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References
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References
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Anaya, L., Stafford, F., & Zamarro, G. (2022). Gender gaps in math performance, perceived mathematical ability and college STEM education: The role of parental occupation. Education Economics, 30(2), 113-128. https://doi.org/10.1080/09645292.2021.1974344
Awang, Z. (2015). SEM made simple: A gentle approach to learning structural equation modelling. Bandar Baru Bangi, MPWS Rich Resources.
Balta, N., Japashov, N., Karimova, A., Agaidarova, S., Abisheva, S., & Potvin, P. (2023, May). Middle and high school girls' attitude to science, technology, engineering, and mathematics career interest across grade levels and school types. Frontiers in Education, 8, 1158041. https://doi.org/10.3389/feduc.2023.1158041
Bandura, A. (1978). Reflections on self-efficacy. Advances in Behaviour Research and Therapy, 1(4), 237-269. https://doi.org/10.1016/0146-6402(78)90012-7
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148. https://doi.org/10.1207/s15326985ep2802_3
Bature, I. J., Atweh, B., & Oreoluwa, F. (2020). Investigating the perception of senior secondary school students on the role of classroom engagement in mathematics problem solving. Journal of Research in Science, Mathematics and Technology Education, 3(2), 73-105. https://doi.org/10.31756/jrsmte.323
Beilock, S. L., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2010). Female teachers' math anxiety affects girls' math achievement. Proceedings of the National Academy of Sciences, 107(5), 1860-1863. https://doi.org/10.1073/pnas.0910967107
Bernardo, A. B. I., Ganotice, F. A., Jr., & King, R. B. (2015). Motivation gap and achievement gap between public and private high schools in the Philippines. The Asia-Pacific Education Researcher, 24(4), 657-667. https://doi.org/10.007/s40299-014-0213-2
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: a primer. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00149
Catsambis, S. (1994). The path to math: Gender and racial-ethnic differences in mathematics participation from middle school to high school. Sociology of Education, 67(3) 199-215. https://doi.org/10.2307/2112791
Chen, X. (2022). The effects of individual-and class-level achievement on attitudes towards mathematics: An analysis of Hong Kong students using TIMSS 2019. Studies in Educational Evaluation, 72, 101113. https://doi.org/10.1016/j.stueduc.2021.101113
Christensen, R., & Knezek, G. (2020). Indicators of middle school students' mathematics enjoyment and confidence. School Science and Mathematics, 120(8), 491-503. https://doi.org/10.1111/ssm.12439
Crombie, G., Sinclair, N., Silverthorn, N., Byrne, B. M., DuBois, D. L., & Trinneer, A. (2005). Predictors of young adolescents' math grades and course enrollment intentions: Gender similarities and differences. Sex Roles, 52(5-6), 351–367. https://doi.org/10.1007/s11199-005-2678-1
Dweck, C. S. (2007). Is math a gift? Beliefs that put females at risk. American Psychological Association. https://doi.org/10.1037/11546-004
Entwisle, D. R., & Alexander, K. L. (1992). Summer setback: Race, poverty, school composition, and mathematics achievement in the first two years of school. American Sociological Review, 57(1), 72-84. https://doi.org/10.2307/2096145
Fredricks, J. A., & Eccles, J. S. (2002). Children's competence and value beliefs from childhood through adolescence: Growth trajectories in two male-sex-typed domains. Developmental Psychology, 38(4), 519–533. https://doi.org/10.1037/0012-1649.38.4.519
Frenzel, A. C., Pekrun, R., Dicke, A. L., & Goetz, T. (2012). Beyond quantitative decline: conceptual shifts in adolescents' development of interest in mathematics. Developmental Psychology, 48(4), 1069. https://doi.org/10.1037/a0026895
Gallucci, M., & Jentschke, S. (2021). SEMLj: jamovi SEM Analysis. [jamovi module].
Gur, T., Balta, N., Dauletkulova, A., Assanbayeva, G., & Fernández-Cézar, R. (2023). Mathematics achievement emotions of high school students in Kazakhstan. Journal on Mathematics Education, 14(3), 525-544. https://doi.org/10.22342/jme.v14i3.pp525-544
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
Hajovsky, D. B., Mason, B. A., & McCune, L. A. (2017). Teacher-student relationship quality and academic achievement in elementary school: A longitudinal examination of gender differences. Journal of School Psychology, 63(4), 119–133. https://doi.org/10.1016/j.jsp.2017.04.001
Hattie, J. (2009). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. Routledge.
Harrington, D. (2008). Confirmatory factor analysis. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195339888.001.0001
Hedges, L. V., & Nowell, A. (1999). Changes in the black-white gap in achievement test scores. Sociology of Education, 72(2), 111-135. https://doi.org/10.2307/2673179
Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33-46. https://doi.org/10.2307/749455
Howley, C. B., Howley, A. A., & Huber, D. S. (2005). Prescriptions for rural mathematics instruction: Analysis of the rhetorical literature. Journal of Research in Rural Education, 20(7), 1-16. https://jrre.psu.edu/sites/default/files/2019-08/20-7.pdf
Hudson, R. A., Houck, E. A., & Estrada, P. (2020). Rural school mathematics education: Perspectives on curriculum and instruction. In Rural education research in the United States: State of the science and emerging directions (pp. 81-97). Springer.
Istenic Starčič, A., Cotic, M., Solomonides, I., & Volk, M. (2016). Engaging preservice primary and preprimary school teachers in digital storytelling for the teaching and learning of mathematics. British Journal of Educational Technology, 47(1), 29-50. https://doi.org/10.1111/bjet.12253
Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children's self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73(2), 509–527. https://doi.org/10.1111/1467-8624.00421
Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2022). semTools: Useful tools for structural equation modeling. R package version 0.5-6. Retrieved from https://CRAN.R-project.org/package=semTools
Karasel, N., Ayda, O., & Tezer, M. (2010). The relationship between mathematics anxiety and mathematical problem solving skills among primary school students. Procedia - Social and Behavioral Sciences, 2(2), 5804-5807. https://doi.org/10.1016/j.sbspro.2010.03.946
Kaya, V. D., & Kükey, E. (2022). Was emergency remote education enough to save the day? Mathematics teachers' difficulties and ways to cope with these difficulties. The European Educational Researcher, 5(2), 201-224. https://doi.org/10.31757/euer.525
Lee, V. E. (2000). Using hierarchical linear modeling to study social contexts: The case of school effects. Educational Psychologist, 35(2), 125-141. https://doi.org/10.1207/S15326985EP3502_6
Lee, V. E., & Burkam, D. T. (2002). Inequality at the starting gate: Social background differences in achievement as children begin school. Economic Policy Institute.
Lee, V. E., Chow-Hoy, T. K., Burkam, D. T., Geverdt, D., & Smerdon, B. A. (1998). Sector differences in high school course taking: A private school or Catholic school effect? Sociology of Education, 71(4), 314-335. https://doi.org/10.2307/2673173
Li, X., Bergin, C., & Olsen, A. A. (2022). Positive teacher-student relationships may lead to better teaching. Learning and Instruction, 80, 101581. https://doi.org/10.1016/j.learninstruc.2022.101581
Lubienski, S. T., & Lubienski, C. (2005). A new look at public and private schools: Student background and mathematics achievement. Phi Delta Kappan, 86(9), 696-699. https://doi.org/10.1177/003172170508600914
Lubienski, S. T., & Lubienski, C. (2006). School sector and academic achievement: A multilevel analysis of NAEP mathematics data. American Educational Research Journal, 43(4), 651-698. https://doi.org/10.3102/00028312043004651
Ma, X., & Kishor, N. (1997). Assessing the relationship between attitude toward mathematics and achievement in mathematics: A meta-analysis. Journal for Research in Mathematics Education, 28(1), 26-47. https://doi.org/10.2307/749662
Matabane, M., & Machaba, M. (2024). Cultural transitions in mathematical discourse: Unveiling mathematical writing hurdles during the rite of passage. Journal of Culture and Values in Education, 7(2), 36-53. https://doi.org/10.46303/jcve.2024.11
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