Path Coefficient Estimates for Teacher Resilience in Chinese Higher Education (N=712)

Chinese higher education institutions provide the context for this dataset of path coefficient estimation results from a structural equation model. The data, comprising 712 college teachers' multi-temporal tracking responses, was used to test a chain-mediated theoretical framework linking transformational leadership to professional resilience. Ziliang Li authored the dataset, which was last updated on May 29, 2026.

Use Cases

• Validate structural equation models based on reported path coefficients (e.g., β=0.72) and confidence intervals.
• Analyze the mediating roles of organizational support and work engagement in leadership-resilience relationships.
• Benchmark effect sizes for transformational leadership's impact on psychological capital in higher education.
• Replicate the study's bias-corrected Bootstrap structural equation modeling test with the provided statistical results.

Strengths

• Includes specific statistical results, such as total effect β=0.72 with a 95% CI of [0.63, 0.81].
• Based on a sample of 712 college teachers, providing a basis for statistical inference.
• Uses multi-temporal tracking data, which suggests a longitudinal or repeated-measures design.
• Released under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• The 5.5 KB file size indicates a very limited scope, likely containing only summary statistics rather than raw survey data.

Provenance

Source

Ziliang Li via figshare.

Collection Method

Bias-corrected Bootstrap structural equation modeling applied to multi-temporal tracking survey data from college teachers.

Freshness

Last updated 2026-05-29 17:29:29; freshness should be verified.

Geography

Likely China, based on the description's focus on Chinese higher education institutions.