1,514 responses from 303 respondents to 5 items.
| Description | WHO-5 Well-Being Index (5 items), Chinese college students |
|---|---|
| Reference | Hui Z, Wang X, Teng Z, Zou W, Wang J, Ji P, Wang M (2024). The Chinese version of the general benefit finding scale (GBFS): Psychometric properties in a sample of college students. PLOS ONE, 19(5), e0300064. https://doi.org/10.1371/journal.pone.0300064 |
| DOI | 10.1371/journal.pone.0300064 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0300064.s002 |
| Responses | 1,514 |
|---|---|
| Respondents | 303 |
| Items | 5 |
| Response categories | 6 |
| Responses per respondent | 4.997 |
| Responses per item | 302.800 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hui_2024_who5")
# Python
pip install irw
import irw
df = irw.fetch("hui_2024_who5")
| 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 |