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European Journal of Psychology of Education

, Volume 34, Issue 2, pp 457–478 | Cite as

Does self-efficacy contribute to the development of students’ motivation across the transition from secondary to higher education?

  • Eva KyndtEmail author
  • Vincent Donche
  • Liesje Coertjens
  • Tine van Daal
  • David Gijbels
  • Peter Van Petegem
Article

Abstract

The transition from secondary to higher education is a challenging process, in which the development of students’ motivation plays a pivotal role. The current study examines whether self-efficacy—and how it develops—is able to explain the growth in motivation. The current longitudinal study included five waves, across a period of 25 months (i.e. start of the final year of secondary education until the beginning of the second year of higher education). Results show—contrary to our hypothesis based on the self-determination theory and social cognitive theory—that the growth in autonomous motivation positively predicts the growth in self-efficacy and that this ‘reversed’ model is superior in terms of fit and explained variance to the hypothesised model.

Keywords

Motivation Self-efficacy Transition Longitudinal growth analysis Higher education 

Notes

References

  1. Alivernini, F., & Lucidi, F. (2011). Relationship between social context, self-efficacy, motivation, academic achievement, and intention to drop out of high school: a longitudinal study. The Journal of Educational Research, 104(4), 241–252.  https://doi.org/10.1080/00220671003728062.Google Scholar
  2. Armor, D. A., & Taylor, S. E. (1998). Situated optimism: specific outcome expectancies and self-regulation. In M. A. Zanna (Ed.), Advances in experimental social psychology (pp. 309–379). New York: Academic.Google Scholar
  3. Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  4. Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148.  https://doi.org/10.1207/s15326985ep2802_3.Google Scholar
  5. Bandura, A. (1997). Self-efficacy: the exercise of control. New York, NY: Freeman.Google Scholar
  6. Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38(1), 9–44.  https://doi.org/10.1177/0149206311410606.Google Scholar
  7. Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 1206–1222.  https://doi.org/10.1111/j.1467-8624.1996.tb01791.x.Google Scholar
  8. Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: how different are they really? Educational Psychology Review, 15(1), 1–40.  https://doi.org/10.1023/A:1021302408382.Google Scholar
  9. Bouffard, T., Boileau, L., & Vezeau, C. (2001). Students’ transition from elementary to high school and changes of the relationship between motivation and academic performance. European Journal of Psychology of Education, 16(4), 589–604.  https://doi.org/10.1007/BF03173199.Google Scholar
  10. 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/10.1080/1343822.2011.614468.Google Scholar
  11. Brooman, S., & Darwent, S. (2014). Measuring the beginning: a quantitative study of the transition to higher education. Studies in Higher Education, 39(9), 1523–1541.  https://doi.org/10.1080/03075079.2013.801428.Google Scholar
  12. 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.Google Scholar
  13. Coertjens, L., Donche, V., De Maeyer, S., Vanthournout, G., & Van Petegem, P. (2013). Modeling change in learning strategies throughout higher education: a multi-indicator latent growth perspective. PLoS One, 8(7), e67854.  https://doi.org/10.1371/journal.pone.0067854.Google Scholar
  14. 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.Google Scholar
  15. Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: a 40-year meta-analysis. Psychological Bulletin, 140(4), 980–1008.  https://doi.org/10.1037/a0035661.Google Scholar
  16. Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.Google Scholar
  17. Eccles, J. S., Lord, S., & Buchanan, C. M. (1996). School transitions in early adolescence: what are we doing to our young people? In J. A. Graber & J. Brooks-Gunn (Eds.), Transitions through adolescence: Interpersonal domains and context (pp. 221–284). Mahwah, NJ: Erlbaum.Google Scholar
  18. 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.Google Scholar
  19. Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: network visualizations of relationships in psychometric data. Journal of Statistical Software, 48, 1–18.Google Scholar
  20. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error (pp. 39–50). XVIII: Journal of Marketing Research.Google Scholar
  21. Harrell, F.E. (2012). Hmisc: Harrell miscellaneous. R package version 3.9-3. Retrieved on July 19th, 2012 from http://CRAN.R-project.org/package=Hmisc
  22. Iacobucci, D. (2010). Structural equations modelling: fit indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90–98.  https://doi.org/10.1016/j.jeps.2009.09.003. Google Scholar
  23. Ishitani, T. T. (2003). A longitudinal approach to assessing attrition behavior among first-generation students: time-varying effects of pre-college characteristics. Research in Higher Education, 44(4), 433–449.  https://doi.org/10.1023/A:1024284932709.Google Scholar
