The factorial structure of job-related affective well-being: Polish adaptation of the Warr’s measure
Journal Title: International Journal of Occupational Medicine and Environmental Health - Year 2018, Vol 31, Issue 4
Abstract
Objectives: The first aim of the study reported in this article was to test the factorial structure of job-related affect in a Polish sample. The second aim was to develop the Polish adaptation of the Warr’s job-related affective well-being measure published in 1990, which is designed to assess 4 types of affect at work: anxiety, comfort, depression, enthusiasm. Material and methods: A longitudinal study design with 2 measurement times was used for verifying the psychometric properties of the Polish version of the measure. The final sample consisted of 254 Polish employees from different professions. Participants were asked to fill in a set of questionnaires consisting of measures capturing job-related affective well-being, mood, and turnover intention. Results: The first step of analysis was to test the theoretically-based structure of the job-related affective well-being measure in a Polish sample. The confirmatory factor analysis revealed that a 4-factor model best describes the structure of the measure in comparison to 5 alternative models. Next, reliability of this measure was assessed. All scales achieved good internal consistency and acceptable test-retest reliability after 2 weeks. Finally, the convergent and discriminant validity as well as the criterion and predictive validity of all job-related affective well-being scales was confirmed, based on correlations between job-related affect and mood as well as turnover intention. Conclusions: The results suggest that the Polish adaptation of Warr’s job-related affective well-being measure can be used by scientists as well as by practitioners who aim at assessing 4 types of affective well-being at a work context.
Authors and Affiliations
Emilia Mielniczuk, Mariola Łaguna
Keywords
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- EP ID EP359530
- DOI 10.13075/ijomeh.1896.01178
- Views 78
- Downloads 0
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