14,400 rated or chosen profiles from 1,800 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.
| Description | Japanese adults (n = 1,800; urban and rural samples) compared 4 pairs of hypothetical plans to build a high-level radioactive waste disposal site in their municipality, varying distance, stated purpose, local opinion split, benefit offered, population and average income; each pair got a forced choice and a 1-7 acceptance rating per plan. |
|---|---|
| Reference | Hayashi, R., Asano, T., Morikawa, S., & Komatsuzaki, S. (2024). Public service motivation and not-in-my-backyard: The case of high-level radioactive waste disposal sites in Japan. International Public Management Journal, 27(6), 948-971. |
| DOI | 10.1080/10967494.2024.2322150 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/24TY4T |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,800 |
|---|---|
| Rows (one per respondent, task and profile) | 14,400 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | JP |
| Language shown | ja |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Between Construction Plan A and Construction Plan B, which plan would you accept? Please select one of them. (translated) [choice, forced] |
|---|---|
| rating | To what extent are you willing to accept both Construction Plan A and Construction Plan B? On a scale from 1 to 7, from “Absolutely not willing to accept it (1)” to “Very strongly willing to accept it (7),” please select the best choice describing your opinion about each construction plan. (translated) [rating, 1 (absolutely unwilling to accept) to 7 (very much willing to accept)] |
attr_administrativeattr_distanceattr_incomeattr_politicalattr_populationattr_socialattrpos_administrativeattrpos_distanceattrpos_incomeattrpos_politicalattrpos_populationattrpos_socialchoicecov_agecov_dev1cov_dev2cov_educationcov_em1cov_em2cov_em3cov_em4cov_gendercov_groupcov_imp1cov_imp2cov_inccov_jobcov_marcov_precov_psm01cov_psm02cov_psm03cov_psm04cov_psm05cov_psm06cov_psm07cov_psm08cov_psm09cov_psm10cov_psm11cov_psm12cov_psm13cov_psm14cov_psm15cov_psm16cov_q3_1cov_q3_10cov_q3_11cov_q3_12cov_q3_13cov_q3_14cov_q3_15cov_q3_16cov_q3_2cov_q3_3cov_q3_4cov_q3_5cov_q3_6cov_q3_7cov_q3_8cov_q3_9cov_q4_1_1cov_q4_2_1cov_risk_gcov_risk_s1cov_risk_s2cov_risk_s3cov_risk_s4cov_risk_s5cov_risk_s6cov_sccov_sup1cov_sup2cov_tr1cov_tr2cov_tr3cov_tr4cov_y_residprofileratingtask
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("hayashi_2024_nuclear_waste_site", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hayashi_2024_nuclear_waste_site", source="conj")
@article{Hayashi_2024, title={Public service motivation and not-in-my-backyard: The case of high-level radioactive waste disposal sites in Japan}, volume={27}, ISSN={1559-3169}, url={http://dx.doi.org/10.1080/10967494.2024.2322150}, DOI={10.1080/10967494.2024.2322150}, number={6}, journal={International Public Management Journal}, publisher={Informa UK Limited}, author={Hayashi, Reona and Asano, Taka-aki and Morikawa, So and Komatsuzaki, Shunsaku}, year={2024}, month=Apr, pages={948–971} }
| 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 |