19,364 rated or chosen profiles from 1,951 respondents, in up to 5 tasks of 2 profiles varying on 9 attributes.
| Description | Japanese adults (Research Now online panel, December 2014, before the House of Representatives election; 1,951 respondents) chose which of two hypothetical parties they would support over 5 pairs of manifestos built from the real parties' positions on 9 policy issues (consumption tax, employment, monetary/fiscal policy, growth strategy, nuclear restart, TPP, collective self-defense, constitutional revision, seat reduction). |
|---|---|
| Reference | Horiuchi, Y., Smith, D. M., & Yamamoto, T. (2018). Measuring voters' multidimensional policy preferences with conjoint analysis: Application to Japan's 2014 election. Political Analysis, 26(2), 190-209. |
| DOI | 10.1017/pan.2018.2 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/KUMMUJ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,951 |
|---|---|
| Rows (one per respondent, task and profile) | 19,364 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms |
|---|---|
| A profile represents | organisation |
| Country | JP |
| Language shown | ja |
| Language of stored levels | ja |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Suppose that the following two parties were nominating candidates in this general election. Which party would you support? Even if you are not entirely sure, please indicate which of the two you would dare to support. (translated) [choice, forced] |
|---|
attr_collective_self_defenseattr_constitutionattr_consumption_taxattr_employmentattr_growth_strategyattr_monetary_fiscalattr_nuclear_restartattr_seat_reductionattr_tppattrpos_collective_self_defenseattrpos_constitutionattrpos_consumption_taxattrpos_employmentattrpos_growth_strategyattrpos_monetary_fiscalattrpos_nuclear_restartattrpos_seat_reductionattrpos_tppchoicecov_abe_approvalcov_agecov_educationcov_employmentcov_gendercov_incomecov_left_rightcov_party_idcov_pr_votecov_prefecturecov_smd_votecov_turnout_historyidprofiletask
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("horiuchi_2018_japan_manifestos", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("horiuchi_2018_japan_manifestos", source="conj")
@article{Horiuchi_2018, title={Measuring Voters’ Multidimensional Policy Preferences with Conjoint Analysis: Application to Japan’s 2014 Election}, volume={26}, ISSN={1476-4989}, url={http://dx.doi.org/10.1017/pan.2018.2}, DOI={10.1017/pan.2018.2}, number={2}, journal={Political Analysis}, publisher={Cambridge University Press (CUP)}, author={Horiuchi, Yusaku and Smith, Daniel M. and Yamamoto, Teppei}, year={2018}, month=Mar, pages={190–209} }
| 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 |