Abstract
The 16-item Work Study Congruence Scale was developed to assess self-perceived congruence between work and study roles in university students. Items were based on student interviews and reviews by experts. Responses were subjected to Exploratory (Sample 1: N = 251, mean age 25 years) and Confirmatory Factor Analysis (Sample 2: N = 260, mean age 23 years), and validated against an existing brief congruence measure. The new scale taps four domains: university demands/resources, occupational goals, family, and leisure. It has the potential to promote research on work-study congruence, which can shed light on factors that promote student engagement and well-being.
Resumé
Développement et validation initiale d’une échelle de congruence travail-études pour les étudiants universitaires L’échelle de congruence travail-études à 16 items a été élaborée pour évaluer la perception des étudiant·e·s universitaires de la congruence entre leur travail et leurs études. Les items ont été créés sur la base d’entretiens avec des étudiant·e·s et des revues d’expert·e·s. Les réponses ont été soumises à une analyse exploratoire (échantillon 1 : N = 251, âge moyen = 25 ans), à une analyse factorielle confirmatoire (échantillon 2 : N = 260, âge moyen = 23 ans) ainsi que comparées à une brève échelle de congruence déjà existante. Notre nouvelle échelle comprend quatre domaines : les exigences / ressources universitaires, les objectifs professionnels, la famille et les loisirs. Cet instrument a le potentiel de promouvoir la recherche sur la congruence travail-études et d’ainsi contribuer à mieux comprendre les facteurs qui favorisent l’engagement et le bien-être des étudiant·e·s.
Zusammenfassung
Entwicklung und erste Validierung einer Arbeits-Studiums-Kongruenz Skala Die 16-Item Arbeits-Studiums-Kongruenz Skala wurde entwickelt, um die selbsteingeschätzte Kongruenz zwischen Arbeits- und Studiums-Rollen von Universitätsstudierenden zu messen. Die Items basieren auf Interviews mit Studierenden und auf Expertenfeedbacks. Die Fragebogendaten wurden mittels explorativer (Stichprobe 1: N = 251, Durchschnittsalter = 25 Jahre) und konfirmatorischer Faktorenanalyse (Stichprobe 2: N = 260, Durchschnittsalter = 23 Jahre) analysiert und mit Hilfe einer Kongruenz-Kurzskala validiert. Die neue Skala thematisiert vier Bereiche: Universitäre Ansprüche und Ressourcen, berufliche Ziele, Familie und Freizeit. Sie hat das Potential, Forschung zu Arbeits-Studiums-Kongruenz und ursächliche Faktoren im Zusammenhang mit studentischem Engagement und Wohlbefinden in den Fokus der Forschung zu rücken.
Resumen
Desarrollo y validación inicial de una escala de congruencia estudio-trabajo para estudiantes universitarios Los 16 items de la escala de congruencia estudio-trabajo (WSCS) para estudiantes universitarios fue desarrollada para valorar su autopercepción sobre la congruencia entre los roles studio y trabajo. Los items se fundamentaron con entrevistas a los alumnos y revisados por expertos. Las repuestas fueron sometidas a un análisis factorial exploratorio y confirmatorio (ECFA), (Muestra exploratoria 1: N = 251 y media de 25 años de edad) (Muestra confirmatoria 2: N = 260 y media de 23 años de edad) y validadas contrastándolas con un documento actual sobre medida de la congruencia. La nueva escala conecta cuatro competencies: demandas universitariias/recursos, objetivos ocupacionales, familia y ocio. Tiene potencial para promover la investigación sobre la congruencia trabajo-estudio, la cual saca a la luz factores que fomentan el compromiso y el bienestar de los estudiantes.
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References
ACER. (2011). Research briefing: Australasian survey of student engagement. Melbourne: ACER.
American Council on Education. (2006). Working their way through college: Student employment and its impact on the college experience. Retrieved from http://www.acenet.edu/news-room/Pages/Working-Their-Way-Through-College-.aspx.
Anderson, M. J. (2006). Degree of fit: University students in paid employment, service delivery and technology. Australasian Journal of Educational Technology, 22, 88–103. https://doi.org/10.14742/ajet.1308.
Ashforth, B., Kreiner, G., & Fugate, M. (2000). All in a day’s work: Boundaries and micro role transitions. Academy of Management Review, 25, 472–491. https://doi.org/10.5465/AMR.2000.3363315.
Bexley, E., Daroesman, S., Arkoudis, S., & James, R. (2013). University student finances in 2012: A study of the financial circumstances of domestic and international students in Australia’s universities. Centre for the Study of Higher Education. Retrieved from https://eric.ed.gov/?id=ED558588.
