158 rated or chosen profiles from 158 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | 158 participants (US, paper booklet) each read one vignette proposing US economic sanctions against a fictional country, randomized on sanction type (comprehensive/targeted), expected effectiveness (high/moderate) and frame (success/failure); outcomes are support (yes/no) and three 0-100 / 1-10 judgements. |
|---|---|
| Reference | McLean, E. V., & Roblyer, D. (2017). Public support for economic sanctions: An experimental analysis. Foreign Policy Analysis, 13(1), 233-254. |
| DOI | 10.1093/fpa/orw014 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/BSAARV |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 158 |
|---|---|
| Rows (one per respondent, task and profile) | 158 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Tasks with no profile chosen | 71 |
| Topic | foreign policy security |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Should the U.S. impose the sanctions recommended by the President? (Yes / No) [choice, opt-out allowed] |
|---|---|
| rating_pain_leaders | How painful do you think the sanctions will be for the Erqatan leaders? [rating, 1 (Not Painful) to 10 (Very Painful)] |
| rating_pain_public | How painful do you think the sanctions will be for the Erqatan public? [rating, 1 (Not Painful) to 10 (Very Painful)] |
| rating_success | How likely do you think the sanctions are to succeed? (0-100) [rating, 0 (0) to 100 (100)] |
attr_effectiveness_frameattr_expected_effectivenessattr_sanction_typechoiceidprofilerating_pain_leadersrating_pain_publicrating_successtask
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("mclean_2017_sanctions", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mclean_2017_sanctions", source="conj")
@article{McLean_2016, title={Public Support for Economic Sanctions: An Experimental Analysis}, ISSN={1743-8594}, url={http://dx.doi.org/10.1093/fpa/orw014}, DOI={10.1093/fpa/orw014}, journal={Foreign Policy Analysis}, publisher={Oxford University Press (OUP)}, author={McLean, Elena V. and Roblyer, Dwight A.}, year={2016}, month=Apr, pages={orw014} }
| 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 |