Harman Single Factor: Individual Work Performance Questionnaire Validation Data

833 Chinese workers completed the Individual Work Performance Questionnaire (IWPQ) in a validation study. The data supports confirmatory factor analysis, measurement invariance testing across genders, and structural equation modeling. Author Guihong Tang published the dataset on figshare under a CC-BY-4.0 license.

Use Cases

• Validate the three-factor structure of the IWPQ based on the described confirmatory factor analysis.
• Assess measurement invariance across gender subgroups based on the multigroup confirmatory factor analysis mentioned.
• Examine the criterion-related validity between work performance and accomplishment using structural equation modeling.
• Replicate psychometric property checks, including factor loadings, reliability, and convergent validity, as detailed in the study.

Strengths

• Dataset is based on a sample of 833 Chinese workers, providing a substantial sample size for validation.
• Psychometric properties are reported as robust, with factor loadings surpassing 0.70 and high reliability (CR > 0.70).
• Measurement invariance was validated across genders, indicating stability of the instrument's structure.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.
• The dataset is very small at 9.5 KB, indicating limited scope and likely a summary or analysis file rather than raw responses.

Provenance

Source

figshare

Collection Method

Survey validation study using the Individual Work Performance Questionnaire.

Freshness

Last updated 2026-05-15 17:38:39; freshness should be verified.

Geography

China