Measuring self-rated productivity: factor structure and variance component analysis of the Health and Work Questionnaire

J Occup Environ Med. 2014 Dec;56(12):1302-7. doi: 10.1097/JOM.0000000000000267.

Abstract

Objective: To test the factor structure and variance components of the productivity subscales of the Health and Work Questionnaire (HWQ).

Methods: A total of 272 individuals from one company answered the HWQ scale, including three dimensions (efficiency, quality, and quantity) that the respondent rated from three perspectives: their own, their supervisor's, and their coworkers'. A confirmatory factor analysis was performed, and common and unique variance components evaluated.

Results: A common factor explained 81% of the variance (reliability 0.95). All dimensions and rater perspectives contributed with unique variance. The final model provided a perfect fit to the data.

Conclusions: Efficiency, quality, and quantity and three rater perspectives are valid parts of the self-rated productivity measurement model, but with a large common factor. Thus, the HWQ can be analyzed either as one factor or by extracting the unique variance for each subdimension.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Analysis of Variance
  • Efficiency*
  • Evaluation Studies as Topic
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical*
  • Occupational Health
  • Self-Assessment
  • Surveys and Questionnaires*