600 responses from 75 respondents to 8 items.
| Description | Ratings of 8 named disaster-information channels (TV/Internet/WA-SMS/Radio/Mosque-Church/Surau/community leader/word of mouth), N=75 |
|---|---|
| Reference | Fadhliah, et al. (2022). Comparison of disaster information from various media in strengthening ecological communication during & after natural disasters. PLOS ONE. |
| DOI | 10.1371/journal.pone.0264089 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264089 |
| Responses | 600 |
|---|---|
| Respondents | 75 |
| Items | 8 |
| Response categories | 4 |
| Responses per respondent | 8 |
| Responses per item | 75 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Program-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fadhliah_2022_disaster_media_trust")
# Python
pip install irw
import irw
df = irw.fetch("fadhliah_2022_disaster_media_trust")
| 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 |