8,883 responses from 423 respondents to 21 items.
| Description | Academic buoyancy scale, Chinese EFL learners, CFA sample (21-item retained subset), 1-5 Likert, N=423 |
|---|---|
| Reference | Zeng, T., & Zhong, K. (2025). Overlap or breakthrough? Exploration of the academic buoyancy structure in Chinese EFL learners. PLOS ONE. |
| DOI | 10.1371/journal.pone.0318347 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0318347 |
| Responses | 8,883 |
|---|---|
| Respondents | 423 |
| Items | 21 |
| Response categories | 5 |
| Responses per respondent | 21 |
| Responses per item | 423 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| 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("zeng_2025_academic_buoyancy_cfa")
# Python
pip install irw
import irw
df = irw.fetch("zeng_2025_academic_buoyancy_cfa")
| 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 |