PEN Academic Publishing   |  ISSN: 1554-5210

Original article | International Journal of Progressive Education 2020, Vol. 16(1) 192-204

Examining Factors for the Academic Motivation Based on the Confirmatory, the Exploratory and the Bifactor Exploratory Structural Equation Models

Seval Kula Kartal

pp. 192 - 204   |  DOI: https://doi.org/10.29329/ijpe.2020.228.14   |  Manu. Number: MANU-1906-27-0002.R1

Published online: February 09, 2020  |   Number of Views: 24  |  Number of Download: 120


Abstract

One of the aims of the current study is to specify the model providing the best fit to the data among the exploratory, the bifactor exploratory and the confirmatory structural equation models. The study compares the three models based on the model data fit statistics and item parameter estimations (factor loadings, cross-loadings, factor correlations) provided by the models. The second aim of the study is to examine correlations among the factor scores, the academic achievement and the goal orientations to provide criterion validity for the person parameter estimations of the best-fitting model. The Academic Motivation Scale was conducted on 1,858 junior and senior students. The three measurement models were compared based on the model data fit and parameter estimations. All estimations were done on the Mplus 6.0 statistical program using the Maximum Likelihood method. It was found that the bifactor exploratory structural equation model provided only trivial improvement on the model data fit relative to the exploratory structural equation model. However, the results of the study revealed that including a general factor in the model achieved a decrease in item cross-loadings. In addition, items could lie along the relative autonomy continuum in a consistent way with the Self-Determination Theory according to their general factor loadings estimated by the bifactor model. The model data fit statistics, parameter estimations and correlation coefficients indicated that the bifactor exploratory structural equation better fit to data than the other two models both theoretically and statistically.

Keywords: Academic motivation, the bifactor exploratory structural equation model, model comparison


How to Cite this Article?

APA 6th edition
Kartal, S.K. (2020). Examining Factors for the Academic Motivation Based on the Confirmatory, the Exploratory and the Bifactor Exploratory Structural Equation Models . International Journal of Progressive Education, 16(1), 192-204. doi: 10.29329/ijpe.2020.228.14

Harvard
Kartal, S. (2020). Examining Factors for the Academic Motivation Based on the Confirmatory, the Exploratory and the Bifactor Exploratory Structural Equation Models . International Journal of Progressive Education, 16(1), pp. 192-204.

Chicago 16th edition
Kartal, Seval Kula (2020). "Examining Factors for the Academic Motivation Based on the Confirmatory, the Exploratory and the Bifactor Exploratory Structural Equation Models ". International Journal of Progressive Education 16 (1):192-204. doi:10.29329/ijpe.2020.228.14.

