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Abbott-Chapman, J. A., Hughes, P. W., & Wyld, C. (1992). Monitoring student progress: A framework for improving student performance and reducing attrition in higher education. Hobart: National Clearinghouse for Youth Studies.
Bailey, T. H., & Phillips, L. J. (2016). The influence of motivation and adaptation on students’ subjective wellbeing, meaning in life and academic performance. Higher Education Research & Development, 35(2), 201–216. https://doi.org/10.1080/07294360.2015.1087474
Baker, S. R. (2004). Intrinsic, extrinsic, and amotivational orientations: Their role in university adjustment, stress, well-being, and subsequent academic performance. Current Psychology, 23(3), 189-202. https://doi.org/10.1007/s12144-004-1019-9
Baker, R. W., McNeil, O. V., & Siryk, B. (1985). Expectation and reality in freshman adjustment to college. Journal of Counseling Psychology, 32(1), 94. https://doi.org/10.1037/0022-018.104.22.168
Baker. R.W.. & Siryk. B. (1999). Student Adaptation to College Questionnaire (SACQ): Manual. Los Angeles: Western Psychological Services.
Bean, J. P. (1980). Dropouts and turnover: The synthesis and test of a causal model of student attrition. Research in higher education, 12(2), 155-187. https://doi.org/10.1007/BF00976194
Becher, T. (1994). The significance of disciplinary differences. Studies in Higher education, 19(2), 151-161. https://doi.org/10.1080/03075079412331382007
Biggs, J. B. (1987). Student Approaches to Learning and Studying. Research Monograph. Hawthorn: Australian Council for Educational Research Ltd.
Braxton, J. M., & Hargens, L. L. (1996). Variation among disciplines: analytical frameworks and research. In J. C. Smart (Ed.), Higher Education: Handbook of Theory and Research (Vol. 11) (pp. 1-46). New York: Agathon press.
Briggs, A. R., 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
Brown. T. A. (2014). Confirmatory factor analysis for applied research. New York: Guilford Publications.
Byrne. B. M. (2016). Structural equation modelling with AMOS: Basic concepts. applications. and programmeming. New York: Routledge.
Byrne. B. M.. Shavelson. R. J.. & Muthén. B. (1989). Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychological bulletin. 105(3). 456–466. https://doi.org/10.1037/0033-2909.105.3.456
Camilleri, A. F., Delplace, S., Frankowicz, M., Hudak, R., and Tannhäuser, A. C. (2014). Professional higher education in Europe. Characteristics, practice examples and national differences. Malta: Knowledge Innovation Centre.
Cazan. A. M. (2012). Self-regulated learning strategies - predictors of academic adjustment. Procedia-Social and Behavioral Sciences. 33(1). 104-108. https://doi.org/10.1016/j.sbspro.2012.01.092
Chemers, M. M., Hu, L. T., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational psychology, 93(1), 55-64. https://doi.org/10.1037/0022-0622.214.171.124
Chen. F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural equation modeling. 14(3). 464-504. https://doi.org/10.1080/10705510701301834
Cheung. G. W. & Rensvold. R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural equation modeling. 9(2). 233-255. https://doi.org/10.1207/S15328007SEM0902_5
Clark, M. H., Middleton, S. C., Nguyen, D., & Zwick, L. K. (2014). Mediating relationships between academic motivation, academic integration and academic performance. Learning and Individual Differences, 33(1), 30-38. https://doi.org/10.1016/j.lindif.2014.04.007
Cohen, L., Manion, L., & Morrison, K. (2011). Research methods in education (6th Edition). London: Routledge.
Credé, M., & Kuncel, N. R. (2008). Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on psychological science, 3(6), 425-453. https://doi.org/10.1111/j.1745-6924.2008.00089.x
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
Declercq, K., & Verboven, F. (2014). Enrollment and degree completion in higher education without ex ante admission standards. Leuven: Faculty of Economics And Business.
