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Measuring Self-Rated Productivity: Factor Structure and Variance Component Analysis of the Health and Work Questionnaire

von Thiele Schwarz, Ulrica PhD; Sjöberg, Anders PhD; Hasson, Henna PhD; Tafvelin, Susanne PhD

Journal of Occupational and Environmental Medicine: December 2014 - Volume 56 - Issue 12 - p 1302–1307
doi: 10.1097/JOM.0000000000000267
Original Articles

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.

From 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.

Address correspondence to: Ulrica von Thiele Schwarz, PhD, Karolinska Institutet, Medical Management Centre, LIME, Sweden, Tomtebodavägen 18A, 17177 Stockholm, Sweden (Ulrica.schwarz@ki.se).

The data collection was supported by the occupational health company AB Previa. The writing of this article was supported by a grant from AFA Insurance (Ref. No. 090043).

The authors declare no conflicts of interest.

Copyright © 2014 by the American College of Occupational and Environmental Medicine