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Measuring Self-Rated Productivity Factor Structure and Variance Component Analysis of the Health and Work Questionnaire
Karolinska Inst, Med Management Ctr, Dept Learning Informat Management & Eth, S-17177 Stockholm, Sweden.;Stockholm Univ, Dept Psychol, Stockholm, Sweden..ORCID iD: 0000-0002-4771-8349
Stockholm Univ, Dept Psychol, Stockholm, Sweden..
Karolinska Inst, Med Management Ctr, Dept Learning Informat Management & Eth, S-17177 Stockholm, Sweden.;Stockholm Cty Council, Ctr Epidemiol & Community Med, Stockholm, Sweden..
Karolinska Inst, Med Management Ctr, Dept Learning Informat Management & Eth, S-17177 Stockholm, Sweden.;Umea Univ, Dept Psychol, S-90187 Umea, Sweden..
2014 (English)In: Journal of Occupational and Environmental Medicine, ISSN 1076-2752, E-ISSN 1536-5948, Vol. 56, no 12, p. 1302-1307Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS , 2014. Vol. 56, no 12, p. 1302-1307
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Health Sciences
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URN: urn:nbn:se:mdh:diva-45771DOI: 10.1097/JOM.0000000000000267ISI: 000346696400012PubMedID: 25479301OAI: oai:DiVA.org:mdh-45771DiVA, id: diva2:1364989
Available from: 2019-10-23 Created: 2019-10-23 Last updated: 2019-10-23Bibliographically approved

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von Thiele Schwarz, Ulrica

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