Dent, A. L., & Koenka, A. C. (2016). The relation between self-regulated learning and academic achievement across childhood and adolescence: a meta-analysis. Educational Psychology Review, 28(3), 425–474. https://doi.org/10.1007/s10648-015-9320-8
Dinsmore, D. L., & Alexander, P. A. (2012). A critical discussion of deep and surface processing: What it means, how it is measured, the role of context, and model specification. Educational Psychology Review, 24(4), 499-567. https://doi.org/10.1007/s10648-012-9198-7
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., & Van Petegem, P. (2010). The relationship between entry characteristics, learning style and academic achievement of college freshmen. In M. Poulson (Ed.), Higher education: teaching, internationalisation and student issues (pp. 277–288). New York: Nova Science Publishers.
Enders, C. K. (2010). Applied missing data analysis. London: Guilford press.
Flemish Government (2019). Hoger onderwijs in cijfers [Higher education in numbers]. Retrieved 24 March, 2020, from https://onderwijs.vlaanderen.be/nl/hoger-onderwijs-in-cijfers.
Fonteyne, L., Duyck, W., & De Fruyt, F. (2017). Program-specific prediction of academic achievement on the basis of cognitive and non-cognitive factors. Learning and Individual Differences, 56(1), 34-48. https://doi.org/10.1016/j.lindif.2017.05.003
Garriott, P. O., Love, K. M., & Tyler, K. M. (2008). Anti-Black racism, self-esteem, and the adjustment of White students in higher education. Journal of Diversity in Higher Education, 1(1), 45-58. https://doi.org/10.1037/1938-89126.96.36.199
Gerdes, H., & Mallinckrodt, B. (1994). Emotional, social, and academic adjustment of college students: A longitudinal study of retention. Journal of Counseling & Development, 72(3), 281-288. https://doi.org/10.1002/j.1556-6676.1994.tb00935.x
Glorieux, I., Laurijssen, I., & Sobczyk, O. (2014). De instroom in het hoger onderwijs van Vlaanderen: Een beschrijving van de huidige instroompopulatie en een analyse van de overgang van secundair onderwijs naar hoger onderwijs. [The inflow into higher education in Flanders. A description of the current enrolment population and an analysis of the transition from secondary education to higher education]. Leuven: Steunpunt Studie- en Schoolloopbanen.
Gregorich. S. E. (2006). Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Medical care. 44(11). DOI: 78-94. 10.1097/01.mlr.0000245454.12228.8f
Guay, F., Ratelle, C., Roy, A., & Litalien, D. (2010). Academic self-concept, autonomous academic motivation, and academic achievement: Mediating and additive effects. Learning and Individual Differences, 20(6), 644–653. https://doi.org/10.1016/j.lindif.2010.08.001
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
Hurtado, S., Han, J. C., Sáenz, V. B., Espinosa, L. L., Cabrera, N. L., & Cerna, O. S. (2007). Predicting transition and adjustment to college: Biomedical and behavioral science aspirants’ and minority students’ first year of college. Research in Higher Education, 48(7), 841-887. https://doi.org/10.1007/s11162-007-9051-x
Iacobucci, D. (2010). Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of consumer psychology, 20(1), 90-98. https://doi.org/10.1016/j.jcps.2009.09.003
Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006). What matters to student success: A review of the literature. Commissioned report for the National Symposium on Postsecondary Student Success. Washington, DC: National Postsecondary Education Cooperative.
Lizzio, A., Wilson, K., & Simons, R. (2002). University students' perceptions of the learning environment and academic outcomes: implications for theory and practice. Studies in Higher education, 27(1), 27-52. https://doi.org/10.1080/03075070120099359
Meredith. W. (1993). Measurement invariance. factor analysis and factorial invariance. Psychometrika. 58(4). 525-543. https://doi.org/10.1007/BF02294825
Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of psychological research, 3(1), 111-130. https://doi.org/10.21500/20112084.857
Muthén. L. K.. & Muthén. B. O. (2010). Mplus. Statistical Analysis With Latent Variables. User’s guide (6th ed.). Los Angeles: Muthén & Muthén.
OECD (2009), Education at a glance 2009: OECD indicators, Paris: OECD publishing.
OECD (2013), Education at a Glance 2013: OECD Indicators, Paris: OECD Publishing.