References
  1. Akın, A., & Çetin, B. (2007). Başarı yönelimleri ölçeği: Geçerlik ve güvenirlik çalışması. Eurasian Journal of Educational Research, 26, 1-12. [Google Scholar]
  2. Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189-225. [Google Scholar]
  3. De Ayala, R. J. (2009). The theory and practice of item response theory. New York: The Guilford Press. [Google Scholar]
  4. Deci, E. L. (1975). Intrinsic motivation. New York: Plenum Press. [Google Scholar]
  5. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Springer. [Google Scholar]
  6. Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of Personality and Social Psychology, 53(6), 1024-1037. [Google Scholar]
  7. 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. [Google Scholar]
  8. Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on ıntrinsic motivation. Psychological Bulletin, 125, 627-668. [Google Scholar]
  9. Elliot, A. J., & Church, M. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of personality and Social Psychology, 72,   218-232. [Google Scholar]
  10. Elliot, A. J., & Harackiewicz, J. (1996). Approach and avoidance achievement goals and intrinsic motivation: A mediational analysis. Journal of personality and Social     Psychology, 70, 461-475. [Google Scholar]
  11. Elliot, A. J., & McGregor, H. A. (2001). A 2x2 achievement goal framework. Journal of personality and Social Psychology, 80(3), 501-519. [Google Scholar]
  12. Finney, S. J., Pieper, S. L., & Barron, K. E. (2004). Examining the psychometric properties of the achievement goal questionnaire in a general academic context. Educational and Psychological Measurement, 64(2), 365-382. [Google Scholar]
  13. Franken, R. (1994). Human motivation. Pacific Grove, CA: Brooks/Cole. [Google Scholar]
  14. Gibbons, R. D., & Hedeker, D. R. (1992). Full information item bifactor analysis.  Psychometrika, 57(3), 423-436. [Google Scholar]
  15. Grolnick, W. S., Ryan, R. M., & Deci, E. L. (1991). Inner resources for school       achievement: motivational mediators of children's perceptions of their parents. Journal of Educational Psychology, 83(4), 508-517. [Google Scholar]
  16. Gunnell, K. E., & Gaudreau, P. (2015). Testing a bifactor model to disentangle       general and specific factors of motivation in self-determination theory. Personality and Individual Differences, 81, 35-40. [Google Scholar]
  17. Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. The Electronical Journal of Business Research Methods, 6(1), 53-60. [Google Scholar]
  18. Howard, J. L., Gagne, M., & Bureau, J. S. (2017). Testing a continuum structure of self-determined motivation: A meta-analysis. Psychological Bulletin, 143(12), 1346-137. [Google Scholar]
  19. Howard, J. L., Gagne, M., Morin, A. J. S., & Forest, J. (2016). Using bifactor exploratory structural equation modeling to test for a continuum structure of motivation. Journal of Management, 2-24. [Google Scholar]
  20. Immekus, J., & Imbrie, P. K. (2008). Dimensionality assessment using the full information item bifactor analysis for graded response data an illustration with the State Metacognitive Inventory. Educational and Psychological Measurement, 68(4), 695-709. [Google Scholar]
  21. Karagüven, H. (2012). Akademik Motivasyon Ölçeğinin Türkçeye adaptasyonu. Kuram ve Uygulamada Eğitim Bilimleri, 12(4), 2599-2620. [Google Scholar]
  22. Kline, R. B. (2011). Principles and practice of structural equation modeling. NY: The Guilford Press. [Google Scholar]
  23. Kula-Kartal, S. (2018). Analyzing academic motivation scale in terms of dimensionality based on item response theory models (Doctoral dissertation). Resource document. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp [Google Scholar]
  24. Kusurkar, R. A., Ten Cate, T. J., Vos, C. M., Westers, P., & Croiset, G. (2013). How motivation affects academic performance: A structural equation modelling analysis. Advances in Health Sciences Education, 18, 57-69. [Google Scholar]
  25. Lai, E. (2011). Motivation: A literature review. USA: Pearson Research Report. [Google Scholar]
  26. Lepper, M. R., Corpus J. H., & Iyengar, S. S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: Age differences and academic correlates. Journal of Educational Psychology, 97(2), 184-196. [Google Scholar]
  27. Litalien, D., Morin, A. J. S., Gagne, M., Vallerand, R. J., Losier, G. F., & Ryan, R. M. (2017). Evidence of a continuum structure of academic self-determination: A two-study test using a bifactor-ESEM representation of academic motivation. Contemporary Educational Psychology, 51, 67-82. [Google Scholar]
  28. Liu, W. C., Wang, J. C. K. & Ryan, R. M. (2016). Building Autonomous Learners: Perspectives from Research and Practice using Self-Determination Theory. Singapore: Springer. [Google Scholar]
  29. Periard, D. (2016). A bifactor model of burnout? An item response theory analysis of the Maslach burnout inventory (Doctoral dissertation). Resource document. https://corescholar.libraries.wright.edu/ [Google Scholar]
  30. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-30. [Google Scholar]
  31. Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667-696. [Google Scholar]
  32. Ryan, R. M., & Connell, J. M. (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]
  33. Ryan, R. M., & Deci, E. L. (2000a). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54-67. [Google Scholar]
  34. Ryan, R. M., & Deci, E. L. (2000b). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. [Google Scholar]
  35. Ryan, R. M., Patrick, H., Deci, E. L., & Williams, C. (2008). Facilitating health behaviour change and its maintenance: Interventions based on Self Determination Theory. The European Health Psychologist, 10, 2-5. [Google Scholar]
  36. Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motiv Emot, 30, 347-363. [Google Scholar]
  37. Tabachnick, B. G., & Fidel, L. S. (2001). Using multivariate statistics. MA: Allyn & Bacon, Inc. [Google Scholar]
  38. Vallerand, R. J., Pelletier, L. G., Blais, M. R, Brière, N. M., Senécal, C., & Vallières, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic and amotivation in education. Educational and Psychological Measurement, 52, 1003-1017. [Google Scholar]
  39. Vallerand, R. J., Pelletier, L. G., Blais, M. R, Brière, N. M., Senécal, C., & Vallières, E. F. (1993). 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, 159-172. [Google Scholar]
  40. 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. [Google Scholar]
  41. Viau, R. (2009). Okulda motivasyon: Okulda güdülenme ve güdülenmeyi öğrenme. (Y, Budak, Çev.). Ankara: Anı Yayıncılık. [Google Scholar]