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Work & Stress
An International Journal of Work, Health & Organisations
Volume 21, 2007 - Issue 3
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Original Articles

Warr's scale of job-related affective well-being: A longitudinal examination of its structure and relationships with work characteristics

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Pages 197-219 | Published online: 06 Nov 2007
 

Abstract

The aims of this 3-year follow-up study among Finnish managers (n=615) were first, to test the theoretically-based structure of the job-related affective well-being scale (Warr, Citation1990b), and second, to examine the linear and curvilinear longitudinal associations between work characteristics and job-related affective well-being. Confirmatory factor analysis showed that the hypothesized four-factor model best described the structure of the job-related affective well-being scale; that is, the scale included four interrelated factors of job-related anxiety, comfort, depression, and enthusiasm at both measurement times. Structural equation modelling showed that high feelings of comfort at work were longitudinally associated with a positive perception of the supportiveness of the organizational climate, after controlling for sense of coherence. Conversely, the work characteristics included in this study (job control and supportive organizational climate) did not serve as antecedents of job-related affective well-being during the follow-up. In addition, there were no cross-sectional or longitudinal curvilinear associations between work characteristics and job-related affective well-being: associations were found to be linear. We conclude that (a) Warr's scale of job-related affective well-being is best conceptualized as consisting of four interrelated dimensions whose factor structure is (b) highly stable across a 3-year time interval.

Acknowledgements

This study was supported by the Finnish Work Environment Fund (105363). The Union of Technical Employees and the Union of Professional Engineers financially supported the data collection. We are grateful to Asko Tolvanen and Kaisa Aunola for their help and comments concerning the data analysis.

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