Petersen, I. H., Louw, J., & Dumont, K. (2009). Adjustment to university and academic performance among disadvantaged students in South Africa. Educational Psychology, 29(1), 99-115. https://doi.org/10.1080/01443410802521066
Prospero,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
Rice, K. G., Vergara, D. T., & Aldea, M. A. (2006). Cognitive-affective mediators of perfectionism and college student adjustment. Personality and Individual Differences, 40(3), 463-473. https://doi.org/10.1016/j.paid.2005.05.011
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
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
Schuetze, H. G., & Slowey, M. (2002). Participation and exclusion: A comparative analysis of non-traditional students and lifelong learners in higher education. Higher education, 44(3-4), 309-327. https://doi.org/10.1023/A:1019898114335
Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational psychologist, 26(3-4), 207-231. https://doi.org/10.1080/00461520.1991.9653133
Schunk, D. H., & Zimmerman, B. J. (2012). Motivation and self-regulated learning: theory, research, and applications. New York: Routledge.
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
Steinmetz, H., Schmidt, P., Tina-Booh, A., Wieczorek, S., & Schwartz, S. H. (2009). Testing measurement invariance using multigroup CFA: Differences between educational groups in human values measurement. Quality & Quantity, 43(4), 599-616. https://doi.org/10.1007/s11135-007-9143-x
The Bologna Declaration (1999). The European Higher Education Area: Joint Declaration of the European Ministers of Education, 19 June 1999, Bologna.
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
Torenbeek. M. (2011). Hop. skip and jump? The fit between secondary school and university (PhD diss.). University of Groningen. Groningen.
Torenbeek. M.. Jansen. E.. & Hofman. A. (2010). The effect of the fit between secondary and university education on first‐year student achievement. Studies in Higher Education. 35(6). 659-675. https://doi.org/10.1080/03075070903222625
van Rooij, E., Brouwer, J., Fokkens-Bruinsma, M., Jansen, E., Donche, V., & Noyens, D. (2017). A systematic review of factors related to first-year students' success in Dutch and Flemish higher education. Pedagogische studiën, 94(5), 360-405.
van Rooij, E. C., Jansen, E. P., & van de Grift, W. J. (2018). First-year university students’ academic success: the importance of academic adjustment. European Journal of Psychology of Education, 33(4), 749-767. https://doi.org/10.1007/s10212-017-0347-8
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
Vanthournout, G., Gijbels, D., Coertjens, L., Donche, V., & Van Petegem, P. (2012). Students’ persistence and academic success in a first-year professional bachelor programme: the influence of students’ learning strategies and academic motivation. Education Research International, 1–10. https://doi.org/10.1155/2012/152747
Vermunt, J. D. (1998). The regulation of constructive learning processes. British Journal of Educational Psychology, 68(2), 149–171. https://doi.org/10.1111/j.2044-8279.1998.tb01281.x
Vermunt, J. D. (2005). Relations between student learning patterns and personal and contextual factors and academic performance. Higher education, 49(3), 205-234. https://doi.org/10.1007/s10734-004-6664-2
Vermunt, J. D., & Donche, V. (2017). A learning patterns perspective on student learning in higher education: state of the art and moving forward. Educational Psychology Review, 29(2), 269–299. https://doi.org/10.1007/s10648-017-9414-6
Vermunt, J. D., & Vermetten, Y. J. (2004). Patterns in student learning: Relationships between learning strategies, conceptions of learning, and learning orientations. Educational psychology review, 16(4), 359-384. https://doi.org/10.1007/s10648-004-0005-y
Wintre. M. G.. Dilouya. B.. Pancer. S. M.. Pratt. M. W.. Birnie-Lefcovitch. S.. Polivy. J.. & Adams. G. (2011). Academic achievement in first-year university: who maintains their high school average? Higher Education. 62(4). 467-481. https://doi.org/10.1007/s10734-010-9399-2
Young, P. (2010). Generic or discipline‐specific? An exploration of the significance of discipline‐specific issues in researching and developing teaching and learning in higher education. Innovations in Education and Teaching International, 47(1), 115-124. https://doi.org/10.1080/14703290903525887