A synthesis of the contemporary literature indicates that longitudinal examination of self-efficacy beliefs in educational contexts has been limited to a few notable studies. The present study, utilizing a longitudinal research design, makes attempts to explore the distal impact of students’ enactive learning experiences on their academic self-efficacy beliefs. More importantly, apart from this research focus, we also examine the interrelations between self-efficacy and three major motivation-related attributes of engagement (e.g., absorption) on students’ achievement outcomes in the subject mathematics. This avenue of inquiry, for example, stipulates motivation-related attributes of engagement as potential consequences and antecedents of self-efficacy beliefs. 326 Year 10 students (185 girls, 141 boys) participated in this investigation. We administered a number of Likert-scale questionnaires on multiple occasions over a two-year period, using SEM to analyze the repeated data. MPlus 7.11 yielded some key findings for discussion and educational consideration, for example: the positive influence of Time 1 enactive learning experience on Time 2 self-efficacy and Time 3 motivation-related attributes of engagement; and the positive influence of Time 2 and Time 4 self-efficacy beliefs on Time 5 achievement outcomes. Finally, evidence obtained indicated the mediating mechanisms of both self-efficacy and motivation-related attributes.
Published in | American Journal of Applied Psychology (Volume 3, Issue 4) |
DOI | 10.11648/j.ajap.20140304.11 |
Page(s) | 80-91 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Personal Self-Efficacy, Motivation-Related Attributes of Engagement, Longitudinal Examination, Distal Impact
[1] | Bandura, A., Social foundations of thought and action: A social cognitive theory. 1986, Englewood Cliffs, NJ: Pren-tice-Hall. |
[2] | Bandura, A., Self-efficacy: The exercise of control. 1997, New York: W. H. Freeman & Co. |
[3] | Pajares, F., Self-efficacy beliefs in academic settings. Review of Educational Research, 1996. 66(4): p. 543-578. |
[4] | Schunk, D.H., Self-efficacy and education and instruction, in Self-efficacy, adaptation, and adjust-ment: Theory, research and application, J.E. Maddux, Editor. 1995, Plenum Press: New York. p. 283-301. |
[5] | Liem, A.D., S. Lau, and Y. Nie, The role of self-efficacy, task value, and achievement goals in pre-dicting learning strategies, task disengagement, peer relationship, and achievement outcome. Contemporary Educa-tional Psychology, 2008. 33(4): p. 486-512. |
[6] | Fenollar, P., S. Román, and P.J. Cuestas, University students' aca-demic performance: An integrative conceptual framework and empirical analysis. British Journal of Educational Psy-chology, 2007. 77(Pt 4): p. 873-891. |
[7] | Diseth, Å., Self-efficacy, goal orientations and learning strategies as me-diators between preceding and subsequent academic achievement. Learning and Individual Differences, 2011. 21(2): p. 191-195. |
[8] | Fast, L.A., et al., Does math self-efficacy mediate the effect of perceived classroom environment on standardized math performance? Journal of Educational Psychology, 2010. 102(3): p. 729-740. |
[9] | Martin, A.J., et al., Longitudinal modelling of academic buoyancy and motivation: Do the 5Cs hold up over time? British Journal of Educational Psychology, 2010. 80(3): p. 473-496. |
[10] | Pajares, F. and D. Miller, Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 1994. 86: p. 193-203. |
[11] | Sins, P.H.M., et al., Motivation and performance within a collaborative computer-based modeling task: Relations between students' achievement goal orientation, self-efficacy, cognitive processing, and achievement. Contemporary Educational Psychology, 2008. 33(1): p. 58-77. |
[12] | Phan, H.P., Students' academic performance and various cognitive processes of learning: An integrative framework and empirical analysis. Educational Psychology, 2010. 30(3): p. 297-322. |
[13] | Skaalvik, E.M. and R.J. Rankin, Self-concept, self-efficacy and achievement in mathematics: A test of causal relations. , in Annual Meeting of the American Educational Research Association. 1998: San Diego, CA. |
[14] | Bong, M., Role of self-efficacy and task-value in predicting college students’ course perfor-mance and future enrollment intentions. Contemporary Educational Psychology, 2001. 26: p. 553-570. |
[15] | Bong, M., Stability and structure of self-efficacy, task-value, and achievement goals and consistency of their relations across specific and general academic contexts and across the school year, in American Educational Research Association (AERA). New Orleans, LA, 2002. 2002: New Orleans, LA. |
[16] | Marsh, H.W. and A.S. Yeung, Causal effects of academic self-concept on academic achievement: Structural equation models of longitudinal data. Journal of Educa-tional Psychology, 1997. 89(1): p. 41-54. |
[17] | Marsh, H.W. and A.S. Yeung, Longitudinal structural equation models of academic self-concept and achievement: Gender differences in the development of math and English constructs. American Educational Research Journal, 1998. 35(4): p. 705-738. |
[18] | Schunk, D.H., P.R. Pintrich, and J.L. Meece, Motivation in education: Theory, research, and applications. 3rd ed. 2008, Upper Saddle River, NJ: Pearson, Merrill, Prentice Hall. |
[19] | Pajares, F., Self-efficacy beliefs of adolescents, in Adolscence and education, F. Pajares and T. Urdan, Editors. 2006, Information Age: Greenwich, CT. p. 339-367. |
[20] | Pajares, F. and J. Kranzler, Self-efficacy beliefs and general mental ability in mathematical problem solving. Contemporary Educational Psychology, 1995. 20: p. 426-443. |
[21] | Lau, S., A.D. Liem, and Y. Nie, Task - and self-related pathways to deep learning: The mediating role of achievement goals, classroom attentiveness, and group participation. British Journal of Educational Psychology, 2008. 78(4): p. 639-662. |
[22] | Lent, R.W., F.G. Lopez, and K.J. Bieschke, Mathematics self-efficacy: Sources and relation to science-based career choice. Journal of Counseling Psychology, 1991. 38(4): p. 424-430. |
[23] | Britner, S.L. and F. Pajares, Sources of science self-efficacy beliefs of middle school students. Journal of Research in Science Teaching, 2006. 43(5): p. 485-499. |
[24] | Hampton, N.Z., Sources of academic self-efficacy scale: An assessment tool for rehabitation counselors. Rehabilitation Counseling Bulletin, 1998. 41(4): p. 374-389. |
[25] | Pajares, F., J. Johnson, J, and E.L. Usher, Sources of writing self-efficacy beliefs of elementary, middle, and high school students. Research in the Teaching of English, 2007. 42(1): p. 104-120. |
[26] | Phan, H.P., Informational sources, self-efficacy, and achievement: A temporally displaced approach. Educational Psychology, 2012. 32(6): p. 699 - 726. |
[27] | Lopez, F.G. and R. Lent, Sources of mathematics self-efficacy in high school students. Career Development Quarterly, 1992. 41(1): p. 3-12. |
[28] | Carini, R.M., G.D. Kuh, and S.P. Klein, Student engagement and student learning: Testing the linkages. Research in Higher Education, 2006. 47(1): p. 1 - 32. |
[29] | Hu, S. and G.D. Kuh, Being (dis)engaged in educationally purposeful activities: The influences of student and institutional characteristics, in American Educational Research Association Annual Conference. 2001: Seattle, WA. |
[30] | Fredricks, J.A., P.C. Blumenfeld, and A.H. Paris, School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 2004. 74(1): p. 59-109. |
[31] | Pace, C.R., Measuring the quality of college student experiences. An account of the development and use of the College Student Experience Questionnaire. 1984, Higher Education Research Institute: Los Angeles, CA. |
[32] | Schaufeli, W.B., et al., The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 2002. 3: p. 71 - 92. |
[33] | Schaufeli, W.B. and A. Bakker, Utrecht Work Engagement Scale: Preliminary Manual [Version 1.1, December 2004]. 2004, Utrecht University. |
[34] | Trowler, V., Student engagement literature review. 2010, The Higher Education Academy: Lancaster University, Department of Educational Research. |
[35] | Schaufeli, W.B., et al., Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 2002. 33(5): p. 464 - 481. |
[36] | Hakanen, J.H. and W.B. Schaufeli, Do burnout and work engagement predict depressive symptoms and life satisfaction? A three-wave seven-year prospective study. Journal of Affective Disorder, 2012. 141: p. 415 - 424. |
[37] | Seppala, P., et al., The construct validity of the Utrecht Work Engagement Scale: Multisample and longitudinal evidence. Journal of Happiness Studies, 2009. 10: p. 459 - 481. |
[38] | Naude, J.L.P. and S. Rothmann, The validation of the Utrecht Work Engagement Scale for Emergency Medical Technicians in Gauteng. South African Journal of Economic and Management Sciences, 2004. 7(3): p. 459 - 468. |
[39] | Klassen, R.M., et al., Teacher's engagement at work: An international validation study. The Journal of Experimental Education, 2012. 80(4): p. 337 - 2012. |
[40] | Adhiambo, W.M., A.J. Odwar, and A. Mildred, The relationship among school adjustment, gender and academic achievement amongst secondary school students in Kisumu District Kenya. Journal of Emerging Trends in Educational Research and Policy Studies, 2011. 2(6): p. 493 - 497. |
[41] | Salmela-Aro, K., A. Tolvanen, and J.-E. Nurmi, Achievement strategies during studies predict early career burnout and engagement. Journal of Vocational Behavior, 2009. |
[42] | Caliskan, B.O.O. and B.A. Mercangoz, Satisfaction and academic engagement among undergraduate students: A case study in Istanbul University. International Journal of Research in Business and Social Science, 2013. 2(4): p. 84 - 92. |
[43] | Rogosa, D., Causal models in longitudinal research: Rationale, formulation, and interpretation, in Longitudinal research in the study of behaviour and development, J.R. Nesselroade and P.B. Balles, Editors. 1979, Academic Press: New York. p. 263-302. |
[44] | Usher, E.L. and F. Pajares, Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 2008. 78(4): p. 751-796. |
[45] | Matsui, T., K. Matsui, and R. Ohnishi, Mechanisms underlying math self-efficacy learning of college students. Journal of Vocational Behavior, 1990. 37: p. 225-238. |
[46] | Usher, E.L. and F. Pajares, Sources of academic and self-regulatory efficacy beliefs of entering middle school students. Contemporary Educational Psychology, 2006. 31: p. 125 - 141. |
[47] | Author, Title: C ( Exploring students’.....). 2009. |
[48] | Byrne, B.M., Structural equation modelling with LISREL, PRELIS, and SIMPLIS. 1998, Mahwah, NJ: Erlbaum. |
[49] | Kline, R.B., Principles and practice of structural equation modeling 3rd ed. 2011, New York, NY: The Guilford Press. |
[50] | Marsh, H.W. and D. Hocevar, Application of confirmatory factor analysis to the study of self-concept: first - and higher order factor models and their invariance across groups. Psychological Bulletin, 1985. 97: p. 562 - 582. |
[51] | Bentler, P.M., Comparative fit indexes in structural models. Psychological Bulletin, 1990. 107(2): p. 238-46. |
[52] | Tucker, L.R. and C. Lewis, A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 1973. 38: p. 1 - 10. |
[53] | Browne, M.W. and R. Cudek, Alternative ways of assessing model fit, in Testing structural equation models, K.A. Bollen and J. Scott Long, Editors. 1993, Sage: Newbury Park, CA. p. 136 - 162. |
[54] | Author, Title: A. 2012. |
[55] | Author, Title: D. 2012. |
[56] | Pintrich, P.R., et al., A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). 1991, Ann Arbor, MI: National Centre for Research to Improve Postsecondary Teaching and Learning. |
[57] | Pintrich, P.R., et al., Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 1993. 53: p. 810-814. |
[58] | Byrne, B.M., Structural equation modeling with AMOS: Basic concepts, applications, and programming. 2nd ed. 2010, New York, NY: Routledge. |
[59] | Loehlin, J.C., Latent variable models: An introduction to factor, path, and structural equation analysis. 4th ed. 2004, Mahwah, NJ: Lawrence Erlbaum Associates, Publishers. |
[60] | Muthén, L.K. and B.O. Muthén, Mplus User's Guide. 7th ed. 1998 - 2012, Los Angeles, CA: Muthén & Muthén. |
[61] | Jöreskog, K.G. and D. Sörbom, LISREL 8: User's reference guide [software manual]. 2001, Chicago: Scientific Software. |
[62] | Yuan, K.H. and P.M. Bentler, Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data, in Sociological Methodology 2000, M.E. Sobel and M.P. Becker, Editors. 2000, The American Sociological Association: Washington, DC. p. 165 - 200. |
[63] | Wang, J. and X. Wang, Structural equation modeling: Applications using Mplus. 2012, West Sussex, UK: John Wiley & Sons Ltd. |
[64] | Pajares, F., Self-Efficacy beliefs and mathematical problem-solving of gifted students. Contemporary Educational Psychology, 1996. 21: p. 325-344. |
[65] | Pajares, F. and G. Valiante, Influence of self-efficacy on elementary students' writing. The Journal of Educational Research, 1997. 90: p. 353-360. |
[66] | Martin, A.J. and H.W. Marsh, Academic buoyancy: Towards an understanding of students' everyday academic resilience. Journal of School Psychology, 2008. 46(1): p. 53-83. |
[67] | Schunk, D.H., Modeling and attributional effects on children's achievement: A self-efficacy analysis. Journal of Educational Psychology, 1981. 73: p. 93-105. |
[68] | Schunk, D.H. and A.R. Hanson, Peer models: Influence on children's self-efficacy and achievement. Journal of Educational Psychology, 1985. 77(3): p. 313-322. |
[69] | Schunk, D.H., Peer models and children's behavioral change. Review of Educational Research, 1987. 57(2): p. 149-174. |
[70] | Schunk, D.H., A.R. Hanson, and P.D. Cox, Peer-model attributes and children's achievement behaviors. Journal of Educational Psychology, 1987. 79(1): p. 54-61. |
[71] | Schunk, D.H. and A.R. Hanson, Influence of peer-model attributes on children's beliefs and learning. Journal of Educational Psychology, 1989. 81(3): p. 431-434. |
[72] | Schunk, D.H., Effects of effort attributional feedback on children's perceived self-efficacy and achievement. Journal of Educational Psychology, 1982. 74: p. 548-556. |
[73] | Schunk, D.H., Ability versus effort attributional feedback: Differential effects on self-efficacy and achievement. Journal of Educational Psychology, 1983. 75: p. 848-856. |
[74] | Schunk, D.H., Sequential attributional feedback and children's achievement behaviors. Journal of Educational Psychology, 1984. 76: p. 1159-1169. |
[75] | Hancock, G.R. and F.R. Lawrence, Using latent growth models to evaluate longitudinal change, in Structural equation modeling: A second course, G.R. Hancock and R.O. Mueller, Editors. 2006, Information Age Publishing: Greenwich, Connecticut. p. 171-196. |
[76] | Bollen, K.A. and P.J. Curran, Latent curve models: A structural equation perspective. Wiley series in probability and statistics, ed. W.A. Shewhart and S.S. Wilks. 2006, Hoboken, NJ: Wiley. |
[77] | Duncan, T.E., et al., An introduction to latent variable growth curve modelling: Concepts, issues, and applications. 1999, Mahwah, NJ: Erlbaum. |
APA Style
Huy P. Phan, Bing H. Ngu. (2014). Longitudinal Examination of Personal Self-Efficacy and Engagement-Related Attributes: How Do they Relate. American Journal of Applied Psychology, 3(4), 80-91. https://doi.org/10.11648/j.ajap.20140304.11
ACS Style
Huy P. Phan; Bing H. Ngu. Longitudinal Examination of Personal Self-Efficacy and Engagement-Related Attributes: How Do they Relate. Am. J. Appl. Psychol. 2014, 3(4), 80-91. doi: 10.11648/j.ajap.20140304.11
AMA Style
Huy P. Phan, Bing H. Ngu. Longitudinal Examination of Personal Self-Efficacy and Engagement-Related Attributes: How Do they Relate. Am J Appl Psychol. 2014;3(4):80-91. doi: 10.11648/j.ajap.20140304.11
@article{10.11648/j.ajap.20140304.11, author = {Huy P. Phan and Bing H. Ngu}, title = {Longitudinal Examination of Personal Self-Efficacy and Engagement-Related Attributes: How Do they Relate}, journal = {American Journal of Applied Psychology}, volume = {3}, number = {4}, pages = {80-91}, doi = {10.11648/j.ajap.20140304.11}, url = {https://doi.org/10.11648/j.ajap.20140304.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20140304.11}, abstract = {A synthesis of the contemporary literature indicates that longitudinal examination of self-efficacy beliefs in educational contexts has been limited to a few notable studies. The present study, utilizing a longitudinal research design, makes attempts to explore the distal impact of students’ enactive learning experiences on their academic self-efficacy beliefs. More importantly, apart from this research focus, we also examine the interrelations between self-efficacy and three major motivation-related attributes of engagement (e.g., absorption) on students’ achievement outcomes in the subject mathematics. This avenue of inquiry, for example, stipulates motivation-related attributes of engagement as potential consequences and antecedents of self-efficacy beliefs. 326 Year 10 students (185 girls, 141 boys) participated in this investigation. We administered a number of Likert-scale questionnaires on multiple occasions over a two-year period, using SEM to analyze the repeated data. MPlus 7.11 yielded some key findings for discussion and educational consideration, for example: the positive influence of Time 1 enactive learning experience on Time 2 self-efficacy and Time 3 motivation-related attributes of engagement; and the positive influence of Time 2 and Time 4 self-efficacy beliefs on Time 5 achievement outcomes. Finally, evidence obtained indicated the mediating mechanisms of both self-efficacy and motivation-related attributes.}, year = {2014} }
TY - JOUR T1 - Longitudinal Examination of Personal Self-Efficacy and Engagement-Related Attributes: How Do they Relate AU - Huy P. Phan AU - Bing H. Ngu Y1 - 2014/06/20 PY - 2014 N1 - https://doi.org/10.11648/j.ajap.20140304.11 DO - 10.11648/j.ajap.20140304.11 T2 - American Journal of Applied Psychology JF - American Journal of Applied Psychology JO - American Journal of Applied Psychology SP - 80 EP - 91 PB - Science Publishing Group SN - 2328-5672 UR - https://doi.org/10.11648/j.ajap.20140304.11 AB - A synthesis of the contemporary literature indicates that longitudinal examination of self-efficacy beliefs in educational contexts has been limited to a few notable studies. The present study, utilizing a longitudinal research design, makes attempts to explore the distal impact of students’ enactive learning experiences on their academic self-efficacy beliefs. More importantly, apart from this research focus, we also examine the interrelations between self-efficacy and three major motivation-related attributes of engagement (e.g., absorption) on students’ achievement outcomes in the subject mathematics. This avenue of inquiry, for example, stipulates motivation-related attributes of engagement as potential consequences and antecedents of self-efficacy beliefs. 326 Year 10 students (185 girls, 141 boys) participated in this investigation. We administered a number of Likert-scale questionnaires on multiple occasions over a two-year period, using SEM to analyze the repeated data. MPlus 7.11 yielded some key findings for discussion and educational consideration, for example: the positive influence of Time 1 enactive learning experience on Time 2 self-efficacy and Time 3 motivation-related attributes of engagement; and the positive influence of Time 2 and Time 4 self-efficacy beliefs on Time 5 achievement outcomes. Finally, evidence obtained indicated the mediating mechanisms of both self-efficacy and motivation-related attributes. VL - 3 IS - 4 ER -