  24. Müller, F. H., & Palekčić, M. (2005). Continuity of motivation in higher education: a three-year follow-up study. Review of Psychology, 12, 31–42.Google Scholar
  25. Muthén, L.K., & Muthén, B.O. (2010). Growth modeling with latent variables using Mplus: advanced growth models, survival analysis and missing data. Mplus Short Courses.Google Scholar
  26. OECD. (2010). Education at a glance 2010: OECD indicators. Paris: Centre for Educational Research and innovation.Google Scholar
  27. Otis, N., Grouzet, F. M. E., & Pelletier, L. G. (2005). Latent motivational change in an academic setting: a 3-year longitudinal study. Journal of Educational Psychology, 97(2), 170–183.  https://doi.org/10.1037/0022-0663.97.2.170.Google Scholar
  28. 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.Google Scholar
  29. Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.  https://doi.org/10.3102/00346543066004543.Google Scholar
  30. Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor: National Center for Research to Improve Postsecondary Teaching and Learning.Google Scholar
  31. Pintrich, P. E., & Schunk, D. H. (1995). Motivation in education: theory, research, and applications. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  32. R Development Core Team (2012). R: a language and environment for statistical computing. R Foundation for Statistical Computing: Vienna. Retrieved on July 19th, 2012, from http://www.R-project.org/.
  33. Ratelle, C. F., Guay, F., Larose, S., & Senécal, C. (2004). Family correlates of trajectories of academic motivation during a school transition: a semiparametric group-based approach. Journal of Educational Psychology, 96(4), 743–754.  https://doi.org/10.1037/0022-0663.96.4.743.Google Scholar
  34. Revelle, W. (2012). psych: procedures for personality and psychological research. Northwestern University, Evanston. Retrieved on July 19th, 2012 from http://personality-project.org/r/psych.manual.pdf
  35. 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.Google Scholar
  36. Rosseel, Y. (2012). lavaan: an R package for structural equation modeling. Journal of Statistical Software, 48, 1–36.Google Scholar
  37. 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.Google Scholar
  38. 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.Google Scholar
  39. Schüler, J., Sheldon, K. M., & Fröhlich, S. M. (2010). Implicit need for achievement moderates the relationship between competence need satisfaction and subsequent motivation. Journal of Research in Personality, 44(1), 1–12.  https://doi.org/10.1016/j.jrp.2009.09.002.Google Scholar
  40. Sheldon, K. M., Elliot, A. J., Kim, Y., & Kasser, T. (2001). What is satisfying about satisfying events? Testing 10 candidate psychological needs. Journal of Personality and Social Psychology, 80(2), 325–339.  https://doi.org/10.1037//O022-3514.80.2.325.Google Scholar
  41. Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26, 207-–231.Google Scholar
  42. Stajkovic, A. D., & Luthans, F. (2003). Social cognitive theory and self-efficacy: implications for motivation theory and practice. In L. W. Porter, G. A. Bigley, & R. M. Steers (Eds.), Motivation and work behavior (7th ed., pp. 126–140). Burr Ridge, IL: Irwin/McGraw-Hill.Google Scholar
  43. Vallerand, R. J., Pelletier, L. G., Blais, M. R., Brière, N. M., Sénécal, C., & Vallière, 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.Google Scholar
  44. van Daal, T., Coertjens, L., Delvaux, E., Donche, V., & Van Petegem, P. (2013). Klaar voor hoger onderwijs of arbeidsmarkt? Longitudinaal onderzoek bij laatstejaarsleerlingen secundair onderwijs. [Ready for higher education or the labour market? A longitudinal study of final year secondary education students]. Antwerpen: Garant.Google Scholar
  45. Van de Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology.  https://doi.org/10.1080/17405629.2012.686740.
  46. 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.Google Scholar
  47. 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.Google Scholar
  48. Vansteenkiste, M., Smeets, S., Soenens, B., Lens, W., Matos, L., & Deci, E. L. (2010). Autonomous and controlled regulation of performance-approach goals: their relations to perfectionism and educational outcomes. Motivation and Emotion, 34(4), 333–353.  https://doi.org/10.1007/s11031-010-9188-3.Google Scholar
  49. 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, 1–10.  https://doi.org/10.1155/2012/152747.Google Scholar
  50. Winn, S. (2002). Student motivation: a socio-economic perspective. Studies in Higher Education, 27(4), 445–457.  https://doi.org/10.1080/0307507022000011552.Google Scholar

Copyright information

© Instituto Superior de Psicologia Aplicada, Lisboa, Portugal and Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Research on Professional Learning & Development, and Lifelong LearningKU Leuven – University of LeuvenLeuvenBelgium
  2. 2.Research Group EduBronUniversity of AntwerpAntwerpBelgium
  3. 3.Psychological Sciences Research InstituteCatholic University of LouvainLouvain-la-NeuveBelgium

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