liu_2025_nlgz
3,516 responses from 879 respondents to 4 items.
About this table
| Description | 4-item scale, source prefix NLGZ (1-5 Likert), same sample as liu_2025_teacher_support (n=879) |
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| Reference | Liu, Yan & Li (2025). Physical education teachers' competence support and middle school students' participation in sports. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0314338 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0314338 |
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Size and shape
| Responses | 3,516 |
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| Respondents | 879 |
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| Items | 4 |
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| Response categories | 5 |
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| Responses per respondent | 4 |
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| Responses per item | 879 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Child (<18y) |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| sample | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | chi |
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Item text
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) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_agecov_gendercov_gradeiditemresp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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