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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. Int J Occup Med Environ Health 2018;31(4):429-443. [ABSTRACT FROM AUTHOR]

The job-related affective well-being measure developed by Warr (1990, J. Occup. Psychol., 63, 193) has been a frequently used tool estimating affect in the work context. The main purpose of this study was to test the measurement invariance of the instrument across cultures and genders. The model with four correlated factors, representing anxiety, comfort, depression, and enthusiasm, had a superior fit compared to alternative models in a sample of 807 employees and was used as the basis of measurement invariance tests. The results of multigroup confirmatory factor analysis showed partial metric invariance across samples of employees from the Netherlands ( n = 254), Poland ( n = 436), and Spain ( n = 207), as well as full scalar invariance across genders (female n = 323; male n = 466). This indicates that cross-cultural comparisons of relationships between job-related affect as measured with this instrument and other constructs can be meaningful. Additionally, mean scores on the scales of the instrument can be meaningfully compared across genders, but not across countries. Practitioner points Warr's job-related affective well-being measure is a valid and reliable operationalization of four correlated affective dimensions: anxiety, comfort, depression, and enthusiasm., Mean scores on these dimensions can be meaningfully compared across genders, but comparisons of mean scores between countries should be interpreted with caution. [ABSTRACT FROM AUTHOR]

The intensive longitudinal studies (ILS) has recently gained prominence as one of the most developing and promising approaches in psychological research. It is suitable for studying intraindividual dynamics, since it collects many repeated measurements for multiple persons. However many existing psychometric scales that are suitable for cross-sectional studies cannot be used successfully in ILS. That is why it would be advisable to develop them. This article presents potential solutions and future directions that may be helpful in developing such tools. It focuses on and discusses three issues: (1) appropriate tool length, so that the person completing them multiple times does not feel too tired; (2) parallel forms of questionnaires to reduce the problem of remembering previous answers; (3) complementary types of measure, that would allow approaching certain characteristics in slightly different ways. • Appropriate measures suitable for intensive longitudinal studies. • How many items should be selected for diary studies and experience sampling method. • Parallel forms of measures in intensive longitudinal studies. • Questionnaires for measuring the state aspects of trait-like variables. [ABSTRACT FROM AUTHOR]