Evidence map›Paper›PMID 42548703›Full record

ArticleFrontiers in psychology2026

Psychometric validation of a digital literacy scale for physical education teachers in China.

Jiaheng Wang, Xiaolin Zhang, Qingju Shao, Xuefang Li, Yi Yang, Jingtao Wu, Feng Xue

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiaheng WangSchool of Physical Education, Sichuan Normal University, Chengdu, China.
Xiaolin ZhangSchool of Physical Education, Sichuan Normal University, Chengdu, China.
Qingju ShaoSchool of Physical Education, Sichuan Normal University, Chengdu, China.
Xuefang LiSchool of Marxism, Chongqing Normal University, Chongqing, China.
Yi YangSchool of Humanities and Law, Chengdu University of Technology, Chengdu, China.
Jingtao WuSchool of Physical Education, Leshan Normal University, Leshan, China.
Feng XueSchool of Physical Education, Sichuan Normal University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Teacher digital literacy is increasingly important in technology-supported education, but subject-specific measurement tools for physical education remain limited. This study aimed to develop and psychometrically validate a digital literacy scale for physical education teachers in China. Methods: A cross-sectional survey was conducted with 836 physical education teachers. Guided by educator digital competence frameworks and movement-oriented teaching characteristics, an initial 25-item instrument was developed. Item analysis, reliability testing, exploratory factor analysis, confirmatory factor analysis, convergent validity analysis, and one-way analysis of variance were used to examine item quality, factor structure, reliability, construct validity, and differences across school levels. Results: The analyses supported a final 23-item, five-factor structure covering digital instructional design and implementation, digital resource development and integration, digital assessment and feedback, digital interaction and student empowerment, and digital professional development. Cronbach's alpha coefficients ranged from 0.923 to 0.968. Exploratory factor analysis explained 85.554% of the total variance. Confirmatory factor analysis showed acceptable model fit, with CFI = 0.958, TLI = 0.952, and RMSEA = 0.078. Composite reliability and average variance extracted values also supported convergent validity. No significant differences were found across school levels. Discussion: The scale provides a reliable and valid subject-specific tool for assessing physical education teachers' perceived digital literacy. It may support future research, teacher education, needs assessment, and professional development in technology-supported physical education.

Indexed as

digital literacyeducational psychologyphysical education teacherspsychometric validationscale developmentteacher digital competencetechnology-supported teaching

Identifiers

PMID42548703
PMCPMC13429488

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.