IWPQ Validation: Psychometric Properties from 833 Chinese Workers

The Individual Work Performance Questionnaire (IWPQ) validation dataset contains psychometric analysis results from a study of 833 Chinese workers. Author Guihong Tang published the data on figshare under a CC-BY-4.0 license, with the last update recorded as 2026-05-15. The study assessed the IWPQ's factor structure, reliability, measurement invariance, and criterion validity.

Use Cases

• Validate the three-factor structure of work performance based on confirmatory factor analysis results.
• Assess measurement invariance across gender subgroups based on multigroup confirmatory factor analysis.
• Examine criterion-related validity based on correlations with Seligman's PERMA accomplishment measure.
• Benchmark psychometric properties like factor loadings, reliability, and convergent validity for survey development.

Strengths

• Dataset is based on a sample of 833 Chinese workers, providing a substantial base for analysis.
• The study reports robust psychometric properties, including factor loadings surpassing 0.70 and high reliability (CR > 0.70, AVE > 0.50).
• Measurement invariance was validated across genders, supporting the stability of the instrument.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical needs.
• The dataset is very small at 5.5 KB, indicating it contains summary statistics or model outputs rather than raw survey responses.

Provenance

Source

Guihong Tang

Collection Method

Survey validation study using confirmatory factor analysis and structural equation modeling.

Freshness

Last updated 2026-05-15 17:38:43; freshness should be verified.

Geography

China