Olusegun Adelodun. Covariance Structure Modeling of Academic Performance on Mathematics Students in South-Western Nigerian Polytechnics.
. 2016; 4(4):108-112. doi: 10.12691/AJAMS-4-4-2
covariance structure modeling, academic performance, mathematics, students, LISREL
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
[1] | Akerele, O. A., Factors Militating Against Students’ Performance in Mathematics in Secondary Schools. A Paper Presented in a 3-day Seminar for Mathematics Teachers in Oyo State Public Secondary Schools, Ibadan. April 18 – 20, 2011. |
|
[2] | Fadare, A.O., Improving the Teaching and Learning of Mathematics through Improvisation of Instructional Resources in a Period of Economic Downturn in Nigeria. In Oyo State Journal of Mathematical Association of Nigeria (OSJMAN), August, 2012, 3 (2), 67-77. |
|
[3] | Ajayi, O.K. and Muraina, K..O., Parents’ education, occupation and real mothers’ age as predictors of students’ achievement in mathematics in some selected schools in Ogun state, Nigeria. Academic Online Journal, 9(2), 2011. |
|
[4] | Eniayeju, A.A., Effects of cooperative learning strategy on the achievement of primary six boys and girls in mathematics. ABACUS: The Journal of Mathematics Association of Nigeria 35 (1), pp 1-9, 2010. |
|
[5] | Owolabi, J. and Etuk-iren, O.A., Gender, course of study and continuous and continuous assessment as determinants of students’ performance in PRE-NCE mathematics, ABACUS: the Journal of Mathematics Association of Nigeria, 34(1), 106-111, 2009. |
|
[6] | Rech, F.J and Stevens D.J., Variables related to mathematics achievement among black students. The Journal of Educational Research 89(6), pp 346-350, 1996. |
|
[7] | Larwin, K.H., Reading is fundamental in predicting math achievement in 10th Graders. International Electronic Journal of Mathematics Education – IEJME 5(3), 2010. |
|
[8] | Adelodun, O.A. and Awe, O.O. , Structural equation modelling: A novel technique in educational research. International Journal of Innovative Education Research. Vol.2(3), pp 7-18, 2014. |
|
[9] | Jarvis, C. B., MacKenzie, S. B., and Podsakoff, P. M. , A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of onsumer Research, 30, 199-218, 2003. |
|
[10] | Williams, L., Edwards, J., and Vandenberg, R., Recent advances in causal modeling methods for organizational and management research. Journal of Management, 29, 903-936, 2003 |
|
[11] | Cudeck, R., and du Toit, S. H. C., General structural equation models. In R. E. Millsap & A.Maydeu-Olivares (Eds.), The Sage handbook of quantitative methods in psychology (pp. 515-539). 2009, London, UK: SAGE. |
|
[12] | Adelodun,O.A., Application of Structural Equation Modeling to Latent Constructs for Evaluating Educational Performance of Adult Students Unpublished Ph.D. (Mathematics) Thesis, 2008, Obafemi Awolowo University, Ile- Ife. Nigeria. |
|
[13] | Kieffer, M. J., Converging trajectories: Reading growth in language minority learners and their classmates, kindergarten to grade 8. American Educational Research Journal, 48, 1187-1225, 2011. |
|
[14] | Teo, T., and Khine, M. S. (Eds.)., Structural equation modeling in educational research: Concepts and applications. Rotterdam, the Netherlands: 2009, Sense Publishers. |
|
[15] | Wang, M.-T., and Holcombe, R. , Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47, 633-662, 2010. |
|
[16] | Silverman. S. K., What is diversity?: An inquiry into preservice teacher beliefs. American Educational Research Journal, 47, 292-329, 2010. |
|
[17] | In’nami, Y., and Koizumi, R., Factor structure of the revised TOEIC® test: A multiple-sample analysis. Language Testing, 29, 131-152, 2012 |
|
[18] | Shin, S.-K., Did they take the same test? Examinee language proficiency and the structure of language tests. Language Testing, 22, 31-57, 2005. |
|
[19] | Ockey, G., Self-consciousness and assertiveness as explanatory variables of L2 oral ability: A latent variable approach. Language Learning, 61, 968-989, 2011. |
|
[20] | Tong, F., Lara-Alecio, R., Irby, B., Mathes, P., and Kwok, O.M., Accelerating early academic oral English development in transitional bilingual and structured English immersion programs. American Educational Research Journal, 45, 1011-1044, 2008. |
|
[21] | Yeo, S., Fearrington, J., and Christ, T. J., An investigation of gender, income, and special education status bias on curriculum-based measurement slope in reading. School Psychology Quarterly, 26, 119-130, 2011. |
|
[22] | Tabachnick, B. G., and Fidell, L. S.,.Using multivariate statistics (5th ed.). Needham Heights, MA: 2007, Allyn & Bacon. |
|
[23] | Ding, L., Velicer, W. F., and Harlow, L. L., Effects of estimation methods, number indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling, 2, 119-144, 1995. |
|
[24] | Jöreskog, K. G., and Sörbom, D., LISREL (Version 8.80) [Computer software]. Chicago:Scientific Software. 2007. |
|
[25] | Arbuckle, J. L., Amos (Version 7.0) [Computer Program]. Chicago: SPSS. 2006. |
|
[26] | SAS Institute, SAS PROC CALIS [Computer software]. Cary, NC: Author. 1990-2012. |
|
[27] | Bentler, P. M., EQS (Version 6) [Computer software]. Encino, CA: Multivariate Software, 2003. |
|
[28] | Muthén, L. K., and Muthén, B. O., Mplus user’s guide. Sixth Edition [Computer Program]. Los Angeles, CA: Muthén and Muthén., 1998-2010. |
|
[29] | Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson R. E., and Tatham, R. L., Multivariate Data Analysis (6th ed.), Upper Saddle River, NJ: 2006, Prentice Education, Inc. |
|
[30] | Schumacker, R. E., and Lomax, R. G., A beginner’s guide to structural equation modeling. New Jersey: 2004, Lawrence Erlbaum Associates. |
|
[31] | Hu, L. T., and Bentler, P., Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling. Concepts, issues, and applications. London: 1995 Sage. |
|