Psychosocial Predictors of Students' Achievement in Mathematics: A Path-Analytical Study
Abstract
Almost everything a person does involves mathematics, especially in this day and age of science and technology. Therefore, it is essential to ensure success among students regarding achievement in mathematics learning. This study explored how psychosocial variables (self-efficacy, motivation, locus of control, anxiety, and peer influence) contribute to student achievement in Mathematics. Two hundred and forty secondary school students participated in this study. The study employed the correlational design, and data was collected using reliable instruments: (mathematics anxiety scale ? = 0.82; academic self-efficacy scale ? = 0.79; academic motivation scale ? = 0.81; locus of control scale ? =0.84; peer influence inventory ?=.76; and achievement test in mathematics ? =0.88). The model displayed a goodness-of-fit index of 1.000 and a comparative fit index of 1.000, both of which are regarded as perfect fits, according to path analysis. In this model, every path has high significance (p < .01) except for the path coming from motivation to self-efficacy and locus of control (p = .053 and .493), respectively. The study recommended that efforts be made to increase mathematics achievement, emphasising how the many elements considered interact with one another.
Keywords
Full Text:
PDFReferences
Adelana, O. P., Ayanwale, M. A., Ishola, A. M., Oladejo, A. I., & Adewuyi, H. O. (2023). Exploring pre-service teachers’ intention to use virtual reality: A mixed method approach. Computers & Education: X Reality, 3, 100045.
Adewuyi, H. O., & Dwarika, V. (2023). Psycho-personological correlates of academic help-seeking among in-school adolescents. Studies in Learning and Teaching, 4(1), 195–204.
Adewuyi H. O., and Oluwole, D. A. (2016). Low teacher efficacy, poor parental involvement, truancy and gender as indices of students' mathematics underachievement in Osun State, Nigeria. Nigerian Journal of Applied Psychology, 15.
Adewuyi, H. O. (2021). Mode deactivation, coherence therapies and self-acceptance among in-school adolescents with negative body image in Osun State, Nigeria (Doctoral dissertation). http://repository.pgcollegeui.com:8080/xmlui/handle/123456789/1212
Adeyemo, D. A. (2011). The moderating influence of emotional intelligence on the link between academic self-efficacy and achievement of university students. Psychology Developing Societies, 19(2), 199-213.
Ashcraft, J. J. (2015). Self-compassion training modulates alpha-amylase, heart rate variability, and subjective responses to social evaluative threat in women. Psychoneuroendocrinology, 42, 49–58. http://doi.org/10.1016/j.psyneuen
Atetwe, A. T., Aloka, J. P, & Gudo, C. O. (2018). Influence of internal locus of control on mathematics achievement among students in secondary schools in Kenya. International Journal of Education and Research, 6(8), 153–162.
Ayanwale, M. A., Adewuyi, H. O., & Afolabi, O. W. (2023). Learning through radio and television during COVID-19: Perspectives of K-12 stakeholders. EUREKA: Social and Humanities, (2), 61–72.
Bergey, B. W., Parrila, R. K., Laroche, A., & Deacon, S. H. (2019). Effects of peer-led training on academic self-efficacy, study strategies, and academic performance for first-year university students with and without reading difficulties. Contemporary Educational Psychology, 56, 25-39.
Bieg M., Goetz T., Wolter I., Hall N. C. (2015). Gender stereotype endorsement differentially predicts girls' and boys' trait-state discrepancy in math anxiety. Front. Psychol. 6, 1404. http://doi.org/10.3389/fpsyg.2015.01404
Bolaji, F. K., (2015). A study of factors influencing students' attitude towards mathematics in the junior secondary school; Mathematics teaching in Nigeria. http://www.ncsu.edu/ncsu/earn/bolajim.html
Buckley S., Reid K., Goos M., Lipp O., Thomson S. (2016). Understanding and addressing mathematics anxiety using perspectives from education, psychology, and neuroscience. Austr. J. Educ. 60, 157–170. http://doi.org/10.1177/0004944116653000
Cerezo R., Fernández E., Amieiro N., Valle A., Rosário P., Núñez J. C. (2019). The mediating role of self-efficacy and perceived usefulness between strategy knowledge and its use. Rev. Psicodidact. 24, 1–8. http://doi.org/10.1016/j.psicoe.2018.09.001
Chang H., & Beilock S. L. (2016). The math anxiety-math performance link and its relation to individual and environmental factors: a review of current behavioral and psychophysiological research. Curr. Opin. Behav. Sci. 10, 33–38. http://doi.org/10.1016/j.cobeha.2016.04.011
Chetri, S. (2014). Achievement motivation of adolescents and its relationship with academic achievement. International Journal of Humanities and Social Science Invention, 3(6), 8–15.
