Model Fit: Survey Data on Educator Retention in Guangdong Province, 568 Respondents

Zhengda Yao's dataset contains survey responses from 568 educators in Guangdong Province, China, used to study employee retention factors. The data was analyzed using Partial Least Squares Structural Equation Modeling and Multi-Group Analysis. The dataset was last updated on May 18, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Predicting employee retention based on survey-measured push and pull factors.
• Analyzing the moderating effect of engagement on the relationship between training and retention.
• Comparing the impact of job burnout on retention between public and private school educators.
• Modeling the structural relationships between job dissatisfaction, compensation, empowerment, and retention outcomes.

Strengths

• Dataset is based on a specific survey of 568 educators, providing a concrete sample size.
• Analysis employs established statistical methods (PLS-SEM and Multi-Group Analysis) as described.
• Clear focus on a defined theoretical framework (Push-Pull) and geographic region (Guangdong Province).

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and occupational context (educators in Guangdong), which may limit generalizability.

Provenance

Source

Zhengda Yao via figshare

Collection Method

Survey data collection from educators.

Freshness

Last updated 2026-05-18 17:30:22; freshness should be verified.

Geography

Guangdong Province, China