title: Measuring self-rated productivity: factor structure and variance component analysis of the Health and Work Questionnaire.
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.
authors.affiliation: 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.
authors.forename: Ulrica
authors.initials: U
authors.lastname: von Thiele Schwarz
authors.forename: Anders
authors.initials: A
authors.lastname: Sjöberg
authors.forename: Henna
authors.initials: H
authors.lastname: Hasson
authors.forename: Susanne
authors.initials: S
authors.lastname: Tafvelin
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D004526:Efficiency; D005069:Evaluation Studies as Topic; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D016272:Occupational Health; D012647:Self-Assessment; D011795:Surveys and Questionnaires