Motivation at school: Differentiation between and within school subjects matters in the prediction of academic achievement

Contemporary Educational Psychology

Volumn 54, Issue , 2018, Pages 42-54

  Guay, Frédéric ^a   Bureau, Julien S ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85047321011     PISSN: 0361476X     EISSN: 10902384     Source Type: Journal    
DOI: 10.1016/j.cedpsych.2018.05.004     Document Type: Review

References (54)

1. Ajzen, I., Attitudes, personality, and behavior. 2005, McGraw-Hill Education, Maidenhead, UK.
2. Asparouhov, T., Muthén, B., Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal 16:3 (2009), 397–438, 10.1080/10705510903008204.
3. Bandura, A., Editorial. American Journal of Health Promotion 12:1 (1997), 8–10, 10.4278/0890-1171-12.1.8.
4. Bollen, K.A., Curran, P.J., Latent curve models: A structural equation perspective, Vol. 467, 2006, John Wiley & Sons, Hoboken, New Jersey.
5. Bong, M., Between- and within-domain relations of academic motivation among middle and high school students: Self-efficacy, task value, and achievement goals. Journal of Educational Psychology 93:1 (2001), 23–34, 10.1037/0022-0663.93.1.23.
6. Bong, M., Predictive utility of subject-, task-, and problem-specific self–efficacy judgments for immediate and delayed academic performances. The Journal of Experimental Education 70:2 (2002), 133–162, 10.1080/0022-0970209599503.
7. Browne, M.W., Cudeck, R., Alternative ways of assessing model fit. Bollen, K.A., Long, J.S., (eds.) Testing structural equations model, 1993, Sage Focus Editions, Newbury Park, CA, 136–162.
8. Chanal, J., Guay, F., Are autonomous and controlled motivations school-subjects-specific?. PLoS ONE, 10(8), 2015, e0134660, 10.1371/journal.pone.0134660.
9. Davey, A., Shanahan, M.J., Schafer, J.L., Correcting for selective nonresponse in the National Longitudinal Survey of Youth using multiple imputation. Journal of Human Resources 36 (2001), 500–519, 10.2307/3069628.
10. Deci, E.L., Ryan, R.M., The general causality orientations scale: Self-determination in personality. Journal of Research in Personality 19:2 (1985), 109–134, 10.1016/0092-6566(85)90023-6.
11. Deci, E.L., Ryan, R.M., Guay, F., Self-determination theory and actualization of human potential. McInerney, D., Marsh, H., Craven, R., Guay, F., (eds.) Theory driving research: New wave perspectives on self processes and human development, 2013, Information Age Press, Charlotte, NC, 109–133.
12. Deci, E.L., Ryan, R.M., Williams, G.C., Need satisfaction and the self-regulation of learning. Learning and Individual Differences 8:3 (1996), 165–183, 10.1016/S1041-6080(96)90013-8.
13. Eccles, J., Wigfield, A., Harold, R.D., Blumenfeld, P., Age and gender differences in children's self- and task perceptions during elementary school. Child Development 64:3 (1993), 830–847, 10.1111/j.1467-8624.1993.tb02946.x.
14. Gignac, G.E., Watkins, M.W., Bifactor modeling and the estimation of model-based reliability in the WAIS-IV. Multivariate Behavioral Research 48:5 (2013), 639–662.
15. Gottfried, A.E., Academic intrinsic motivation in elementary and junior high school students. Journal of Educational Psychology 77:6 (1985), 631–645.
16. Gottfried, A.E., Academic intrinsic motivation in young elementary school children. Journal of Educational Psychology 82:3 (1990), 525–538, 10.1037/0022-0663.82.3.525.
17. Green, J., Martin, A.J., Marsh, H.W., Motivation and engagement in English, mathematics and science high school subjects: Towards an understanding of multidimensional domain specificity. Learning and Individual Differences 17:3 (2007), 269–279, 10.1016/j.lindif.2006.12.003.
18. Guay, F., Chanal, J., Ratelle, C.F., Marsh, H.W., Larose, S., Boivin, M., Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children. British Journal of Educational Psychology 80:4 (2010), 711–735, 10.1348/000709910X499084.
19. Guay, F., Lessard, V., & Dubois, P. (2016). How can we create better learning contexts for children? Promoting students’ autonomous motivation as a way to foster enhanced educational outcomes. In J. Wang, W.C., Liu, & R.M. Ryan (Eds.), Building autonomous learners (pp. 83–106). Singapore: Springer Singapore. http://doi.org/10.1007/978-981-287-630-0_5.
20. Guay, F., Morin, A.J.S., Litalien, D., Valois, P., Vallerand, R.J., Application of exploratory structural equation modeling to evaluate the academic motivation scale. The Journal of Experimental Education 83:1 (2015), 51–82, 10.1080/00220973.2013.876231.
21. Guay, F., Ratelle, C.F., Chanal, J., Optimal learning in optimal contexts: The role of self-determination in education. Canadian Psychology/Psychologie canadienne 49:3 (2008), 233–240, 10.1037/a0012758.
22. Gunnell, K.E., Gaudreau, P., Testing a bi-factor model to disentangle general and specific factors of motivation in self-determination theory. Personality and Individual Differences 81 (2015), 35–40, 10.1016/j.paid.2014.12.059.
23. Howard, J. L., Gagné, M., Morin, A. J., & Forest, J. (2016). Using bifactor exploratory structural equation modeling to test for a continuum structure of motivation. Journal of Management. 0149206316645653.
24. Howard, J.L., Gagné, M., Bureau, J.S., Testing a continuum structure of self-determined motivation: A meta-analysis. Psychological Bulletin 143 (2017), 1346–1377.
25. Huang, C., Discriminant and criterion-related validity of achievement goals in predicting academic achievement: A meta-analysis. Journal of Educational Psychology, 104(1), 2012, 48, 10.1037/a0026223.
26. Lance, C.E., Butts, M.M., Michels, L.C., The sources of four commonly reported cutoff criteria: What did they really say?. Organizational Research Methods 9 (2006), 202–220.
27. Linnenbrink, E.A., Pintrich, P.R., Motivation as an enabler for academic success. School Psychology Review 31:3 (2002), 313–327.
28. Litalien, D., Guay, F., Morin, A.J., Motivation for PhD studies: Scale development and validation. Learning and Individual Differences 41 (2015), 1–13.
29. Marsh, H.W., Morin, A.J.S., Parker, P.D., Kaur, G., Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology 10 (2014), 85–110, 10.1146/annurev-clinpsy-032813-153700.
30. Marsh, H.W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A.J., Trautwein, U., Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching. Structural Equation Modeling: A Multidisciplinary Journal 16:3 (2009), 439–476, 10.1080/10705510903008220.
31. Marsh, H.W., Yeung, A.S., Top-down, bottom-up, and horizontal models: The direction of causality in multidimensional, hierarchical self-concept models. Journal of Personality and Social Psychology 75:2 (1998), 509–527, 10.1037/0022-3514.75.2.509.
32. McDonald, R.P., Theoretical foundations of principal factor analysis and alpha factor analysis. British Journal of Mathematics and Statistical Psychology 23 (1970), 1–21, 10.1111/j.2044-8317.1970.tb00432.x.
33. Mega, C., Ronconi, L., De Beni, R., What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology 106:1 (2014), 121–131, 10.1037/a0033546.
34. Morin, A.J.S., Arens, A.K., Marsh, H.W., A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal 23:1 (2016), 116–139, 10.1080/10705511.2014.961800.
35. Morin, A.J.S., Marsh, H.W., Nagengast, B., Exploratory structural equation modeling. Hancock, G.R., Mueller, R.O., (eds.) Structural equation modeling: A second course, 2nd ed., 2013, Information Age Publishing, Charlotte, NC, 395–436.
36. Muthén, L.K., Muthén, B.O., Mplus user's guide. 7th ed., 2012, Muthén & Muthén, Los Angeles, CA.
37. Otis, N., Grouzet, F.M., Pelletier, L.G., Latent motivational change in an academic setting: A 3-year longitudinal study. Journal of Educational Psychology 97:2 (2005), 170–183, 10.1037/0022-0663.97.2.170.
38. Perreira, T.A., Morin, A.J., Hebert, M., Gillet, N., Houle, S.A., Berta, W., The short form of the Workplace Affective Commitment Multidimensional Questionnaire (WACMQ-S): A bifactor-ESEM approach among healthcare professionals. Journal of Vocational Behavior 106 (2018), 62–83.
39. Peugh, J.L., Enders, C.K., Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of Educational Research 74:4 (2004), 525–556, 10.3102/00346543074004525.
40. Ratelle, C.F., Guay, F., Vallerand, R.J., Larose, S., Senécal, C., Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis. Journal of Educational Psychology 99:4 (2007), 734–746, 10.1037/0022-0663.99.4.734.
41. Ryan, R.M., Connell, J.P., Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of Personality and Social Psychology 57:5 (1989), 749–761, 10.1037/0022-3514.57.5.749.
42. Ryan, R.M., Deci, E.L., Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist 55 (2000), 68–78.
43. Ryan, R.M., Deci, E.L., Active human nature: Self-determination theory and the promotion and maintenance of sport, exercise, and health. Hagger, M.S., Chatzisarantis, N.L.D., (eds.) Intrinsic motivation and self-determination in exercise and sport, 2007, Human Kinetics, Champaign, IL, 1–19.
44. Ryan, R.M., Deci, E.L., Self-determination theory: Basic psychological needs in motivation, development, and wellness. 2017, Guilford Publishing, New York, NY.
45. Schumacher, R.E., Lomax, R.G., A beginner's guide to SEM. 1996, Lawrence, Mahwah, NJ.
46. Shen, B., McCaughtry, N., Martin, J., The influence of domain specificity on motivation in physical education. Research Quarterly for Exercise and Sport 79:3 (2008), 333–343.
47. Sijtsma, K., Reliability beyond theory and into practice. Psychometrika 74:1 (2009), 169–173, 10.1007/s11336-008-9103-y.
48. Sijtsma, K., On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika 74:1 (2009), 107–120, 10.1007/s11336-008-9101-0.
49. Vallerand, R.J., Toward a hierarchical model of intrinsic and extrinsic motivation. Advances in Experimental Social Psychology 29 (1997), 271–360, 10.1016/S0065-2601(08)60019-2.
50. Vallerand, R.J., Blais, M.R., Brière, N.M., Pelletier, L.G., Construction et validation de l'échelle de motivation en éducation (EME) [Construction and validation of the Academic Motivation Scale (AMS)]. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement 21:3 (1989), 323–349, 10.1037/h0079855.
51. Vallerand, R.J., Pelletier, L.G., Blais, M.R., Briere, N.M., Senecal, C., Vallieres, E.F., The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement 52:4 (1992), 1003–1017, 10.1177/0013164492052004025.
52. Vallerand, R.J., Pelletier, L.G., Blais, M.R., Brière, N.M., Senecal, C., Vallieres, E.F., On the assessment of intrinsic, extrinsic, and amotivation in education: Evidence on the concurrent and construct validity of the Academic Motivation Scale. Educational and Psychological Measurement 53:1 (1993), 159–172, 10.1177/0013164493053001018.
53. Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., Lens, W., Motivational profiles from a self-determination perspective: The quality of motivation matters. Journal of Educational Psychology 101:3 (2009), 671–688, 10.1037/a0015083.
54. Wentzel, K., Wigfield, A., (eds.) Handbook of motivation at school, 2009, Routledge, New York, NY.