1,192 rated or chosen profiles from 1,192 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | Urban residents of the USA, UK and South Africa (Qualtrics panels, n = 1,192) each read one vignette from a 2 x 2 x 3 factorial about a tourist trophy hunt in sub-Saharan Africa varying the animal (elephant/zebra), use of the meat and use of the revenue, and rated how acceptable the hunt would be (7-point). |
|---|---|
| Reference | Hare, D., Dickman, A. J., Johnson, P. J., Rono, B. J., Mutinhima, Y., Sutherland, C., Kulunge, S., Sibanda, L., Mandoloma, L., & Kimaili, D. (2024). Public perceptions of trophy hunting are pragmatic, not dogmatic. Proceedings of the Royal Society B: Biological Sciences, 291, 20231638. |
| DOI | 10.1098/rspb.2023.1638 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.5281/zenodo.10641548 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,192 |
|---|---|
| Rows (one per respondent, task and profile) | 1,192 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | climate energy environment |
|---|---|
| A profile represents | scenario |
| Country | US, GB, ZA |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | How acceptable would it be for the hunt described in the vignette to take place? (paraphrase) [rating, 1 (Very unacceptable) to 7 (Very acceptable)] |
|---|
attr_animalattr_meatattr_revenuecov_agecov_countrycov_educationcov_gendercov_identity_animal_protectionistcov_identity_conservationistcov_identity_human_rightscov_identity_huntercov_individuals_vs_groupscov_people_vs_animalscov_rural_upbringingidprofileratingtask
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("hare_2024_trophy_hunting", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hare_2024_trophy_hunting", source="conj")
@article{Hare_2024, title={Public perceptions of trophy hunting are pragmatic, not dogmatic}, volume={291}, ISSN={1471-2954}, url={http://dx.doi.org/10.1098/rspb.2023.1638}, DOI={10.1098/rspb.2023.1638}, number={2016}, journal={Proceedings of the Royal Society B: Biological Sciences}, publisher={The Royal Society}, author={Hare, Darragh and Dickman, Amy J. and Johnson, Paul J. and Rono, Betty J. and Mutinhima, Yolanda and Sutherland, Chris and Kulunge, Salum and Sibanda, Lovemore and Mandoloma, Lessah and Kimaili, David}, year={2024}, month=Feb }
| 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 |