A Descriptive-Correlational Study of Mathematics Anxiety and Academic Attainment among Junior High School Students of Balagunan National High School

Mathematics anxiety has long been associated with students’ academic performance, yet its role remains complex and context-dependent. This study examined the level of mathematics anxiety, the level of academic attainment, and the relationship between these variables among junior high school students in a public secondary school. Using a descriptive–correlational design, data were collected from 228 students through an adapted Mathematics Anxiety Rating Scale (MARS) and a researcher-developed academic attainment questionnaire. Descriptive statistics and Pearson’s correlation coefficient were employed for data analysis. Results indicated a moderate level of mathematics anxiety (M = 3.12) and a high level of academic attainment (M = 3.92). Contrary to prevailing literature, findings revealed a statistically significant positive relationship between mathematics anxiety and academic attainment (r = 0.20–0.30, p < .05). However, the strength of the relationships was weak to moderate, suggesting limited practical significance. These findings are interpreted in light of the Yerkes–Dodson Law, which posits that moderate levels of anxiety may facilitate performance. Nevertheless, the results should be interpreted with caution due to the reliance on self-reported measures and a single-school sample, which may have introduced response bias and limited generalizability. The study highlights the need to distinguish between facilitative and debilitative anxiety and recommends the use of objective academic records in future research.

mathematics anxiety, academic attainment

1. Almeida, L. S., Silva, C., & Soares, A. P. (2020). The role of student engagement and attendance in academic success. Frontiers in Psychology, 11, 01234. https://doi.org/10.3389/fpsyg.2020.01234 [Google Scholar] [Crossref]

2. American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association. [Google Scholar] [Crossref]

3. Ansari, A., Hofkens, T. L., & Pianta, R. C. (2020). Absenteeism in the early years and its impact on academic achievement. Developmental Psychology, 56(5), 944–957. https://doi.org/10.1037/dev0000864 [Google Scholar] [Crossref]

4. Auguis, M. R. T., et al. (2024). Students’ anxiety level towards mathematics: Basis for intervention program. International Journal of Science and Research Archive, 11(2), 1007–1017. https://doi.org/10.30574/ijsra.2024.11.2.0510 [Google Scholar] [Crossref]

5. Barroso, C., Ganley, C. M., McGraw, A. L., Geer, E. A., Hart, S. A., & Daucourt, M. C. (2020). A meta-analysis of the relation between math anxiety and math achievement. Psychological Bulletin, 147(2), 134–168. https://doi.org/10.1037/bul0000307 [Google Scholar] [Crossref]

6. Bicer, A., Perihan, C., & Lee, Y. (2020). A meta-analysis: The effects of cognitive behavioral therapy on students’ mathematics anxiety. International Electronic Journal of Mathematics Education, 15(2), em0576. https://doi.org/10.29333/iejme/7598 [Google Scholar] [Crossref]

7. Carey, E., Hill, F., Devine, A., & Szűcs, D. (2022). The chicken or the egg? The direction of the relationship between mathematics anxiety and mathematics performance. Frontiers in Psychology, 13, 841105. https://doi.org/10.3389/fpsyg.2022.841105 [Google Scholar] [Crossref]

8. Caviola, S., Carey, E., Mammarella, I. C., & Szűcs, D. (2022). Stress, time pressure, strategy selection, and math anxiety in mathematics: A review. Frontiers in Psychology, 13, 839607. https://doi.org/10.3389/fpsyg.2022.839607 [Google Scholar] [Crossref]

9. Chiu, M. M., & Chow, B. W. Y. (2020). Students’ self-concept and academic achievement: A cross-national study. Educational Psychology, 40(3), 1–17. https://doi.org/10.1080/01443410.2019.1674789 [Google Scholar] [Crossref]

10. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. [Google Scholar] [Crossref]

11. Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications. [Google Scholar] [Crossref]

12. Cullano, J. (2024). Factors influencing mathematics anxiety and mathematics performance: A scoping review. International Journal of Research and Innovation in Social Science. https://ideas.repec.org/a/bcp/journl/v8y2024i3sp4544-4573.html [Google Scholar] [Crossref]

13. Department of Education. (2022). K to 12 basic education program: Policy guidelines and implementation. https://www.deped.gov.ph [Google Scholar] [Crossref]

14. Dowker, A., Sarkar, A., & Looi, C. Y. (2020). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 11, 00019. https://doi.org/10.3389/fpsyg.2020.00019\ [Google Scholar] [Crossref]

15. Eysenck, M. W., & Calvo, M. G. (1992). Anxiety and performance: The processing efficiency theory. Cognition and Emotion, 6(6), 409–434. https://doi.org/10.1080/02699939208409696 [Google Scholar] [Crossref]

16. Foley-Nicpon, M., Assouline, S. G., & Colangelo, N. (2023). Math anxiety and its effects on academic performance and cognitive functioning. Journal of Educational Psychology. https://doi.org/10.1037/edu0000765 [Google Scholar] [Crossref]

17. Fredricks, J. A., Wang, M. T., & Schall Linn, J. (2021). Student engagement and academic achievement: A longitudinal analysis. Journal of Educational Psychology, 113(6), 1080–1095. https://doi.org/10.1037/edu0000487 [Google Scholar] [Crossref]

18. Gottfried, M. A. (2020). Chronic absenteeism and its effects on students’ academic outcomes. American Educational Research Journal, 57(5), 1–25. https://doi.org/10.3102/0002831220919720 [Google Scholar] [Crossref]

19. Gurang, J. A., & Guhao, E. S. Jr. (2024). Study math anxiety, attitudes toward ICT and study habits among senior high school students: A path model analysis on student academic motivation in mathematics. International Journal of Research Publication and Reviews, 5(7), 1103–1118. https://doi.org/10.55248/gengpi.5.0724.1722 [Google Scholar] [Crossref]

20. Hasanah, U., & Supena, A. (2021). The influence of emotional intelligence on students’ academic achievement. Journal of Educational Research and Evaluation, 5(2), 123–130. [Google Scholar] [Crossref]

21. Kearney, C. A., & Graczyk, P. (2021). A response to intervention model to promote school attendance and decrease absenteeism. Child & Youth Care Forum, 50, 1–15. https://doi.org/10.1007/s10566-020-09577-1 [Google Scholar] [Crossref]

22. Lee, J., & Stankov, L. (2021). Non-cognitive predictors of academic achievement: Evidence from mathematics anxiety and self-efficacy research. Educational Psychology Review. https://doi.org/10.1007/s11409-020-09236-5 [Google Scholar] [Crossref]

23. Li, Q., Cho, H., Cosso, J., & Maeda, Y. (2021). Relations between students’ mathematics anxiety and motivation to learn mathematics: A meta-analysis. Educational Psychology Review, 33, 101–127. https://doi.org/10.1007/s10648-020-09589-z [Google Scholar] [Crossref]

24. Liu, Y., Zhang, D., & Wang, Y. (2023). Self-regulation, resilience, and academic achievement: A meta-analytic review. Educational Psychology Review, 35, 1–28. https://doi.org/10.1007/s10648-022-09689-4 [Google Scholar] [Crossref]

25. Mammarella, I. C., Caviola, S., & Carey, E. (2021). The relationship between math anxiety and working memory: A meta-analysis. Educational Psychology Review. https://doi.org/10.1007/s10648-021-09618-5 [Google Scholar] [Crossref]

26. Mega, C., Ronconi, L., & De Beni, R. (2020). What makes a good student? Emotional intelligence, self-regulation, and motivation in academic achievement. Learning and Individual Differences, 78, 101842. https://doi.org/10.1016/j.lindif.2020.101842 [Google Scholar] [Crossref]

