10,518 responses from 816 respondents to 13 items.
| Description | 13-item hurricane risk-perception scale (5-point 0/.25/.5/.75/1 Likert-as-percentage responses, per the paper's own coding), from a US survey of hurricane-prone-area residents |
|---|---|
| Reference | Abukhalaf A (2025) Exploring the relationship between housing conditions and risk perception in a disaster context. PLoS ONE. |
| DOI | 10.1371/journal.pone.0310665 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0310665.s001 |
| Responses | 10,518 |
|---|---|
| Respondents | 816 |
| Items | 13 |
| Response categories | 5 |
| Responses per respondent | 12.890 |
| Responses per item | 809.077 |
| Density | 0.992 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | eng |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("abukhalaf_2025_housing_risk")
# Python
pip install irw
import irw
df = irw.fetch("abukhalaf_2025_housing_risk")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |