15,222 rated or chosen profiles from 1,586 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.
| Description | Jewish-Israeli adults in the July 2020 wave of an online panel (n = 1,586) chose between two Israeli COVID-19 policies toward the Palestinians in each of 5 tasks, with randomized policy type, effect on Palestinian illness, cross-infections, funding source and coordination (with the PA / Hamas). |
|---|---|
| Reference | Harsgor, L., & Yakter, A. (2024). Public preferences for intergroup assistance in conflicts facing joint external threats: Lessons from COVID-19 in Israel. Journal of Conflict Resolution, 68(7-8), 1522-1551. |
| DOI | 10.1177/00220027231198519 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/AMMJOM |
selected), no opt-out; question wording not in the deposit. Levels are the authors' English labels; the display language is not documented. Observed restriction: Medical Aid never shown with Palestinian illness Deterioration and Monitor never with Improvement, so those levels are rarer. 334 unanswered tasks dropped (1,586 of 1,589 respondents remain).These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,586 |
|---|---|
| Rows (one per respondent, task and profile) | 15,222 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | foreign policy security, health covid |
|---|---|
| A profile represents | policy |
| Country | IL |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): never observed: action Medical Aid with effect_pal Deterioration, action Monitor with effect_pal Improvement (authors model action*effect_pal); hence Medical Aid / Monitor ~2,480 vs ~3,640 profiles each for other actions and No Effect 6,036 vs ~4,900 |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| choice | unknown [choice, forced] |
|---|
attr_actionattr_collaborationattr_effect_israttr_effect_palattr_fundingchoicecov_agecov_econ_concerncov_educationcov_gendercov_health_concerncov_incomecov_left_rightcov_regioncov_religiosityidprofiletask
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("harsgor_2023_covid_aid_palestinians", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("harsgor_2023_covid_aid_palestinians", source="conj")
@article{Harsgor_2023, title={Public Preferences for Intergroup Assistance in Conflicts Facing Joint External Threats: Lessons From COVID-19 in Israel}, volume={68}, ISSN={1552-8766}, url={http://dx.doi.org/10.1177/00220027231198519}, DOI={10.1177/00220027231198519}, number={7-8}, journal={Journal of Conflict Resolution}, publisher={SAGE Publications}, author={Harsgor, Liran and Yakter, Alon}, year={2023}, month=Aug, pages={1522–1551} }
| 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 |