27. Merrell, K. W., et al. (2020). Behavioral engagement and academic outcomes among students. School Psychology Review, 49(3), 1–15. https://doi.org/10.1080/2372966X.2020.1717372 [Google Scholar] [Crossref]

28. Mullis, I. V. S., Martin, M. O., Foy, P., Kelly, D. L., & Fishbein, B. (2020). TIMSS 2019 international results in mathematics and science. Boston College. https://timssandpirls.bc.edu/timss2019 [Google Scholar] [Crossref]

29. Mutlu, Y., Demir, Ö., & Yıldız, A. (2021). The relationship between mathematics anxiety and self-efficacy: The role of classroom environment. ZDM Mathematics Education, 53, 1123–1136. https://doi.org/10.1007/s11858-020-01175-5 [Google Scholar] [Crossref]

30. Namkung, J. M., Peng, P., & Lin, X. (2022). The relation between mathematics anxiety and mathematics performance: A meta-analytic investigation. Educational Psychology Review, 34, 1–28. https://doi.org/10.1007/s10648-021-09618-5 [Google Scholar] [Crossref]

31. National Center for Education Statistics. (2024). Mathematics performance and student engagement report. https://nces.ed.gov [Google Scholar] [Crossref]

32. National Numeracy. (2023). Math anxiety in the UK: Impact on education and employment. https://www.nationalnumeracy.org.uk [Google Scholar] [Crossref]

33. National Privacy Commission. (2020). Data privacy guidelines and compliance framework. https://privacy.gov.ph [Google Scholar] [Crossref]

34. Nolasco, D. (2025). Unearthing mathematics anxiety: A qualitative exploration of student experiences. Journal of Technology and Science Education. https://www.jotse.org/index.php/jotse/article/view/2950 [Google Scholar] [Crossref]

35. Núñez-Peña, M. I., & Suárez-Pellicioni, M. (2020). Neurocognitive mechanisms underlying math anxiety. Frontiers in Psychology, 11, 00019. https://doi.org/10.3389/fpsyg.2020.00019 [Google Scholar] [Crossref]

36. OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en [Google Scholar] [Crossref]

37. Pintrich, P. R. (2020). The role of self-regulated learning in academic success. Educational Psychologist. [Google Scholar] [Crossref]

38. Putwain, D., & Daly, A. L. (2014). Test anxiety prevalence and gender differences in a sample of English secondary school students. Educational Studies, 40(5), 554–570. https://doi.org/10.1080/03055698.2014.953914 [Google Scholar] [Crossref]

39. Republic of the Philippines. (2012). Republic Act No. 10173: Data Privacy Act of 2012. https://www.officialgazette.gov.ph/2012/08/15/republic-act-no-10173/ [Google Scholar] [Crossref]

40. Resnik, D. B. (2020). What is ethics in research and why is it important? National Institute of Environmental Health Sciences. https://www.niehs.nih.gov/research/resources/bioethics/whatis/index.cfm [Google Scholar] [Crossref]

41. Skinner, E. A., Pitzer, J. R., & Brule, H. (2020). The role of engagement in learning: A motivational perspective. Journal of Educational Psychology, 112(3), 1–15. https://doi.org/10.1037/edu0000382 [Google Scholar] [Crossref]

42. Suinn, R. M., & Richardson, F. C. (1972). The mathematics anxiety rating scale: Psychometric data. Journal of Counseling Psychology, 19(6), 551–554. https://doi.org/10.1037/h0033456 [Google Scholar] [Crossref]

43. Wang, M. T., & Eccles, J. S. (2020). Student engagement and its impact on academic success. Journal of Educational Psychology, 112(4), 1–15. https://doi.org/10.1037/edu0000398 [Google Scholar] [Crossref]

44. World Health Organization. (2021). Standards and operational guidance for ethics review of health-related research with human participants. https://www.who.int [Google Scholar] [Crossref]

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