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A Multivariate Statistical Research on Engagement of University Students: A Case Study in Greece

Received: 7 April 2016     Accepted: 18 April 2016     Published: 28 April 2016
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Abstract

In the present article we study the engagement of University students. Data drawn from the Faculty of Health and Caring Professions of a Greek University, are properly analyzed via inferential statistics in order to detect characteristics that affect significantly the engagement of students. Factor analysis has been also applied and revealed the expected structure of the measurement scale that has been used. Moreover, cluster analysis based on total score contributed to the identification of the crucial role of several demographics.

Published in American Journal of Theoretical and Applied Statistics (Volume 5, Issue 3)
DOI 10.11648/j.ajtas.20160503.13
Page(s) 94-100
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Utrecht Work Engagement Scale, University Students, Factor Analysis, k-means Cluster Analysis

References
[1] Bakker, A. B., Schaufeli, W. B., Leiter, M. P. & Taris, W. B. (2008). Work Engagement: an emerging concept in occupational health psychology, Work Stress, 22, 187-200.
[2] Bakker, A. B., Demerouti, E. & Sanz-Vergel, A. I. (2014). Burnout and Work Engagement: The JD-R Approach, Organizational Psychology and Organizational Behavior, 1, 389-411.
[3] Bakker, A. B., Shimazu, A., Demerouti, E., Shimada, K. & Kawakami, N. (2014). Work engagement versus workaholism: a test of the spillover-crossover model, Journal of Managerial Psychology, 29, 63-80.
[4] Breevaart, K., Bakker, A. B., Demerouti, E. & Derks, D. (2016). Who takes the lead? a multi-source diary study on leadership, work engagement and job performance, Journal of Organizational Behavior, 37, 309-325.
[5] Breevaart, K., Bakker, A. B., Demerouti, E. & van den Heuvel, M. (2015). Leader-member exchange, work engagement and job performance, Journal of Managerial Psychology, 30, 754-770.
[6] Demerouti, E., Bakker, A. B., De Jonge, J., Janssen, P. P. M. & Schaufeli, W. B. (2001). Burnout and engagement at work as a function of demands and control, Scandinavian Journal of Work Environment & Health, 27, 279-286.
[7] Feldt, T., Huhtala, M., Kinnunen, U., Hyvonen, K., Makikangas, A. & Sonnentag, S. (2013). Longterm patterns of effort-reward imbalance and over-commitment: Investigating occupational well-being and recovery experiences as outcomes, Work & Stress, 27, 64–87.
[8] Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work, Academy of Management Journal, 33, 692–724.
[9] Mäkikangas, A., Feldt, T., Kinnunen, U. & Schaufeli, W. B. (2016). The longitudinal development of employee well-being: A systematic literature review, Work & Stress. 30, 46-70.
[10] 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.
[11] Schaufeli, W. B., Salanova, M., Gonzalez-Roma, V. & Bakker, A. B. (2002a). The measurement of engagement and burnout: A confirmatory factor analytic approach, Journal of Happiness Studies, 3, 71-92.
[12] Schaufeli, W. B., Martinez, I., Marques Pinto, A., Salanova, M. & Bakker, A. B. (2002b). Burnout and engagement in university students: A cross national study, Journal of Cross-Cultural Psychology, 33, 464-481.
[13] Schaufeli, W. B., Taris, T. W. & Van Rhenen, W. (2008). Workaholism, Burnout and Work Engagement: Three of a Kind or Three Different Kinds of Employee Well-Being, Applied Psychology: An International Review, 57, 173-203.
[14] Schaufeli, W. B. & Bakker, A. B. (2004). Job demands, job resources and their relationship with burnout and engagement: a multi-sample study, Journal of Organizational Behavior, 25, 293-315.
[15] Schaufeli, W. B. & Bakker, A. B. (2003). Utrecht work engagement scale: Preliminary manual, Occupational Health Psychology Unit, Utrecht University, Utrecht.
[16] Schaufeli, W. B., Taris, T., Le Blanc, P., Peeters, M., Bakker, A., & De Jonge, J. (2001). Maakt arbeid gezond? Op zoek naar de bevlogen werknemer, De Psycholoog, 36, 422–428.
[17] Sonnentag, S. (2003). Recovery, work engagement, and proactive behavior (2003), A new Look at the interface between non-work and work, Journal of Applied Psychology, 88, 518-528.
Cite This Article
  • APA Style

    Ioannis S. Triantafyllou. (2016). A Multivariate Statistical Research on Engagement of University Students: A Case Study in Greece. American Journal of Theoretical and Applied Statistics, 5(3), 94-100. https://doi.org/10.11648/j.ajtas.20160503.13

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    ACS Style

    Ioannis S. Triantafyllou. A Multivariate Statistical Research on Engagement of University Students: A Case Study in Greece. Am. J. Theor. Appl. Stat. 2016, 5(3), 94-100. doi: 10.11648/j.ajtas.20160503.13

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    AMA Style

    Ioannis S. Triantafyllou. A Multivariate Statistical Research on Engagement of University Students: A Case Study in Greece. Am J Theor Appl Stat. 2016;5(3):94-100. doi: 10.11648/j.ajtas.20160503.13

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  • @article{10.11648/j.ajtas.20160503.13,
      author = {Ioannis S. Triantafyllou},
      title = {A Multivariate Statistical Research on Engagement of University Students: A Case Study in Greece},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {5},
      number = {3},
      pages = {94-100},
      doi = {10.11648/j.ajtas.20160503.13},
      url = {https://doi.org/10.11648/j.ajtas.20160503.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20160503.13},
      abstract = {In the present article we study the engagement of University students. Data drawn from the Faculty of Health and Caring Professions of a Greek University, are properly analyzed via inferential statistics in order to detect characteristics that affect significantly the engagement of students. Factor analysis has been also applied and revealed the expected structure of the measurement scale that has been used. Moreover, cluster analysis based on total score contributed to the identification of the crucial role of several demographics.},
     year = {2016}
    }
    

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    AB  - In the present article we study the engagement of University students. Data drawn from the Faculty of Health and Caring Professions of a Greek University, are properly analyzed via inferential statistics in order to detect characteristics that affect significantly the engagement of students. Factor analysis has been also applied and revealed the expected structure of the measurement scale that has been used. Moreover, cluster analysis based on total score contributed to the identification of the crucial role of several demographics.
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Author Information
  • Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

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