IWPQ: Individual Work Performance Questionnaire Validation Data for Chinese Workers

Fornell-Larcker criterion values from a validation study of the Individual Work Performance Questionnaire (IWPQ). The dataset includes psychometric analysis results from a sample of 833 Chinese workers, authored by Guihong Tang and last updated in May 2026. It contains model fit statistics, factor loadings, and validity correlations.

Use Cases

• Assessing the psychometric properties of work performance surveys based on reported factor loadings and reliability metrics.
• Comparing measurement models for work performance based on the described three-factor, higher-order, and bi-order models.
• Evaluating measurement invariance across demographic groups based on the multigroup confirmatory factor analysis for gender.
• Investigating criterion-related validity for performance assessments based on the correlation with Seligman's PERMA accomplishment measure.

Strengths

• Sample size of 833 Chinese workers provides a substantial basis for validation.
• Reported psychometric properties include factor loadings >0.70, CR >0.70, AVE >0.50, and RMSEA <0.05.
• Analysis includes multiple validation steps: CFA, measurement invariance, and structural equation modeling.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope, likely containing summary statistics rather than raw survey responses.

Provenance

Source

figshare, author Guihong Tang.

Collection Method

Data likely generated from confirmatory factor analysis and structural equation modeling of survey responses.

Freshness

Last updated 2026-05-15 17:38:44; freshness should be verified.

Geography

China