Individual Work Performance Questionnaire Scores for 833 Chinese Workers

A 2026 validation study provides psychometric data from 833 Chinese workers using the Individual Work Performance Questionnaire (IWPQ). The dataset includes confirmatory factor analysis results, measurement invariance tests across genders, and criterion-related validity assessments against Seligman's PERMA framework. It was authored by Guihong Tang and shared under a CC-BY-4.0 license.

Use Cases

• Validate psychometric models based on reported factor loadings, reliability, and convergent validity metrics.
• Assess measurement invariance across genders using the multigroup confirmatory factor analysis results.
• Investigate the correlation between overall work performance and accomplishment as measured by the PERMA framework.
• Benchmark the IWPQ's performance within a Chinese organizational context.

Strengths

• Includes data from 833 Chinese workers, providing a substantial sample size for validation.
• Reports strong psychometric properties, including factor loadings surpassing 0.70 and high reliability (CR > 0.70, AVE > 0.50).
• Demonstrates measurement invariance across genders, validated by RMSEA values meeting criteria for both male and female cohorts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

Guihong Tang via figshare

Collection Method

Survey data collected from Chinese workers, analyzed using confirmatory factor analysis (AMOS) and structural equation modeling (SmartPLS).

Freshness

Last updated 2026-05-15 17:38:42; freshness should be verified.

Geography

China