19,920 comparisons among 100 agents.
One of 8 tables from the same source; this one is the disaster table. The others are listed under Related tables.
| Description | Risk of disaster |
|---|---|
| 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 | 19,920 |
|---|---|
| Agents | 100 |
agent_aagent_braterwinner
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("friedman2019_risk_disaster", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("friedman2019_risk_disaster", source="comp")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch friedman2019_risk_disaster, clear 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 | v712 |
|---|---|
| Redivis dataset | irw_competitions v7.1 |
| Redivis dataset DOI | 10.57761/3r1w-t660 |
| Manifest pin for this IRW version | v7.1 |
| Metadata source | irw_meta v68.0 |