Investigation of Psychometric Properties of Utrecht Work Engagement Scale in the Turkish Principals
Author(s):
Conference:
ECER 2014
Format:
Paper

Session Information

26 SES 06 A, Engagement, Shadowing and Action Research

Paper Session

Time:
2014-09-03
15:30-17:00
Room:
B029 Anfiteatro
Chair:
Pierre Tulowitzki

Contribution

Psychology has traditionally focused on psychological deficits and disability until recently (Carr, 2004). Therefore, psychology has been criticized as primarily dedicated to addressing mental illness rather than mental ‘‘wellness.’’ (Bakker, Schaufeli, Leiter, & Taris, 2008). However, nowadays positive psychology perspective attracted most of the scholars’ attention such that researchers from different disciplines try to focus and make research on employees' positive emotions and behaviors rather than negative ones. This new branch of psychology is primarily concerned with the scientific study of human strengths and happiness (Carr, 2004; Seligman & Csikszentmihalyi, 2000). According this school of view, we must bring the building of strength to the forefront in the treatment and prevention of mental illness (Seligman, 2002) not the deficits and illness. Viewed from this “positive” perspective, it is not surprising that burnout research seems to shift towards its opposite: work engagement.

Maslach and Leiter (1997) assumes that engagement and burnout constitute the opposite poles of a continuum of work related well-being. According to their point of view while burnout represents the negative pole, engagement represent the positive. Contrary to those who suffer from burnout, engaged employees have a sense of energetic and effective connection with their work, and instead of stressful and demanding they look upon their work as challenging (Bakker, Schaufeli, Leiter, & Taris, 2008). Work engagement can be defined as “a positive, fulfilling, work-related state of mind that is characterized by vigor, dedication, and absorption” (Schaufeli, Salanova, Gonzalez-Roma & Bakker, 2002, p. 74).  In an ever-changing world, schools, like other organizations, must be cooperative, cohesive, and well-managed ever than before in order to be responsive, effective, and productive (Tschannen-Moran & Hoy, 2000). For schools to be effective

 The purpose of the study

The purpose of this research is to examine the psychometric properties of long (UWES-17) and short forms (UWES-9) of Utrecht Work Engagement Scale (UWES) (Schaufeli, Bakker, & Salanova, 2006; Schaufeli, Salanova, Gonzalez-Roma, & Bakker, 2002) for the Turkish school principals.  Although long and short forms of UWES scale adopted in Turkish by Eryılmaz & Doğa (2012), factor structure of it was not tested for school principals.

Method

METHOD Research Group The research group consisted of 300 voluntary school principals from Mardin and Malatya, two different cities from eastern part of Turkey. Instruments Utrech Work Engagement Scale : In order to conduct the reliability and validity studies, long form of the UWES-17 developed by Schaufeli, Salanova, Gonzalez-Roma, & Bakker (2002), and adopted in Turkish by Eryılmaz & Doğa (2012) was administered on participating principals. Response set for the scale items ranges from never (0) to always (6). Friedman Principal Burnout Scale: Work engagement is conceptually seen as the positive antithesis of burnout. Therefore, Turkish form of the Friedman Principal Burnout Scale (Özer, Dönmez & Cömert, 2012) was also administered on participating principals to test the convergent validity of UWES scale. Turkish form of the scale consisted of 20 items under three factors as in the original form, respectively exhaustion, depersonalization and reduced personal accomplishment sub-scales. Each item in the instrument is evaluated based on a five point Likert scale: “1 = Never” to “5 = Always”. Minimum and maximum possible scores are 20 and 100. The increase in the score indicates that the principle suffer much burnout. Data Analysis In analyzing the data gathered, first the construct validity of UWES-17 and UWES-9 forms will be investigated using exploratory factor analysis (AFA) and Confirmatory Factor Analysis (CFA). While former analysis tries to obtain factor structures based on the correlations between variables (Field, 2009), the latter tests a hypothesis or theory established in advance regarding the correlations between variables (Thompson, 2004). Prior to AFA, the sampling adequacy of the data will be tested with Kaiser-Meyer-Olkin (KMO) and Bartlett tests. As the data found adequate for factor analysis, we will proceeded to analyzing factor structure using principal components factor analysis. While extracting the factors following guidelines commonly suggested in the literature (Hair, Black, Babin & Anderson., 2010; Pallant, 2011; Tabachnick & Fidell, 2007) will be used: a) Kaiser criteria, b) scree plot, c) communalities and d) explained variance. For validity studies also corrected item-total correlation coefficients will be estimated. For reliability studies, Cronbach Alpha and test-retest correlation coefficients will be estimated. After these stage model data fit will be tested with CFA.

Expected Outcomes

The survey was administered to approximately 300 principals working in two different cities of Turkey, and results will be gathered by April 2014. It is expected that the study will reveal a valid and reliable scale form to measure work engagement levels of Turkish principals. It is also aimed to make comparative research on Turkish and European school principals’ work engagement levels in future.

References

Bakker, A. B., Schaufeli, W. B., Leiter, M. P., & Taris, T. W. (2008). Work engagement: An emerging concept in occupational health psychology. Work & Stress, 22(3), 187-200. Carr, A. (2004). Positive psychology: The science of happiness and human strengths. New York, NY: Brunner-Routledge. Eryılmaz, A., & Doğa, T. (2012). Subjective well-being at work: Investigating of psychometric properties of Utrecht work engagement scale. Klinik Psikiyatri Dergisi [Journal of Clinical Psychiatry], 15(1). 49-55. Field, A. (2009). Discovering statistics using SPSS: And sex and drugs and rock 'n' roll (3rd Ed). London: Sage Publications. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Englewood Cliffs: Prentice Hall. Maslach, C., & Leiter, M. P. (1997). The truth about burnout: How organizations cause personal stress and what to do about it. San Francisco, CA: Jossey-Bass. Pallant, J. (2011). SPSS survival manual: A step by step guide to data analysis using SPSS for Windows (4th Ed.). Berkshire: Open University Press. Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire a cross-national study. Educational and psychological Measurement, 66(4), 701-716. Schaufeli, W.B., Salanova, M., Gonza´lez-Roma´ , V. & Bakker, A.B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3, 71-92. Seligman, M. E. P. (2002). Positive psychology, positive prevention, and positive therapy. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 3–9). Oxford: Oxford University Press. Seligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive psychology: An introduction. American Psychologist, 55, 5-14. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics: Pearson Education Inc. Boston, MA. Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC: American Psychological Association. Tschannen-Moran, M & Hoy, W. K. (2000). A multidisciplinary analysis of the nature, meaning, and measurement of trust. Review of Educational Research, 70(4), 547-593.

Author Information

Niyazi Özer (submitting)
İnönü University, Turkey
Kadir Beycioğlu (presenting)
Dokuz Eylül University, Buca Faculty of Education
Mardin Artuklu University, Faculty of Science & Letters

Update Modus of this Database

The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER. 

Search the ECER Programme

  • Search for keywords and phrases in "Text Search"
  • Restrict in which part of the abstracts to search in "Where to search"
  • Search for authors and in the respective field.
  • For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
  • If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.