Measuring self-rated productivity: factor structure and variance component analysis of the Health and Work
Ulrica von Thiele Schwarz1, Anders Sjöberg, Henna Hasson
1From the Medical Management Centre (Drs von Thiele Schwarz, Hasson, and Tafvelin), Department of Learning, Informatics, Management and Ethics, Karolinska Institutet; Department of Psychology (Drs von Thiele Schwarz and Sjöberg), Stockholm University; Centre for Epidemiology and Community Medicine (Dr Hasson), Stockholm County Council; and Department of Psychology (Dr Tafvelin), Umeå University, Sweden.
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.
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