3,516 responses from 879 respondents to 4 items.
One of 7 tables from the same source; this one is the nlgz table. The others are listed under Related tables.
| Description | 4-item scale, source prefix NLGZ (1-5 Likert), same sample as liu_2025_teacher_support (n=879) |
|---|---|
| Reference | Liu, Yan & Li (2025). Physical education teachers' competence support and middle school students' participation in sports. PLOS ONE. |
| DOI | 10.1371/journal.pone.0314338 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0314338 |
| Responses | 3,516 |
|---|---|
| Respondents | 879 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 879 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Perceived competence scale (4 items, adopted from Guan, Xiang, Land & Hamilton, 2023) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_grade | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("liu_2025_nlgz")
# Python
pip install irw
import irw
df = irw.fetch("liu_2025_nlgz")
@article{Liu_2025, title={The relationship between physical education teachers’ competence support and middle school students’ participation in sports: A chain mediation model of perceived competence and exercise persistence}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0314338}, DOI={10.1371/journal.pone.0314338}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Liu, Yubo and Yan, Jianhua and Li, Jing}, editor={Tilga, Henri}, year={2025}, month=Jan, pages={e0314338} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |