328 rated or chosen profiles from 328 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.
One of 2 tables from the same source; this one is the college table. The others are listed under Related tables.
| Description | 328 US university-lab respondents each read one wartime-conduct vignette that varied the action's consequence (positive or negative) and the target (civilian or UNESCO site), and rated intentionality and immorality. |
|---|---|
| Reference | Chu, J. A., Holmes, M., & Traven, D. (2020). Inferring intentions from consequences: How moral judgments shape citizen perceptions of wartime conduct. Journal of Experimental Political Science, 8(2). |
| DOI | 10.1017/xps.2020.7 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/YQP2UG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 328 |
|---|---|
| Rows (one per respondent, task and profile) | 328 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 2 |
| Topic | foreign policy security |
|---|---|
| A profile represents | scenario |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating_immoral | unknown (dv_immoral6; moral evaluation, wording not in the deposit; higher = more immoral by the variable name) [rating, 1 (unknown) to 6 (unknown (more immoral))] |
|---|---|
| rating_intentionality | unknown (dv_intend6; attribution of intent to the actor, wording not in the deposit) [rating, 1 (unknown) to 6 (unknown)] |
attr_consequenceattr_targetcov_agecov_genderidprofilerating_immoralrating_intentionalitytask
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("chu_2020_intent_consequences_college", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("chu_2020_intent_consequences_college", source="conj")
@article{Chu_2020, title={Inferring Intentions from Consequences: How Moral Judgments Shape Citizen Perceptions of Wartime Conduct}, volume={8}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/xps.2020.7}, DOI={10.1017/xps.2020.7}, number={2}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Chu, Jonathan A. and Holmes, Marcus and Traven, David}, year={2020}, month=Sept, pages={203–207} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |