References
- Bishop, J., Geiser, C., & Cole, D. A. (2015). Modeling latent growth with multiple indicators: A comparison of three approaches. Psychological Methods, 20(1), 43-62. https://doi.org/10.1037/met0000018
- Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. John Wiley & Sons.
- Chan, D. K. C., Yang, S. X., Hamamura, T., Sultan, S., Xing, S., Chatzisarantis, N. L., & Hagger, M. S. (2015). In-lecture learning motivation predicts students' motivation, intention, and behaviour for after-lecture learning: Examining the trans-contextual model across universities from UK, China, and Pakistan. Motivation and Emotion, 39(6), 908-925. https://doi.org/10.1007/s11031-015-9506-x
- Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factory analysis. Psychological Methods, 1(1), 16-29. https://doi.org/10.1037/1082-989X.1.1.16
- Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality,19(2), 109-134. https://doi.org/10.1016/0092-6566(85)90023-6
- 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), 227-229. https://doi.org/10.1207/S15327965PLI1104_01
- Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology / Psychologie Canadienne, 49(3), 182-185. https://doi.org/10.1037/a0012801
- Diseth, A ., Mathisen, F. K. S., & Samdal, O. (2020). A comparison of intrinsic and extrinsic motivation among lower and upper secondary school students. Educational Psychology, 40(8), 961-980. https://doi.org/10.1080/01443410.2020.1778640
- Duke, N. K., Halvorsen, A. L., Strachan, S. L., Kim, J., & Konstantopoulos, S. (2021). Putting PjBL to the test: The impact of project-based learning on second graders' social studies and literacy learning and motivation in low-SES school settings. American Educational Research Journal, 58(1), 160-200. https://doi.org/10.3102/0002831220929638
- Duncan, T. E., & Duncan, S. C. (2004). An introduction to latent growth curve modeling. Behavior Therapy, 35(2), 333-363. https://doi.org/10.1016/S0005-7894(04)80042-X
- Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2013). An introduction to latent variable growth curve modeling: Concepts, issues, and applications. Routledge.
- Filgona, J., Sakiyo, J., Gwany, D. M., & Okoronka, A. U. (2020). Motivation in learning. Asian Journal of Education and Social Studies, 10(4), 16-37. https://doi.org/10.9734/ajess/2020/v10i430273
- Geary, D. C. (2011). Cognitive predictors of achievement growth in mathematics: A 5-year longitudinal study. Developmental Psychology, 47(6), 1539-1552. https://doi.org/10.1037/a0025510
- Guay, F. (2022). Applying self-determination theory to education: Regulations types, psychological needs, and autonomy supporting behaviors. Canadian Journal of School Psychology, 37(1), 75-92. https://doi.org/10.1177/08295735211055355
- Kang, H. S., Kim, H. D., Lee, H. Y., & Kim, B. J. (2016). Development of items in the 5th year of the Gyeonggi education longitudinal study. Gyeonggi Education Research Institute
- Kim, A. Y., & Oh, S. A. (2001). Classification of Motivation on the Continuum of Self-Determination. Journal of Education Psychology, 15(4), 97-119.
- Kim, S. H., Kang, D. H., Moon, S. M., Yoon, W. S., & Park, S. H. (2016). Research on the achievement score for the academic achievement test for the 7th year Seoul National University of Education. Seoul Institute for Education Policy.
- Kim, Y. S. (2020). A longitudinal study on the effect of learner's internal and external factors on mathematics academic achievement: For middle and high school students. Doctoral thesis, Sungkyunkwan University.
- Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
- Lee, M. B. (2003). The effect of self-determination motivation and self-regulated learning on academic achievement. Master's thesis, Yonsei University.
- Leech, N. L., Barrett, K. C., & Morgan, G. A. (2014). IBM SPSS for intermediate statistics: Use and interpretation. Routledge.
- Little, T. D. (2013). Longitudinal structural equation modeling. Guilford Press.
- Mok, M. M., McInerney, D. M., Zhu, J., & Or, A. (2015). Growth trajectories of mathematics achievement: Longitudinal tracking of student academic progress. British Journal of Educational Psychology, 85(2), 154-171. https://doi.org/10.1111/bjep.12060
- Newsom, J. T. (2015). Longitudinal structural equation modeling: A comprehensive introduction. Routledge.
- Perez Mejias, P., McAllister, D. E., Diaz, K. G., & Ravest, J. (2021). A longitudinal study of the gender gap in mathematics achievement: evidence from Chile. Educational Studies in Mathematics, 107(3), 583-605. https://doi.org/10.1007/s10649-021-10052-1
- Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications. Prentice Hall.
- Prislin, R. (2022). Minority influence: An agenda for study of social change. Frontiers in Psychology, 13, 911654. https://doi.org/10.3389/fpsyg.2022.911654
- 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
- Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications.
- Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
- Shin, J., Lee, H., & Kim, Y. (2009). Student and school factors affecting mathematics achievement: International comparisons between Korea, Japan and the USA. School Psychology International, 30(5), 520-537. https://doi.org/10.1177/0143034309107070
- Sung, K. S., Kim, J. Y., Park, S. Y., & Min, B. C. (2012). Gyeonggi education longitudinal research rese math academic achievement, learning motivation, self-determination theory, growth mixture modelling, latent growth model arch design and item development research. Korea Education Research Network.
- Tremblay-Wragg, E., Raby, C., Menard, L., & Plante, I. (2021). The use of diversified teaching strategies by four university teachers: What contribution to their students' learning motivation? Teaching in Higher Education, 26(1), 97-114. https://doi.org/10.1080/13562517.2019.1636221
- Wang, M.-C., Deng, Q., Bi, X., Ye, H., & Yang, W. (2017). Performance of the entropy as an index of classification accuracy in latent profile analysis: A Monte Carlo simulation study. Acta Psychologica Sinica, 49(11), 1473-1482. https://doi.org/10.3724/SP.J.1041.2017.01473
- Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons.
- Zaccone, M. C., & Pedrini, M. (2019). The effects of intrinsic and extrinsic motivation on students learning effectiveness. Exploring the moderating role of gender. International Journal of Educational Management, 33(6), 1381-1394. https://doi.org/10.1108/IJEM-03-2019-0099
- Zheng, Y., Ye, X., & Hsiao, J. H. (2022). Does adding video and subtitles to an audio lesson facilitate its comprehension? Learning and Instruction, 77, 101542. https://doi.org/10.1016/j.learninstruc.2021.101542