3,152 responses from 197 respondents to 16 items.
| Description | 16-item Psychological and Learning Environment scale from an academic-administrative perspective (PLES-AA), 4-point Likert, across 4 dimensions (policy, program design, curriculum/instruction, capacity), from Chinese tertiary-education administrators |
|---|---|
| Reference | Xu X, Kolletar-Zhu K, Liu J, Zhang Y, Cai N (2022) Development and validation of a PLE scale from academic administrative perspective (PLES-AA) in tertiary education: A pilot study in China. PLoS ONE 17(8): e0272214. |
| DOI | 10.1371/journal.pone.0272214 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272214.s002&type=supplementary |
| Responses | 3,152 |
|---|---|
| Respondents | 197 |
| Items | 16 |
| Response categories | 4 |
| Responses per respondent | 16 |
| Responses per item | 197 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| 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("xu_2022_ples_aa")
# Python
pip install irw
import irw
df = irw.fetch("xu_2022_ples_aa")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |