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      The Measurement of State Work Engagement : A Multilevel Factor Analytic Study

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          Abstract

          While diary studies have gained in popularity, the validity of the measures utilized in such studies remains an underresearched issue. This study examines the factor structure of the Utrecht Work Engagement Scale (UWES) on both between-person (trait) and within-person (state) levels. A multilevel confirmatory factor analysis was performed to confirm that the between-level factor structure also operates on the within-level. Data from 271 employees who filled in a state version of the UWES on five consecutive days were used to perform the analysis. Results showed that the UWES can be used to measure both trait and state work engagement. The three-factor multilevel model appeared to best fit the data. Implications for future research on engagement are discussed.

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          Reciprocal relationships between job resources, personal resources, and work engagement

          Despoina Xanthopoulou, Arnold B. Bakker, Evangelia Demerouti … (2009)
          Article 0 comments Cited 387 times – based on 0 reviews     Review now
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            Recovery, work engagement, and proactive behavior: a new look at the interface between nonwork and work.

            Sabine Sonnentag (2003)
            This study examined work-related outcomes of recovery during leisure time. A total of 147 employees completed a questionnaire and a daily survey over a period of 5 consecutive work days. Multilevel analyses showed that day-level recovery was positively related to day-level work engagement and day-level proactive behavior (personal initiative, pursuit of learning) during the subsequent work day. The data suggest considerable daily fluctuations in behavior and attitudes at work, with evidence that these are related to prior experience and opportunity for recovery in the nonwork domain.
            Article 0 comments Cited 215 times – based on 0 reviews     Review now
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              Some Guidelines Concerning the Modeling of Traits and Abilities in Test Construction

              Karl Schweizer (2010)
              Article 0 comments Cited 153 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (publisher-id): jpa
                Title: European Journal of Psychological Assessment
                Publisher: Hogrefe Publishing
                ISSN (Print): 1015-5759
                ISSN (Electronic): 2151-2426
                Publication date (Print): December 2011
                Publication date (Electronic): 2012
                Volume: 28
                Issue: 4
                Pages: 305-312
                Affiliations
                [ 1 ] Department of Work and Organizational Psychology, Erasmus University Rotterdam, The Netherlands
                [ 2 ] Department of Industrial Engineering and Innovation Sciences, Human Performance Management Group, Eindhoven University of Technology, The Netherlands
                [ 3 ] Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Norway
                Author notes
                Kimberley Breevaart, Erasmus University Rotterdam, Institute of Psychology, Woudestein, T12–46, P. O. Box 1738, 3000 DR Rotterdam, The Netherlands, +31 10 408 9034, +31 10 408 9009, breevaart@ 123456fsw.eur.nl
                Article
                Apa ID: jpa_28_4_305
                DOI: 10.1027/1015-5759/a000111
                SO-VID: c0243d0d-bd5d-49d1-bc3a-0d91dea06c57
                Product
                Self URI (journal-page): https://econtent.hogrefe.com/loi/jpa
                Categories
                Subject: Original Article

                ScienceOpen disciplines: Assessment, Evaluation & Research methods,Psychology,General behavioral science
                Keywords: multilevel factor analysis,state work engagement,trait work engagement,employee engagement
                Data availability:
                ScienceOpen disciplines: Assessment, Evaluation & Research methods, Psychology, General behavioral science
                Keywords: multilevel factor analysis, state work engagement, trait work engagement, employee engagement

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