Abstract
Previous theoretical research proposed a link between students’ academic motivation and students’ experiences of social integration, but less is known empirically about this association in higher education contexts. In order to explore the directional links between students’ academic motivation and social integration, this survey study aims to investigate the following: (1) how students’ motivation at the start affects their experiences of social integration at the end of the first year of higher education and (2) how students’ social integration at the start influences their motivation at the end of the first year. A total of 930 freshmen participated in this study by completing a questionnaire. Three autoregressive cross-lagged models were tested by using a longitudinal dataset with two measurement waves, at the start and at the end of the first year of higher education. The results showed that students with a high level of amotivation at the start of the first year of higher education were less socially integrated at the end of the first year. Furthermore, social integration could play a crucial role in positively changing students’ identified regulation during the first year of higher education. Students who experienced a greater degree of social integration at the start of the first year had a higher score on identified regulation at the end of the first year. These results highlight the importance of creating a learning environment which fosters students’ social integration, as well as supporting less-motivated students at the start of the first year.
Similar content being viewed by others
References
Allen, J., Robbins, S. B., Casillas, A., & Oh, I.-S. (2008). Third-year college retention and transfer: effects of academic performance, motivation, and social connectedness. Research in Higher Education, 49(7), 647–664. https://doi.org/10.1007/s11162-008-9098-3.
Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369–386. https://doi.org/10.1002/pits.20303.
Assor, A., Vansteenkiste, M., & Kaplan, A. (2009). Identified versus introjected approach and introjected avoidance motivations in school and in sports: the limited benefits of self-worth strivings. Journal of Educational Psychology, 101(2), 482–497. https://doi.org/10.1037/a0014236.
Baumeister, R. F., & Leary, M. R. (1995). The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497–529. https://doi.org/10.1037/0033-2909.117.3.497.
Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485–540. https://doi.org/10.3102/00346543055004485.
Beekhoven, S., De Jong, U., & Van Hout, H. (2002). Explaining academic progress via combining concepts of integration theory and rational choice theory. Research in Higher Education, 43(5), 577–600. https://doi.org/10.1023/a:1020166215457.
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: a structural equation perspective. New Jersey: John Wiley & Sons.
Bosse, E., & Trautwein, C. (2014). Individuelle und institutionelle Herausforderungen der Studieneingangsphase. Zeitschrift für Hochschulentwicklung, 9(5), 41–62.
Braxton, J. M., Jones, W. A., Hirschy, A. S., & Hartley III, H. V. (2008). The role of active learning in college student persistence. New Directions for Teaching and Learning, 2008(115), 71–83. https://doi.org/10.1002/tl.326.
Briggs, A. R. J., Clark, J., & Hall, I. (2012). Building bridges: understanding student transition to university. Quality in Higher Education, 18(1), 3–21. https://doi.org/10.1080/13538322.2011.614468.
Brouwer, J., Jansen, E., Flache, A., & Hofman, A. (2016). The impact of social capital on self-efficacy and study success among first-year university students. Learning and Individual Differences, 52, 109–118. https://doi.org/10.1016/j.lindif.2016.09.016.
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods Research, 21(2), 230–258. https://doi.org/10.1177/0049124192021002005.
Buote, V. M., Pancer, S. M., Pratt, M. W., Adams, G., Birnie-Lefcovitch, S., Polivy, J., & Wintre, M. G. (2007). The importance of friends. Journal of Adolescent Research, 22(6), 665–689. https://doi.org/10.1177/0743558407306344.
Byrne, B. M. (2010). Structural equation modeling using AMOS: basic concepts, applications, and programming. New York: Routledge.
Byrne, M., & Flood, B. (2005). A study of accounting students’ motives, expectations and preparedness for higher education. Journal of Further and Higher Education, 29(2), 111–124. https://doi.org/10.1080/03098770500103176.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for festing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/s15328007sem0902_5.
Christie, H., Tett, L., Cree, V. E., Hounsell, J., & McCune, V. (2008). ‘A real rollercoaster of confidence and emotions’: learning to be a university student. Studies in Higher Education, 33(5), 567–581. https://doi.org/10.1080/03075070802373040.
Coertjens, L., Donche, V., De Maeyer, S., Vanthournout, G., & Van Petegem, P. (2012). Longitudinal measurement invariance of likert-type learning strategy scales: are we using the same ruler at each wave? Journal of Psychoeducational Assessment, 30(6), 577–587. https://doi.org/10.1177/0734282912438844.
Coertjens, L., Donche, V., De Maeyer, S., Vanthournout, G., & Van Petegem, P. (2017). To what degree does the missing-data technique influence the estimated growth in learning strategies over time? a tutorial example of sensitivity analysis for longitudinal data. PLoS ONE, 12(9), e0182615.https://doi.org/10.1371/journal.pone.0182615
Collings, R., Swanson, V., & Watkins, R. (2014). The impact of peer mentoring on levels of student wellbeing, integration and retention: a controlled comparative evaluation of residential students in UK higher education. Higher Education, 68(6), 927–942. https://doi.org/10.1007/s10734-014-9752-y.
Connell, J. P., & Wellborn, J. G. (1991). Competence, autonomy, and relatedness: a motivational analysis of self-system processes. In M. R. Gunnar & L. A. Sroufe (Eds.), Self processes and development (pp. 43–77). Hillsdale, NJ, England: Lawrence Erlbaum Associates.
Dawson, P., van der Meer, J., Skalicky, J., & Cowley, K. (2014). On the effectiveness of supplemental instruction: a systematic review of supplemental instruction and peer-assisted study sessions literature between 2001 and 2010. Review of Educational Research, 84(4), 609–639. https://doi.org/10.3102/0034654314540007.
De Clercq, M., Galand, B., Dupont, S., & Frenay, M. (2013). Achievement among first-year university students: an integrated and contextualised approach. European Journal of Psychology of Education, 28(3), 641–662. https://doi.org/10.1007/s10212-012-0133-6.
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965pli1104_01.
Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester, NY: University Rochester Press.
Deci, E. L., & Ryan, R. M. (2008a). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/Psychologie Canadienne, 49(1), 14–23. https://doi.org/10.1037/0708-5591.49.1.14.
Deci, E. L., & Ryan, R. M. (2008b). Self-determination theory: a macrotheory of human motivation, development, and health. Canadian Psychology/Psychologie Canadienne, 49(3), 182–185. https://doi.org/10.1037/a0012801.
Dennis, J. M., Phinney, J. S., & Chuateco, L. I. (2005). The role of motivation, parental support, and peer support in the academic success of ethnic minority first-generation college students. Journal of College Student Development, 46(3), 223–236. https://doi.org/10.1353/csd.2005.0023.
Donche, V., & Van Petegem, P. (2008). The validity and reliability of the Short Inventory of Learning Patterns. In E. Cools, H. Van den Broeck, C. Evans, & T. Redmond (Eds.), Style and cultural differences: how can organisations, regions and countries take advantage of style differences (pp. 49–59). Gent, Belgium: Vlerick Leuven Gent Management School.
Donche, V., De Maeyer, S., Coertjens, L., van Daal, T., & Van Petegem, P. (2013). Differential use of learning strategies in first-year higher education: the impact of personality, academic motivation, and teaching strategies. British Journal of Educational Psychology, 83(2), 238–251. https://doi.org/10.1111/bjep.12016.
Donche, V., Coertjens, L., van Daal, T., De Maeyer, S., & Van Petegem, P. (2014). Understanding differences in student learning and academic achievement in first year higher education: an integrated research perspective. In D. Gijbels, V. Donche, J. T. E. Richardson, & J. D. Vermunt (Eds.), Learning patterns in higher education: dimensions and research perspectives (pp. 214–231). London: Routledge.
Eisenberg, D., Hunt, J., & Speer, N. (2013). Mental health in American colleges and universities: Variation across student subgroups and across campuses. The Journal of Nervous and Mental Disease, 201(1), 60–67. https://doi.org/10.1097/NMD.0b013e31827ab077.
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 8(3), 430–457. https://doi.org/10.1207/s15328007sem0803_5.
Flemish Government. (2012). Hoger onderwijs in cijfers: academiejaar 2011–2012 [Higher education in numbers—academic year 2011–2012]. Retrieved from http://www.ond.vlaanderen.be/hogeronderwijs/werken/studentadmin/studentengegevens/hoger_onderwijs_in_cijfers_2011-2012.pdf
Freeman, T. M., Anderman, L. H., & Jensen, J. M. (2007). Sense of belonging in college freshmen at the classroom and campus levels. The Journal of Experimental Education, 75(3), 203–220. https://doi.org/10.3200/JEXE.75.3.203-220.
Gale, T., & Parker, S. (2012). Navigating change: a typology of student transition in higher education. Studies in Higher Education, 39(5), 734–753. https://doi.org/10.1080/03075079.2012.721351.
Hixenbaugh, P., Dewart, H., Drees, D., & Williams, D. (2006). Peer E-mentoring: enhancement of the first year experience. Psychology Learning & Teaching, 5(1), 8–14. https://doi.org/10.2304/plat.2005.5.1.8.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.
Jenert, T., Brahm, T., Gommers, L., & Kühner, P. (2017). How do they find their place? A typology of students’ enculturation during the first year at a business school. Learning, Culture and Social Interaction, 12, 87–99. https://doi.org/10.1016/j.lcsi.2016.12.001.
Kember, D. (2001). Beliefs about knowledge and the process of teaching and learning as a factor in adjusting to study in higher education. Studies in Higher Education, 26(2), 205–221. https://doi.org/10.1080/03075070120052116.
Kyndt, E., Coertjens, L., van Daal, T., Donche, V., Gijbels, D., & Van Petegem, P. (2015). The development of students' motivation in the transition from secondary to higher education: a longitudinal study. Learning and Individual Differences, 39(0), 114–123. https://doi.org/10.1016/j.lindif.2015.03.001
Kyndt, E., Donche, V., Trigwell, K., & Lindblom-Ylänne, S. (2017). Higher education transitions: theory and research. London and New York: Routledge.
Larcombe, W., Finch, S., Sore, R., Murray, C. M., Kentish, S., Mulder, R. A., & Williams, D. A. (2016). Prevalence and socio-demographic correlates of psychological distress among students at an Australian university. Studies in Higher Education, 41(6), 1074–1091. https://doi.org/10.1080/03075079.2014.966072.
Litalien, D., Morin, A. J. S., Gagné, M., Vallerand, R. J., Losier, G. F., & Ryan, R. M. (2017). Evidence of a continuum structure of academic self-determination: a two-study test using a bifactor-ESEM representation of academic motivation. Contemporary Educational Psychology, 51, 67–82. https://doi.org/10.1016/j.cedpsych.2017.06.010.
Martens, T., & Metzger, C. (2017). Different transitions towards learning at university: exploring the hetegoreneity of motivational processes. In E. Kyndt, V. Donche, K. Trigwell, & S. Lindblom-Ylänne (Eds.), Higher education transitions: theory and research (pp. 31–46). New York: Routledge.
Meeuwisse, M., Severiens, S. E., & Born, M. P. (2010). Learning environment, interaction, sense of belonging and study success in ethnically diverse student groups. Research in Higher Education, 51(6), 528–545. https://doi.org/10.1007/s11162-010-9168-1.
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th ed.). Los Angelos, CA: Muthén & Muthén.
Neuville, S., Frenay, M., Schmitz, J., Boudrenghien, G., Noël, B., & Wertz, V. (2007). Tinto’s theoretical perspective and expectancy-value paradigm: a confrontation to explain freshmen’s academic achievement. Psychologica Belgica, 47(1), 31–50. https://doi.org/10.5334/pb-47-1-31.
Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: applying self-determination theory to educational practice. Theory and Research in Education, 7(2), 133–144. https://doi.org/10.1177/1477878509104318.
OECD. (2013). The state of higher education 2013. Retrieved from http://www.oecd.org/edu/imhe/StateofHigherEducation2013-ExecutiveSummary.pdf.
Pan, Y., & Gauvain, M. (2012). The continuity of college students’ autonomous learning motivation and its predictors: a three-year longitudinal study. Learning and Individual Differences, 22(1), 92–99. https://doi.org/10.1016/j.lindif.2011.11.010.
Pascarella, E. T., & Terenzini, P. T. (1980). Predicting freshman persistence and voluntary dropout decisions from a theoretical model. The Journal of Higher Education, 51(1), 60–75. https://doi.org/10.2307/1981125.
Perry, C., & Allard, A. (2003). Making the connections: transition experiences for first-year education students. The Journal of Educational Enquiry, 4(2), 74–89.
Próspero, M., & Vohra-Gupta, S. (2007). First generation college students: motivation, integration, and academic achievement. Community College Journal of Research and Practice, 31(12), 963–975. https://doi.org/10.1080/10668920600902051.
Quinlan, K. M. (2016). How emotion matters in four key relationships in teaching and learning in higher education. College Teaching, 64(3), 101–111. https://doi.org/10.1080/87567555.2015.1088818.
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: a systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838.
Rienties, B., Tempelaar, D., Van den Bossche, P., Gijselaers, W., & Segers, M. (2009). The role of academic motivation in computer-supported collaborative learning. Computers in Human Behavior, 25(6), 1195–1206. https://doi.org/10.1016/j.chb.2009.05.012.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261.
Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: examining reasons for acting in two domains. Journal of Personality and Social Psychology, 57(5), 749–761. https://doi.org/10.1037/0022-3514.57.5.749.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066x.55.1.68.
Selig, J. P., & Little, T. D. (2012). Autoregressive and cross-lagged panel analysis for longitudinal data. In B. Laursen, T. D. Little, & N. A. Card (Eds.), Handbook of developmental research methods (pp. 265–278). New York: The Guilford Press.
Severiens, S., & Wolff, R. (2008). A comparison of ethnic minority and majority students: social and academic integration, and quality of learning. Studies in Higher Education, 33(3), 253–266. https://doi.org/10.1080/03075070802049194.
Sierens, E. (2010). Autonomy-supportive, structuring, and psychologically controlling teaching: antecedents, mediators, and outcomes in late adolescents (Doctoral dissertation). Leuven, Belgium: KU Leuven.
Spady, W. G. (1970). Dropouts from higher education: an interdisciplinary review and synthesis. Interchange, 1(1), 64–85. https://doi.org/10.1007/bf02214313.
Tinajero, C., Martínez-López, Z., Rodríguez, M. S., Guisande, M. A., & Páramo, M. F. (2015). Gender and socioeconomic status differences in university students’ perception of social support. European Journal of Psychology of Education, 30(2), 227–244. https://doi.org/10.1007/s10212-014-0234-5.
Tinto, V. (1975). Dropout from higher education: a theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125. https://doi.org/10.3102/00346543045001089.
Tinto, V. (1993). Leaving college: rethinking the causes and cures of student attrition. Chicago: University of Chicago Press.
Tinto, V. (1997). Classrooms as communities: exploring the educational character of student persistence. The Journal of Higher Education, 68(6), 599–623. https://doi.org/10.2307/2959965.
Tinto, V. (2012). Completing college: rethinking institutional action. Chicago: The University of Chicago Press.
Urdan, T., & Schoenfelder, E. (2006). Classroom effects on student motivation: goal structures, social relationships, and competence beliefs. Journal of School Psychology, 44(5), 331–349. https://doi.org/10.1016/j.jsp.2006.04.003.
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: a measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. https://doi.org/10.1177/0013164492052004025.
van der Meer, J., Wass, R., Scott, S., & Kokaua, J. (2017). Entry characteristics and participation in a peer learning program as predictors of first-year students’ achievement, retention, and degree completion. AERA Open, 3(3), 1–13. https://doi.org/10.1177/2332858417731572.
van der Wende, M. C. (2003). Globalisation and access to higher education. Journal of Studies in International Education, 7(2), 193–206. https://doi.org/10.1177/1028315303007002006.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177/109442810031002.
Vansteenkiste, M., Lens, W., & Deci, E. L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: another look at the quality of academic motivation. Educational Psychologist, 41(1), 19–31. https://doi.org/10.1207/s15326985ep4101_4.
Vansteenkiste, M., & Ryan, R. M. (2013). On psychological growth and vulnerability: basic psychological need satisfaction and need frustration as a unifying principle. Journal of Psychotherapy Integration, 23(3), 263–280. https://doi.org/10.1037/a0032359.
Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., & Lens, W. (2009). Motivational profiles from a self-determination perspective: the quality of motivation matters. Journal of Educational Psychology, 101(3), 671–688. https://doi.org/10.1037/a0015083.
Vanthournout, G., Gijbels, D., Coertjens, L., Donche, V., & Van Petegem, P. (2012). Students' persistence and academic success in a first-year professional bachelor program: the influence of students' learning strategies and academic motivation. Education Research International, 2012, 10 pages. https://doi.org/10.1155/2012/152747
Wagner, D., & Brahm, T. (2017). Fear of academic failure as a self-fulfilling prophecy. In E. Kyndt, V. Donche, K. Trigwell, & S. Lindblom-Ylänne (Eds.), Higher education transitions: theory and research (pp. 13–30). New York: Routledge.
Wentzel, K. R. (2005). Peer relationships, motivation, and academic performance at school. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 279–296). New York: The Guilford Press.
Wigfield, A., & Eccles, J. S. (2002). Development of achievement motivation. London: Academic Press.
Wilcox, P., Winn, S., & Fyvie-Gauld, M. (2005). ‘It was nothing to do with the university, it was just the people’: the role of social support in the first-year experience of higher education. Studies in Higher Education, 30(6), 707–722. https://doi.org/10.1080/03075070500340036.
Wilson, K. L., Murphy, K. A., Pearson, A. G., Wallace, B. M., Reher, V. G. S., & Buys, N. (2014). Understanding the early transition needs of diverse commencing university students in a health faculty: informing effective intervention practices. Studies in Higher Education, 41(6), 1–18. https://doi.org/10.1080/03075079.2014.966070.
Author information
Authors and Affiliations
Corresponding author
Additional information
Dorien Noyens. Department of Training and Education Sciences, Faculty of Social Sciences, University of Antwerp, Gratiekapelstraat 10, 2000 Antwerp, Belgium. E-mail: dorien.noyens@uantwerpen.be
Current themes of research:
Academic motivation. Academic and social integration. The first year of higher education. Students’ transition to higher education.
Most relevant publications in the field of Psychology of Education:
Noyens, D., Donche, V., Coertjens, L., & Van Petegem, P. (2017). Transitions to higher education: moving beyond quantity. In E. Kyndt, V. Donche, K. Trigwell, & S. Lindblom-Ylänne (Eds.), Higher Education Transitions: Theory and Research. London and New York: Routledge.
Noyens, D., van Daal, T., Coertjens, L., Van Petegem, P., & Donche, V. (submitted). Assessing students’ perceptions between secondary and higher education: A validation study. International Journal of Educational Research.
Vanthournout, G., Noyens, D., Gijbels, D., & Bossche, P. (2014). The Relationship between Workplace Climate, Motivation and Learning Approaches for Knowledge Workers. Vocations and Learning, 7(2), 191–214. https://doi.org/10.1007/s12186-014-9112-1
Prof. dr. Vincent Donche. Department of Training and Education Sciences, Faculty of Social Sciences, University of Antwerp, Sint-Jacobstraat 2–4, 2000 Antwerp, Belgium. E-mail: vincent.donche@uantwerpen.be
Current themes of research:
Academic motivation. Academic self-concept. Self-regulation. Learning strategies. Educational measurement.
Most relevant publications in the field of Psychology of Education:
Donche, V., De Maeyer, S., Coertjens, Van Daal, T., Van Petegem, P. (2013). Differential use of learning strategies in higher education: the impact of personality, academic motivation and teaching strategy. British Journal of Educational Psychology, 83(2), 238–251.
Van Soom, C, Donche, V. (2014). Profiling first-year students in STEM programs based on autonomous motivation and academic self-concept and relationship with academic achievement. PLoS One, 9 (11), e112489.
Kyndt, E., Coertjens, L., Van Daal, T., Donche, V., Gijbels, D., Van Petegem, P. (2015). The development of students’ motivation in the transition from secondary to higher education: a longitudinal study. Learning and Individual differences, 39, 114–123. https://doi.org/10.1016/j.lindif.2015.03.001
Prof. dr. Liesje Coertjens. Psychological Sciences Research Institute, Université Catholique de Louvain, Place de l’Université 1, B-1348 Louvain-la-Neuve, Belgium. E-mail: liesje.coertjens@uclouvain.be
Current themes of research:
Performance assessment. Peer assessment. Student learning. Transition to higher education.
Most relevant publications in the field of Psychology of Education:
Coertjens, L., Donche, V., De Maeyer, S., Vanthournout, G., & Van Petegem, P. (2012). Longitudinal measurement invariance of learning strategy scales: Are we using the same ruler at each wave? Journal of Psychoeducational Assessment, 30(6), 577–587. https://doi.org/10.1177/0734282912438844
Coertjens, L., Brahm, T., Trautwein, C., & Lindblom-Ylänne, S. (2017). Students’ transition into higher education from an international perspective. Higher Education, 73(3), 357–369. https://doi.org/10.1007/s10734-016-0092-y
Coertjens, L., Donche, V., De Maeyer, S., van Daal, T., & Van Petegem, P. (2017). The growth trend in learning strategies during the transition from secondary to higher education in Flanders. Higher Education, 73(3), 499–518. https://doi.org/10.1007/s10734-016-0093-x
Tine van Daal. Department of Training and Education Sciences, Faculty of Social Sciences, University of Antwerp, Sint-Jacobstraat 2–4, 2000 Antwerp, Belgium. E-mail: tine.vandaal@uantwerpen.be
Current themes of research:
Comparative judgement. Educational assessment. Teacher learning. Educational measurement.
Most relevant publications in the field of Psychology of Education:
Donche, V., De Maeyer, S., Coertjens, Van Daal, T., Van Petegem, P. (2013). Differential use of learning strategies in higher education: the impact of personality, academic motivation and teaching strategy. British Journal of Educational Psychology, 83(2), 238–251.
Kyndt, E., Coertjens, L., Van Daal, T., Donche, V., Gijbels, D., Van Petegem, P. (2015). The development of students’ motivation in the transition from secondary to higher education: a longitudinal study. Learning and Individual differences, 39, 114–123. https://doi.org/10.1016/j.lindif.2015.03.001
van Daal, T., Donche, V., De Maeyer, S. (2014). The impact of personality, goal orientation and self-efficacy on participation of high school teachers in learning activities in the workplace. Vocations and Learning, 7(1), 21–40.
Prof. dr. Peter Van Petegem. Department of Training and Education Sciences, Faculty of Social Sciences, University of Antwerp, Sint-Jacobstraat 2–4, 2000 Antwerp, Belgium. E-mail: peter.vanpetegem@uantwerpen.be
Current themes of research:
Learning strategies. Motivation. Transition. Data use. STEM. ESD.
