studies, 55, 89-98. |
| DOI | 10.1016/j.electstud.2018.07.005 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/CGHY3L |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,403 |
|---|---|
| Rows (one per respondent, task and profile) | 11,214 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms |
|---|---|
| A profile represents | policy |
| Country | GB |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Suppose that two parties with the issue positions described below had nominated candidates in the general election. Which of these two candidates would you be most likely to vote for? Even if you are not entirely sure, please choose the one that you most prefer. Which candidate would you support? [choice, forced] |
|---|
attr_economyattr_educationattr_euattr_immigrationattr_jobschoicecov_country_codecov_education_codecov_pid1_codecov_vote_intentionidprofiletasktrial_time_spend
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("matsuo_2018_uk_policy_packages", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("matsuo_2018_uk_policy_packages", source="conj")
@article{Matsuo_2018, title={Multi-dimensional policy preferences in the 2015 British general election: A conjoint analysis}, volume={55}, ISSN={0261-3794}, url={http://dx.doi.org/10.1016/j.electstud.2018.07.005}, DOI={10.1016/j.electstud.2018.07.005}, journal={Electoral Studies}, publisher={Elsevier BV}, author={Matsuo, Akitaka and Lee, Seonghui}, year={2018}, month=Oct, pages={89–98} }
| 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 |