Chinese K-12 Physical Education Teacher and Student Data for Multilevel Analysis

A multilevel dataset from a 2026 study covering 123 K-12 physical education teachers and 3,446 of their students across three major macro-regions in China. The data includes core variables on teacher digital empowerment, teacher and student embodied dilemmas, teacher embodied TPACK, and student learning outcomes. It was created by Kai Ding and is intended for applying multilevel structural equation modeling and Bayesian estimation methods.

Use Cases

• Modeling the cross-level mediating role of teacher TPACK based on the described 'digital empowerment-technological alienation-learning outcomes' pathway.
• Analyzing the relationship between teacher digital empowerment and student outcomes based on the described variables.
• Investigating the impact of teacher and student embodied dilemmas on learning outcomes based on the described constructs.
• Applying multilevel structural equation modeling to educational data based on the dataset's nested structure.

Strengths

• Dataset covers 123 teachers and 3,446 students, providing a substantial sample for analysis.
• Data underwent reliability and validity testing and processing, as stated in the description.
• Explicitly structured for multilevel analysis, supporting advanced statistical methods.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to its collection from three Chinese macro-regions.

Provenance

Source

Kai Ding via figshare.

Collection Method

Collected from a nested sample covering three major macro-regions in China.

Time Range

Temporal coverage is not explicitly stated.

Freshness

Last updated 2026-04-14 14:36:53; freshness should be verified.

Geography

Data covers three major macro-regions in China.