19,770 comparisons among 100 agents.
| Description | Priority for government response |
|---|---|
| Reference | Friedman, Jeffrey, 2018, "Replication Data for: Priorities for Preventive Action: Explaining Americans' Divergent Reactions to 100 Public Risks", https://doi.org/10.7910/DVN/ZSJA25, Harvard Dataverse, V1, UNF:6:OJ7nZP2bzoQZoyzx8JvOFg== [fileUNF] Friedman, J. A. (2019). Priorities for preventive action: Explaining Americans’ divergent reactions to 100 public risks. American Journal of Political Science, 63(1), 181-196. |
| DOI | 10.1111/ajps.12400 |
| Licence | CC BY 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZSJA25 |
| Comparisons | 19,770 |
|---|---|
| Agents | 100 |
agent_aagent_braterwinner
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("friedman2019_risk_priority", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("friedman2019_risk_priority", source="comp")
@article{Friedman_2018, title={Priorities for Preventive Action: Explaining Americans’ Divergent Reactions to 100 Public Risks}, volume={63}, ISSN={1540-5907}, url={http://dx.doi.org/10.1111/ajps.12400}, DOI={10.1111/ajps.12400}, number={1}, journal={American Journal of Political Science}, publisher={Wiley}, author={Friedman, Jeffrey A.}, year={2018}, month=oct, pages={181–196} }
| IRW version | v439 |
|---|---|
| Redivis dataset | irw_competitions v3.2 |
| Redivis dataset DOI | 10.57761/ca6t-vb73 |
| Manifest pin for this IRW version | v3.2 |
| Metadata source | irw_meta v27.0 |