Choudhury, S. A., & Borooah, I. P. (2017). Locus of control and academic achievement of undergraduate college students of Guwahati City. International Journal of Humanities and Social Science Invention, 6(4), 67–70.
Clotfelter, C. T., Ladd, H. F., Vigdor, J. L. (2006). Teacher–student matching and the assessment of teacher effectiveness." Journal of Human Resources, 41(4), 778–820.
Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons
Cressey, N. (2012). Study habits meta-analysis. Perspectives on Psychological Science.Press, 3 (6): 425-453.
Danesty, A.H. (2013). Psychosocial determinants of academic performance and vocational learning of students with disabilities in Oyo State. (Unpublished PhD Thesis. University of Ibadan). https://journals.out.ac.tz/index.php/jipe/issue/view/31/5
DiPerna, H; Galass, J.P & Galassi, M.D. (2012). Mathematics Anxiety: Relations with situational test anxiety, performance, psychological arousal, and mathematics avoidance behavior. Journal of Counseling Psychology, (31), 550–583.
Dowker A., Sarkar A., Looi C. Y. (2016). Mathematics anxiety: what have we learned in 60 years? Front. Psychol. 7, 508. http://doi.org/10.3389/fpsyg.2016.00508
Fagbule, O. F., Kanmodi, K. K., Samuel, V. O., Isola, T. O., Aliemeke, E. O., Ogbeide, M. E., ... & Ibiyemi, O. (2021). Prevalence and predictors of cigarette smoking and alcohol use among secondary school students in Nigeria. Annals of Ibadan Postgraduate Medicine, 19(2), 112–123.
Gamble Lara J., Taylor, Michael J., and Daniel J. Graham (2019). "Time?of?flight secondary ion mass spectrometry three?dimensional imaging of surface modifications in poly (caprolactone) scaffold pores." Journal of Biomedical Materials Research Part A, 2195-2204.
Gilar-Corbi, R., Miñano, P., Veas, A., and Castejón, J. L. (2019). Testing for invariance in a structural model of academic achievement across underachieving and non-underachieving students. Contemp. Educ. Psychol., 59. http://doi.org/10.1016/j.cedpsych.2019.101780
Gujjar, A., & Aijaz, R. (2014). A study to investigate the relationship between locus of control and academic achievement of students. I-manager's Journal on Educational Psychology, 8(1), 1-9. https://doi.org/10.26634/jpsy.8.1.2763
Hammoudi M. H. (2019). Predictive factors of students' motivation to succeed in introductory mathematics courses: evidence from higher education in the UAE. Intern. J. Math. Educ. Sci. Technol. 50, 647–664. http://doi.org/10.1080/0020739X.2018.1529339
Henschel S., Roick T. (2017). Relationships of mathematics performances, control and value beliefs with cognitive and affective math anxiety. Learn. Individ. Differ. 55, 97–107. http://doi.org/10.1016/j.lindif.2017.03.009
Henschel, S., and Roick, T. (2017). Relationships of mathematics performances, control and value beliefs with cognitive and affective math anxiety. Learn. Individ. Differ. 55, 97–107. http://doi.org/10.1016/j.lindif.2017.03.009
Jain, S., and Dowson, M. (2009). Mathematics anxiety as a function of multidimensional self-regulated and self-efficacy. Contempo. Educ. Psychol. 34, 240–249. http://doi.org/10.1016/j.cedpsych.2009.05.004
Kanmodi, K. K., Fagbule, O. F., Ogbeide, M. E., Ogunniyi, K. E., Isola, T. O., Samuel, V. O., ... & Adewuyi, H. O. (2022). Knowledge of senior secondary school students in Nigeria about head and neck cancer: Implications on prevention strategies. Malawi Medical Journal, 34(3), 162–169.
Kumar, J., &Asha, M. (2017). A study of relationship between academic achievement and locus of control of male and female senior secondary school students. Scholarly Research Journal for Humanity Science and English Language, 4(21), 4979–4986.
Kung, H. Y., & Lee, C. Y. (2016). Multidimensionality of parental involvement and children's mathematics achievement in Taiwan: Mediating effect of math self-efficacy. Learning and Individual Differences, 47, 266–273.
Mahatan, M.L., & Islam, L.J. (2018). School Culture, Motivation, and Achievement. In: M.L. Maehr& C. Ames (Eds.), Advances in motivation and achievement: a research annual, (pp.215–247). JAI Press.
Marlowe, J., DeHart?Davis, L., & Pandey, S.K. (2006). Gender Dimensions of Public Service Motivation. Public Administration Review, 66, 873-887. http://doi.org/10.1111/J.1540-6210.2006.00655.X
Namkung J. M., Peng P., Lin X. (2019). The relation between mathematics anxiety and mathematics performance among school-aged students: a meta-analysis. Rev. Educ. Res., 89, 459–496. http://doi.org/10.3102/0034654319843494
Obiero, J. (2017). The relationship between achievement motivation and mathematic performance amongst female learners and in selected urban girls' secondary schools in Kenya. Global Journal of Social Sciences Studies, 4(1), 23–29. https://doi.org/10.20448/807.4.1.23.29
Ogundokun, M. O. (2011). Learning style, school environment and test anxiety as correlates of learning outcomes among secondary school students. IFE PsychologIA: An International Journal, 19(2), 321–336.
Olanrewaju, M. K., & Omoponle, A. H. (2017). Influence of peer pressure, socio-economic status and social networking on academic performance of students in Oyo state. Africa Education Evaluation, 1(1), 1–10.
O'Malley, H. F. (1976). Effects of state anxiety and task difficulty on computer–assisted learning Journal of Education Psychology, 60, 343–350.
Omoponle, A. H., & Dwarika, V. (2023). Academic stress predictors among first year tertiary students: School environment, self-concept, workload and classroom size. Mc-Caddogap 9(2), 1–10. https://mc-caddogap.com/wp-content/uploads/final-galleyproof-3-mc-9-2.pdf
Omoponle, a. h., & Olanrewaju, M. K. (2019). Crime behavioural tendency of school-going adolescents in Ibadan: Home background, self-regulation and parenting processes as predictors. Dev Sanskriti Interdisciplinary International Journal, 13, 119–128.
Onyemah, T. N., & Omoponle, A. H. (2022). Child abuse and family background as predictors of poor academic performance among adolescents in special schools of Ibadan-Nigeria. Journal of Lexicography and Terminology, 6(1), 106–119.
Opesemowo, O. A. G., & Ndlovu, M. (2023). Status and experience of mathematics teachers’ perception of integrating computer adaptive testing into unified tertiary matriculation examination mathematics. Multicultural Education, 09(02), 66–78.
Opesemowo, O. A. G., Ayanwale, M. A., Opesemowo, T. R., & Afolabi, E. R. I. (2023). Differential bundle functioning of national examinations council mathematics test items: An exploratory structural equation modelling approach. Journal of Measurement and Evaluation in Education and Psychology, 14(1), 1–18. https://doi.org/10.21031/epod.1142713
Osterloh, M. W., Frey, J. A. J. and Homberger, B. A. (2011). Cognitive-behavioral therapy for the treatment of anxiety disorders. Journal of Clinical Psychology. 65(5), 34–40.
Pajares, F. (2008). "Motivational role of self-efficacy beliefs in self-regulated learning," in D. Schunk and B. J. Zimmerman (Eds.), Motivation and self-regulated learning: theory, research and applications. (pp.111–141). Lawrence Erlbaum Associates.
Peixoto, F., Sanches, C., Mata, L., and Monteiro, V. (2017). "How do you feel about math?": relationships between competence and value appraisals, achievement emotions, and academic achievement. Eur. J. Psychol. Educ. 32, 385–405. http://doi.org/10.1007/s10212-016-0299-4
Pérez-Fuentes, M. C., Núñez, A., Molero, M., Gázquez, J. J., Rosário, P., and Núñez, J. C. (2020). The role of anxiety in the relationship between self-efficacy and math achievement. Psicología Educativa. http://doi.org/10.5093/psed2020a7 [Epub ahead of print].
PISA (2018). PISA Report. Asturias Results 2018. PISA. https://www.oecd.org/pisa/publications/pisa-2018-results.htm
Raheem, I. A., & Abdulkadir, A. O. (2018). Predictive value of locus of control on academic performance of senior secondary school students in Sokoto Metropolis, Sokoto, Nigeria. International Journal of Humanities and Social Science Invention (IJHSSI), 7(1), 16-20.
Regueiro, R., Suárez, N., Valle, A., Núñez, J. C., and Rosário, P. (2015). Homework motivation and engagement throughout compulsory education. Rev. Psicodidáct. 20, 47–73. http://doi.org/10.1387/RevPsicodidact.12641
Rosário, P., Lourenço, A., Paiva, O., Rodrigues, A., Valle, A., and Tuero-Herrero, E. (2012). Prediction of mathematics achievement: effect of personal, socioeducational and contextual variables. Psicothema, 24, 289–295.
Rotter, J.B. (1966). Generalized Expectancies for internal versus external control reinforcement; psychological monographs. Vol. 80 (1) (whole no. 609).
Stage K. Frances, Hasani C. Carter & Amaury Nora (2004) Path Analysis: An Introduction and Analysis of aDecade of Research, The Journal of Educational Research, 98:1, 5-13. http://doi.org/10.3200/JOER.98.1.5-13
Stevens T., Olivarez A., Lan W. Y., Tallent-Runnels M. K. (2014). Role of self-efficacy and motivation in mathematics performance across ethnicity. J. Educ. Res., 97, 208–221. http://doi.org/10.3200/JOER.97.4.208-222
Suarez-Alvarez, J., Fernandez-Alonso, R., and Muñiz, J. (2014). Self-concept, motivation, expectations, and socioeconomic level as. Learn. Individ. Differ, 30, 118–123. http://doi.org/10.1016/j.lindif.2013.10.019
Suárez-Pellicioni, M., Núñez-Peña, M. I., & Colomé, A. (2015). Math anxiety: a review of its cognitive consequences, psychophysiological correlates, and brain bases. Cogn. Affect. Behav. Neurosci., 16, 3–22. http://doi.org/10.3758/s13415-015-0370-7
Uedufy (2023). How To Calculate Cronbach’s Alpha in Excel. https://uedufy.com/how-to-calculate-cronbachs-alpha-in-excel/.
Uzezi, J. G., & Deya, G. D. (2017). Relationship between peer group influence and students' academic achievement in Chemistry at secondary school level. American Journal of Educational Research, 5(4), 350–356. https://doi.org/10.12691/education-5-4-2
Valentine, Dubois, and Cooper H. (2016). The relations between self-beliefs and academic achievement: a systematic review. Educational Psychologist, 39(2), 111–133.
Wang, C. J., Liu, W. C., Kee, Y. H., & Chian, L. K. (2019). Competence, autonomy, and relatedness in the classroom: understanding students' motivational processes using self–determination theory. Heliyon, 5(7), e01983. https://doi.org/10.1016/j.heliyon.2019. e01983
Wigfield, A., Eccles, J. S., Fredricks, J. A., Simpkins, S., Roeser, R. W., and Schiefele, U. (2015). "Development of achievement motivation and engagement," in M. E. Lamb and R. M. Lerner (Eds.) Handbook of child psychology and developmental science: Socioemotional processes. (pp.657–700). John Wiley & Sons.
Zimmerman, B. J. (2010). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25, 85–91.
Refbacks
- There are currently no refbacks.
e-ISSN: 1694-2116
p-ISSN: 1694-2493