15,340 responses from 1,534 respondents to 10 items.
| Description | Emotion Regulation Questionnaire (ERQ-8 validation sample), Chinese university students |
|---|---|
| Reference | Zhao M, Kuan G, Zhou K, Musa RM, Majeed APPA, Kueh YC (2024). Psychometric properties and gender invariance of the 8-item emotion regulation questionnaire (ERQ-8) among Chinese university students. PLOS ONE, 19(1), e0296035. https://doi.org/10.1371/journal.pone.0296035 |
| DOI | 10.1371/journal.pone.0296035 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0296035.s001 |
| Responses | 15,340 |
|---|---|
| Respondents | 1,534 |
| Items | 10 |
| Response categories | 7 |
| Responses per respondent | 10 |
| Responses per item | 1,534 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational, Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zhao_2024_erq")
# Python
pip install irw
import irw
df = irw.fetch("zhao_2024_erq")
| 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 |