Biddle, B. J. (2013). Role theory: Expectations, identities, and behaviors. New York, NY: Academic Press.
Butler, A. B. (2007). Job characteristics and college performance and attitudes. Journal of Applied Psychology, 92, 500–510. https://doi.org/10.1037/0021-9010.92.2.500.
Byrd, D. R., & McKinney, K. J. (2012). Individual, interpersonal, and institutional level factors associated with the mental health of college students. Journal of American College Health, 60, 185–193. https://doi.org/10.1080/07448481.2011.584334.
Chen, Z., Powell, G. N., & Greenhaus, J. H. (2009). Work-to-family conflict, positive spillover, and boundary management. Journal of Vocational Behaviour, 74, 82–93. https://doi.org/10.1016/j.jvb.2008.10.009.
Chuang, A., Shen, C. T., & Judge, T. A. (2016). Development of a multidimensional instrument of person–environment fit. Applied Psychology, 65, 66–98. https://doi.org/10.1111/apps.12036.
Cinamon, R. G. (2016). Integrating work and study among young adults. Journal of Career Assessment, 24, 527–542. https://doi.org/10.1177/1069072715599404.
Coates, H. (2015). Working on a dream: Educational returns from off-campus paid work. Journal of Education and Work, 28, 66–82. https://doi.org/10.1080/13639080.2013.802835.
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis. Practical Assessment, Research & Evaluation, 10, 1–9. Retrieved from http://www.pareonline.net.
Creed, P. A., French, J., & Hood, M. (2015). Working while studying at university. Journal of Vocational Behaviour, 86, 48–57. https://doi.org/10.1016/j.jvb.2014.11.002.
Curtis, S., & Shani, N. (2002). The effect of taking paid employment during term-time on students’ academic studies. Journal of Further and Higher Education, 26, 129–138. https://doi.org/10.1080/03098770220129406.
Darmody, M., & Smyth, E. (2008). Full-time students? Term-time employment among higher education students in Ireland. Journal of Education and Work, 21, 349–362. https://doi.org/10.1080/13639080802361091.
Devlin, M., James, R., & Grigg, G. (2008). Studying and working. Tertiary Education and Management, 14, 111–122. https://doi.org/10.1080/13583880802053044.
Dueber, D. M. (2017). Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models. https://dx.doi.org/10.13023/edp.tool.01. http://sites.education.uky.edu/apslab/resources/.
Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32, 221–233. https://doi.org/10.1037/h0057532.
Ford, M. T., & Jin, J. (2015). Incongruence between workload and occupational norms for time pressure predicts depressive symptoms. European Journal of Work and Organizational Psychology, 24, 88–100. https://doi.org/10.1080/1359432X.2013.858701.
Gollwitzer, M., Christ, O., & Lemmer, G. (2014). Individual differences make a difference: On the use and the psychometric properties of difference scores in social psychology. European Journal of Social Psychology, 44, 673–682. https://doi.org/10.1002/ejsp.2042.
Greenhaus, J. H., Collins, K. M., & Shaw, J. D. (2003). The relation between work–family balance and quality of life. Journal of Vocational Behavior, 63, 510–531. https://doi.org/10.1016/S0001-8791(02)00042-8.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). New Jersey, NJ: Prentice Hall.
Hall, R. (2010). The work–study relationship. Journal of Education and Work, 23, 439–449. https://doi.org/10.1080/13639080.2010.515969.
Hare, J. (2010, October 20). High university drop-out rates cost 1.4 billion. The Australian. Retrieved from http://www.theaustralian.com.au/higher-education/high-university-drop-out-rates-cost-14bn/news-story/3ab0e494787389df9b0a8a892bba2242.
Hinkin, T. R. (1998). A brief tutorial on the development of measures for the use in survey questionnaires. Organizational Research Methods, 1, 104–121. https://doi.org/10.1177/109442819800100106.
Jisc TechDis (n.d.). How to use the readability statistic. Retrieved from https://sshs.exeter.ac.uk/media/universityofexeter/schoolofsportandhealthsciences/documents/Guidelines_for_checking_readability_of_Participant_Information_Sheets.pdf.
Klein, P. (2000). The handbook of psychological testing (2nd ed.). London, UK: Routledge.
Kossek, E. E., & Lautsch, B. A. (2012). Work–family boundary management styles in organizations. Organizational Psychology Review, 2, 152–171. https://doi.org/10.1177/2041386611436264.
Krause, K. (2005). Understanding and promoting student engagement in university learning communities. Retrieved from http://cshe.unimelb.edu.au/resources_teach/teaching_in_practice/docs/Stud_eng.pdf.
