Publication Cover
Educational Psychology
An International Journal of Experimental Educational Psychology
Volume 39, 2019 - Issue 8
2,301
Views
35
CrossRef citations to date
0
Altmetric
Original Articles

Exploring the relationships between academic buoyancy, academic self-concept, and academic performance: a study of mathematics and reading among primary school students

ORCID Icon, , ORCID Icon & ORCID Icon
Pages 1068-1089 | Received 25 Jun 2018, Accepted 06 May 2019, Published online: 28 May 2019

References

  • ACER. (2005). Progressive achievement tests in mathematics (PAT-Maths) (3rd ed.). Melbourne: ACER.
  • ACER. (2008). Progressive achievement tests in reading: Comprehension, vocabulary and spelling (PAT-Reading) (4th ed.). Melbourne: ACER.
  • Australian Curriculum Assessment and Reporting Authority (ACARA). (2011, 2016). http://www.acara.edu.au/
  • Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9(1), 78–102. doi:10.1207/S15328007SEM0901_5
  • Bandura, A. (2006). Adolescent development from an agentic perspective. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 1–28). Greenwich, CO: Information Age Press.
  • Chapman, J., Tunmer, W., & Prochnow, J. E. (2000). Early reading-related skills and performance, reading self-concept, and the development of academic self-concept: A longitudinal study. Journal of Educational Psychology, 92(4), 703–708. doi:10.1037//0022-0663.92.4.703
  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. doi:10.1207/S15328007SEM0902_5
  • Coleman, J., & Hagell, A. (2007). Adolescence, risk and resilience: Against the odds (Vol. 3). London, England: John Wiley & Sons.
  • Collie, R., Martin, A., Malmberg, L., Hall, J., & Ginns, P. (2015). Academic buoyancy, students’ achievement, and the linking role of control: A cross-lagged analysis of high school students. British Journal of Educational Psychology, 85, 113–130. doi:10.1111/bjep.12066
  • Guay, F., Ratelle, C. F., 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. doi:10.1016/j.lindif.2010.08.001
  • Hagell, A. (2009). Time trends in adolescent well-being: Update 2009. London, England: Nuffield Foundation.
  • Hattie, J. (1992). Measuring the effects of schooling. Australian Journal of Education, 36(1), 5–13. 0663.87.4.624
  • Kline, R. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: The Guilford Press.
  • Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136(6), 1123–1135. doi:10.1037/a0021276
  • Malmberg, L., Hall, J., & Martin, A. J. (2013). Academic buoyancy in secondary school: Exploring patterns of convergence in English, mathematics, science, and physical education. Learning and Individual Differences, 23, 262–266. doi:10.1016/j.lindif.2012.07.014
  • Marsh, H. W. (1999). The self description questionnaire – I: SDQ-I manual. Sydney Self-concept Enhancement and Learning Facilitation (SELF) Research Centre, University of Western Sydney.
  • Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1(2), 133–163. doi:10.1111/j.1745-6916.2006.00010.x
  • Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11(3), 320–341. doi:10.1207/s15328007sem1103_2
  • Marsh, H. W., & Yeung, A. S. (1997). Causal effects of academic self-concept on academic achievement: Structural equation models of longitudinal data. Journal of Educational Psychology, 89(1), 41–54. doi:10.1037//0022-0663.89.1.41
  • Martin, A., Colmar, S., Davey, L. A., & Marsh, H. (2010). Longitudinal modelling of academic buoyancy and motivation: Do the '5Cs' hold up over time? British Journal of Educational Psychology, 80, 473–496. doi:10.1348/000709910X486376
  • Martin, A., & Marsh, H. (2006). Academic resilience and its psychological and educational correlates: A construct validity approach. Psychology in the Schools, 43(3), 267–281. doi:10.1002/pits.20149
  • Martin, A., & Marsh, H. (2008). Academic buoyancy: Towards an understanding of students' everyday academic resilience. Journal of School Psychology, 46(1), 53–83. doi:10.1016/j.jsp.2007.01.002
  • Martin, A., & Marsh, H. (2009). Academic resilience and academic buoyancy: Multidimensional and hierarchical conceptual framing of causes, correlates and cognate constructs. Oxford Review of Education, 35(3), 353–370. doi:10.1080/03054980902934639
  • Martin, A. J. (2013). Academic buoyancy and academic resilience: Exploring ‘everyday’and ‘classic’ resilience in the face of academic adversity. School Psychology International, 34(5), 488–500. doi:10.1177/0143034312472759
  • Martin, A. J. (2014). Academic buoyancy and academic outcomes: Towards a further understanding of students with attention‐deficit/hyperactivity disorder (ADHD), students without ADHD, and academic buoyancy itself. British Journal of Educational Psychology, 84(1), 86–107. doi:10.1111/bjep.12007
  • McInerney, D. M. (2000). Helping kids achieve their best: Understanding and using motivation in the classroom. Sydney, Australia: Allen and Unwin.
  • Miller, S., Connolly, P., & Maguire, L. (2013). Wellbeing, academic buoyancy and educational achievement in primary school students. International Journal of Educational Research, 62, 236–248. doi:10.1016/j.ijer.2013.05.004
  • Morales, E. E. (2000). A contextual understanding of the process of educational resilience: High achieving Dominican American students and the “resilience cycle”. Innovative Higher Education, 25(1), 7–22. doi:10.1023/A:1007580217973
  • Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.
  • Nichols, S. L., & Berliner, D. C. (2007). Collateral damage: How high-stakes testing corrupts America's schools. Cambridge, MA: Harvard Education Press.
  • Putwain, D. W. (2008). Deconstructing test anxiety. Emotional and Behavioural Difficulties, 13, 141–155. doi:10.1080/13632750802027713
  • Putwain, D. W., Connors, L., Symes, W., & Douglas-Osborn, E. (2012). Is academic buoyancy anything more than adaptive coping? Anxiety, Stress and Coping, 25(3), 349–358. doi:10.1080/10615806.2011.582459
  • Schunk, D. H., & Miller, S. D. (2002). Self-efficacy and adolescents’ motivation. In F. Pajares & T. Urdan (Eds.), Academic motivation of adolescents (pp. 29–52). Charlotte, SC: Information Age Publishing.
  • Schwartz, D., Lansford, J. E., Dodge, K. A., Pettit, G. S., & Bates, J. E. (2013). The link between harsh home environments and negative academic trajectories is exacerbated by victimization in the primary school peer group. Developmental Psychology, 49(2), 305–316. doi:10.1037/a0028249
  • Seaton, M., Parker, P., Marsh, H. W., Craven, R. G., & Yeung, A. S. (2014). The reciprocal relations between self-concept, motivation and achievement: Juxtaposing academic self-concept and achievement goal orientations for mathematics success. Educational Psychology, 34, 49–72. doi:10.1080/01443410.2013.825232
  • Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407–441. doi:10.3102/00346543046003407
  • Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological Methods, 7, 422–445. doi:10.1037/1082-989X.7.4.422
  • Valentine, J. C., DuBois, D. L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: A meta-analytic review. Educational Psychologist, 39, 111–133. doi:10.1207/s15326985ep3902_3
  • Yuan, K-H. (2005). Fit indices versus test statistics. Multivariate Behavioral Research, 40(1), 115–148. doi:10.1207/s15327906mbr4001_5

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.