IWPQ Validation Study: Confirmatory Factor Analysis Values for Chinese Workers

A 2026 validation study of the Individual Work Performance Questionnaire (IWPQ) involved a sample of 833 Chinese workers. The dataset, shared by Guihong Tang on figshare, contains confirmatory factor analysis values evaluating a three-factor model of work performance. It includes metrics such as factor loadings, reliability, and model fit indices.

Use Cases

• Validate psychometric models based on confirmatory factor analysis values for task performance, contextual performance, and counterproductive work behavior.
• Assess measurement invariance across gender subgroups based on multigroup confirmatory factor analysis results.
• Examine criterion-related validity by analyzing the correlation between overall work performance and accomplishment as measured by Seligman's PERMA framework.

Strengths

• Sample size of 833 Chinese workers provides a substantial basis for validation.
• Reported psychometric properties include factor loadings >0.70, high reliability (CR >0.70), and convergent validity (AVE >0.50).
• Model fit indices meet established criteria (e.g., RMSEA <0.05).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is specific to Chinese organizational contexts, which may limit generalizability.

Provenance

Source

Guihong Tang

Collection Method

Survey data from 833 Chinese workers, analyzed via confirmatory factor analysis and structural equation modeling.

Freshness

Last updated 2026-05-15 17:38:41; freshness should be verified.

Geography

China