Kreiner, G. E. (2006). Consequences of work-home segmentation or integration. Journal of Organizational Behaviour, 27, 485–507. https://doi.org/10.1002/job.386.
Kreiner, G. E., Hollensbe, E. C., & Sheep, M. L. (2009). Balancing borders and bridges. Academy of Management Journal, 52, 704–730. https://doi.org/10.5465/AMJ.2009.43669916.
Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In P. Marsden & J. Wright (Eds.), Handbook of survey research (2nd ed., pp. 263–313). Bingley, UK: Emerald.
LeComte-Hinely, J. R. (2013). Examining the mechanisms of the work-nonwork boundary fit and health relationship. Dissertations and Theses (Paper 663). Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/663.
Lin, Y., Yu, C., & Yi, C. (2014). The effects of positive affect, a person-job fit, and well-being on job performance. Social Behaviour and Personality, 42, 1537–1547. https://doi.org/10.2224/sbp.2014.42.9.1537.
Lingard, H. (2012). Balancing study and paid work. The Australian Journal of Construction Economics and Building, 5, 41–47. https://doi.org/10.5130/AJCEB.v5il.2942.
Maor, D., & Volet, S. E. (2007). Interactivity in professional online learning. Australasian Journal of Educational Technology, 23, 269–290. https://doi.org/10.14742/ajet.1268.
Markel, K. S., & Frone, M. R. (1998). Job characteristics, work-school conflict, and school outcomes among adolescents. Journal of Applied Psychology, 83, 277–287. https://doi.org/10.1037/0021-9010.83.2.277.
McInnis, C., & Hartley, R. (2002). Managing study and work. Canberra, Australia: Department of Education, Science, and Training.
National Union of Students. (2008). NUS Student Experience Report. Retrieved from www.nus.org.uk/PageFiles/4017/NUS_StudentExperienceReport.pdf.
Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work-family conflict and family-work conflict scales. Journal of Applied Psychology, 81, 400–410. https://doi.org/10.1037/0021-9010.81.4.400.
Nippert-Eng, C. (1996). Home and work: Negotiating boundaries through everyday life. Chicago, IL: University of Chicago Press.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York, NY: McGraw-Hill.
O’Connor, B. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behaviour Research Methods, 32, 396–402. https://doi.org/10.3758/bf03200807.
Paustian-Underdahl, S. C., Halbesleben, J. R., Carlson, D. S., & Kacmar, K. M. (2016). The work–family interface and promotability. Journal of Management, 42, 960–981. https://doi.org/10.1177/0149206313506464.
Ramarajan, L., & Reid, E. (2013). Shattering the myth of separate worlds. Academy of Management Review, 38, 621–644. https://doi.org/10.5465/amr.2011.0314.
Rhodes, D. (2016). Managing role boundaries with low value congruence. Dissertation. Retrieved from https://uh-ir.tdl.org/uh-ir/bitstream/handle/10657/1708/RHODES-DISSERTATION-2016.pdf?sequence=1.
Richardson, M., Evans, C., & Gbadamosi, G. (2014). The work-study nexus. Research in Post-Compulsory Education, 19, 302–309. https://doi.org/10.1080/13596748.2014.920582.
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016a). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21, 137–150. https://doi.org/10.1037/met0000045.
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016b). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98, 223–237. https://doi.org/10.1080/00223891.2015.1089249.
Schneider, M., & Yin, L. (2011). The hidden costs of community colleges. Washington, DC: American Institutes for Research.
Super, D. E. (1994). A life-span, life-space perspective on convergence. In M. L. Savickas & R. W. Lent (Eds.), Convergence in career development theories (pp. 63–76). Palo Alto, CA: CPP Books.
Swanson, V., Broadbridge, A., & Karatzias, A. (2006). Earning and learning. British Journal of Educational Psychology, 76, 895–914. https://doi.org/10.1348/000709905X65009.
Trafimow, D. (2015). A defense against the alleged unreliability of difference scores. Cogent Mathematics, 2, 1064626. https://doi.org/10.1080/23311835.2015.1064626.
Winkel, D. E., & Clayton, R. W. (2010). Transitioning between work and family roles as a function of boundary flexibility and role salience. Journal of Vocational Behaviour, 76, 336–343. https://doi.org/10.1016/j.jvb.2009.10.011.
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Chu, M.L., Creed, P.A. & Conlon, E.G. Development and initial validation of a Work-Study Congruence Scale for university students. Int J Educ Vocat Guidance 19, 257–274 (2019). https://doi.org/10.1007/s10775-018-9379-0
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DOI: https://doi.org/10.1007/s10775-018-9379-0