Most relevant publications in the field of Psychology of Education:
Vanlommel, K., Vanhoof, J., Van Petegem, P. (2016). Data use by teachers: the impact of motivation, decision-making style, supportive relationships and reflective capacity. Educational Studies, 42(1), 36–53.
Kyndt, E., Coertjens, L., Van Daal, T., Donche, V., Gijbels, D., Van Petegem, P. (2015). The development of students’ motivation in the transition from secondary to higher education: a longitudinal study. Learning and Individual differences, 39, 114–123. https://doi.org/10.1016/j.lindif.2015.03.001
Donche, V., Coertjens, L., Van Daal, T., De Maeyer, S., Van Petegem, P. (2014). Understanding differences in student learning and academic achievement in first year higher education: an integrated research perspective. In: Gijbels, D. (ed.). Learning patterns in higher education: dimensions and research perspectives (pp. 214–231). London: Routledge.
Appendix Measurement invariance over time
Appendix Measurement invariance over time
Model description | χ2 | df | CFI | RMSEA | BIC | ∆χ2 | ∆df | p value | ∆CFI | |
---|---|---|---|---|---|---|---|---|---|---|
Intrinsic motivation | Baseline | 3.12 | 3 | 1.000 | 0.01 | 8504.19 | ||||
Invariant loadings | 6.59 | 5 | 0.999 | 0.02 | 8493.00 | 3.48 | 2 | 0.18 | 0.001 | |
Invariant intercepts | 18.00 | 8 | 0.997 | 0.04 | 8484.90 | 11.41 | 3 | 0.01 | 0.002 | |
Identified regulation | Baseline | 1.33 | 3 | 1.000 | < 0.001 | 8688.56 | ||||
Invariant loadings | 5.32 | 5 | 1.000 | 0.01 | 8678.89 | 4.00 | 2 | 0.14 | 0.000 | |
Invariant intercepts | 11.72 | 8 | 0.996 | 0.02 | 8664.78 | 6.39 | 3 | 0.09 | 0.004 | |
Introjected regulation | Baseline | 9.73 | 5 | 0.997 | 0.03 | 11,284.38 | ||||
Invariant loadings | 11.04 | 7 | 0.997 | 0.03 | 11,272.03 | 1.32 | 2 | 0.52 | 0.000 | |
Invariant intercepts | 15.77 | 10 | 0.996 | 0.03 | 11,256.26 | 4.73 | 3 | 0.19 | 0.001 | |
External regulation | Baseline | 9.42 | 5 | 0.998 | 0.03 | 10,122.68 | ||||
Invariant loadings | 9.94 | 7 | 0.998 | 0.02 | 10,109.54 | 0.52 | 2 | 0.77 | 0.000 | |
Invariant intercepts | 16.29 | 10 | 0.997 | 0.03 | 10,095.38 | 6.35 | 3 | 0.10 | 0.001 | |
Amotivation | Baseline | 7.76 | 5 | 0.998 | 0.02 | 8510.40 | ||||
Invariant loadings | 8.74 | 7 | 0.999 | 0.02 | 8497.72 | 0.98 | 2 | 0.61 | 0.001 | |
Invariant intercepts | 16.80 | 10 | 0.995 | 0.03 | 8485.28 | 8.06 | 3 | 0.04 | 0.004 | |
Social integration | Baseline | 313.78 | 47 | 0.937 | 0.08 | 24,351.83 | ||||
Invariant loadings | 323.89 | 52 | 0.936 | 0.08 | 24,327.78 | 10.12 | 5 | 0.07 | 0.001 | |
Invariant intercepts | 326.78 | 58 | 0.937 | 0.07 | 24,289.66 | 2.88 | 6 | 0.82 | 0.001 |
Rights and permissions
About this article
Cite this article
Noyens, D., Donche, V., Coertjens, L. et al. The directional links between students’ academic motivation and social integration during the first year of higher education. Eur J Psychol Educ 34, 67–86 (2019). https://doi.org/10.1007/s10212-017-0365-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10212-017-0365-6