abukhalaf_2025_disaster_prep
2,444 responses from 816 respondents to 3 items.
About this table
| Description | 3-item disaster-preparedness-intention scale (11-point 0-1 in 0.1 increments), same sample as abukhalaf_2025_housing_risk |
|---|
| 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 |
|---|
Size and shape
| Responses | 2,444 |
|---|
| Respondents | 816 |
|---|
| Items | 3 |
|---|
| Response categories | 11 |
|---|
| Responses per respondent | 2.995 |
|---|
| Responses per item | 814.667 |
|---|
| Density | 0.998 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| sample | Internet-based |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Storm preparedness intention scale (researcher-developed, hurricane preparedness questionnaire) |
|---|
| Mean words per item | 4.333 |
|---|
| Mean characters per item | 23.333 |
|---|
| Mean characters per response | 2 |
|---|
| Flesch-Kincaid grade level | 62.872 |
|---|
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("abukhalaf_2025_disaster_prep")
# Python
pip install irw
import irw
df = irw.fetch("abukhalaf_2025_disaster_prep")
Version and provenance
| 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 |
|---|