Path Coefficient: Survey Data on Educator Retention Factors in Guangdong Province

568 survey responses from educators in Guangdong Province were collected to examine factors affecting employee retention. The dataset was created by Zhengda Yao and last updated on 2026-05-18. It supports analysis using Partial Least Squares Structural Equation Modeling and Multi-Group Analysis.

Use Cases

• Modeling the impact of pull factors like training and compensation on retention based on the described framework.
• Analyzing the negative influence of push factors such as job burnout and peer turnover on employee retention.
• Testing the moderating effect of engagement on the relationship between training and development and retention.
• Conducting multi-group analysis to compare retention factor effects between public and private schools.

Strengths

• Dataset size is 5.5 KB, indicating a focused and manageable scope for analysis.
• Based on a specific sample of 568 educators, providing a concrete population for study.
• Explicitly tests a theoretical framework (Push-Pull) and moderation, offering a structured analytical approach.

Limitations

• Row count is unknown, which may limit suitability assessment for certain statistical methods.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and occupational bias, being limited to educators in Guangdong Province.

Provenance

Source

Zhengda Yao via figshare.

Collection Method

Survey data collection.

Freshness

Last updated 2026-05-18 17:30:23; freshness should be verified.

Geography

Guangdong Province, China.