16,180 responses from 952 respondents to 17 items.
| Description | Individual earthquake resilience questionnaire (17 items across 4 dimensions: health status, mental resilience, social adaptation, disaster response capacity) |
|---|---|
| Reference | Jiang N, Cheng J, Ni Z, Ye Y, Hu R, Jiang X (2021). Developing a new individual earthquake resilience questionnaire: A reliability and validity test. PLOS ONE, 16(1), e0245662. https://doi.org/10.1371/journal.pone.0245662 |
| DOI | 10.1371/journal.pone.0245662 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0245662.s005 |
| Responses | 16,180 |
|---|---|
| Respondents | 952 |
| Items | 17 |
| Response categories | 5 |
| Responses per respondent | 16.996 |
| Responses per item | 951.765 |
| Density | 1.000 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Individual resilience questionnaire based on earthquake disaster from the perspective of nursing |
|---|---|
| Mean words per item | 14.941 |
| Mean characters per item | 88.588 |
| Mean characters per response | 4.600 |
| Flesch-Kincaid grade level | 8.442 |
iditemitemcov_dimensionresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jiang_2021_resilience")
# Python
pip install irw
import irw
df = irw.fetch("jiang_2021_resilience")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |