Author

  • Letsoalo ME

    • Directorate of Research and Innovation, Tshwane University of Technology, Pretoria, South Africa
    • South Africa

Abstract

This paper presents the researchers’ interpretive analysis of data from the main study that was aimed at proposing the method that will plausibly be used to analyse the Grade 12 results and to compare performances of learners between provinces of South Africa. This cross-sectional, quantitative, and ex-postfacto designed study used secondary and clustered data, as supplied by Department of Basic Education through Umalusi council, to compare the likelihood of passing Grade 12 between male and female learners in the Gauteng Province, even after adjusting for school quintile. Thus, this work attempted to model the relation between school resources inputs and school outcomes called educational achievements or academic performances. The dataset contained a total of 98894 (45.44% male and 54.56% female) learners who set for Grade 12 examinations in 2008 academic. The crude estimates indicated that female learners than male learners were significantly 1.035 more likely to pass Grade 12 (OR = 1.035, p = 0.016, 95% CI: 1.006 - 1.065). Also, the school quintile adjusted model indicated that female learners than their male counterparts were significantly 1.040 more likely to pass Grade 12 (OR = 1.040, p = 0.010, 95% CI: 1.009 - 1.072). The significant effect of school quintile favoured female learners (p < 0.001). These results, from disaggregated analysis, indicated that there was sufficient evidence that female than male learners had better chances of passing Grade 12 in Gauteng Province. Therefore, authorities may consider the issue of learner-gender when allocating resources to different school In Gauteng Province.

Keywords

References

  • Adeyemi, T. (2008). Predicting students' performance in senior secondary certificate examinations from performance in junior secondary certificate examinations in Ondo State, Nigeria. Middle-East Jpurnal of Scientific Research, 3(2), 144 - 161.
  • Armstrong, D., Henson, K. T.& Tom, V. S. (1981). Education: An Introduction. Macmillan Publishing, Inc.
  • Asante, O. A. (2010). Sex differences in mathematics performance among senior high students in Ghana. Gender & Behaviour , 3279 - 3289.
  • Bray, M.& Thomas, R. M. (1995). Levels of comparison in educational studies: Different insights from different literatures and the value of multilevel analyses. Harvard Educational Review, 65(3), 472 - 491.
  • Cohen, L., Manion, L.& Morison, K. (2000). Research methods in education. London: Routledge Falmer.
  • Considine, G.& Zappala, G. (2002). Factors influencing the educational performance of students from disadvantaged backgrounds. In T. Eardley, & B. Bradbury, Competing visions: Refereed proceedings of the National Social Policy Conference 2001 (pp. 91 - 107). Sydney: Social Policy Research Cetre, University of New South Wales.
  • Creswell, J. (2003). Research design:Qualitative, quantitative and mixed methods approaches (2nd ed.). Thousand Oaks: SAGE.
  • Dee, T. S. (2005). Teachers and gender gaps in student achievement: Working paper #11660. Retrieved August 29, 2017, from http://www.nber.org/papers/w11660
  • Dee, T. S. (2007). Teacher and the gender gap in student achievement. Journal of Human Resources, 42 (3), 528 - 554.
  • Faize, F. A.& Dahar, M. A. (2011). Effect of mother’s level of education on secondary grade science students in Pakistan. Research Journal of Internatıonal Studıes, (9), 13 9 19.
  • Fan, X.& Chen, M. (2001). Parental involvement and students' academic achievement: A meta-analysis. Educational Psychology Review, 13(1), 1 - 22.
  • Francis, A. A. (2007). Student and teacher related variables as determinants of secondary school students academic achievement in chemistry. Journal of Pendidikan, 32, 3 - 18.
  • Ghazvini, S. D.& Khajehpour, M. (2011). Gender differences in factors affecting academic performance of high school students. Procedia Social and Behavioral Sciences, 15, 1040 - 1045.
  • Guiso, L., Monte, F., Sapienza, P.& Zingales, L. (2008). Culture, gender and math. Science, 320(5880), 1164 - 1165.
  • Hakkinen, I., Kirjavainen, T.& Uusitalo, R. (2003). School resources and student achievement revisited: new evidence from panel data. Economics of Education Review, 22, 329-335.
  • Hanushek, E. A. (1997). Assessing the effect of school resources on students performance: An update. Educational Evaluation and Policy Analysis, 19(2), 141 - 164.
  • Hedges, L. V., Laine, R. D.& Greenwald, R. (1994). Does money matter? A meta-analysis of studies of the effects of differential school inputs on student outcomes. Educational Researcher, 23(3), 5 - 14.
  • Higgs, N. T. (2007). Measuring and understanding the well-being of Soth Africans: Everyday quality of life in South Africans. Social Indicators Research, 81, 331 - 356.
  • Hoque, K., Razak, A., Mosa, F.& Islam, R. (2010). Impact of teacher gender on primary students’ achievement: A study at Malaysian standpoint. Journal of Sociological Research, 4(1), 124 - 144.
  • Houtenville, A. J.& Conway, K. S. (2007). Parental effort, school resources and student achievement . American Economic Association Meetings.
  • Ivanović, Z.& Baldigara, T. (2006). Multilevel models in education process performance evaluation. Tourism and Hospitality Management, 12(2), 25 - 36.
  • Khajehpour, M.& Ghazvini, S. D. (2011). The role of parental involvement affect in children's academic performance. Procedia-Social and Behavioral Sciences, 15, 1204-1208. Procedia-Social and Behavioral Sciences , 15, 1204 - 1208.
  • Kolawole, E. B. & Popoola, A. A. (2011). Four Ability Process Dimension (4APD) as a as a function of improving teaching and learning of Basic Mathematics in Ekiti State Secondary schools. ABACUS. Journal of Mathematics Association of Nigeria, 36(1), 113 - 118.
  • Koontz, H.& Weihrich, H. (1988). Management. New York: McGraw-Hill, INC.
  • Kyei, K. A.& Maboko, T. (2016). Performance of high school students in Vhembe district. Journal of Economics and Behavioral Studies, 8(1), 50 - 58.
  • Lacour, M.& Tissington, L. D. (2011). The effect of poverty on academic achievement. Educational Research and Reviews, 6(7), 522 - 527.
  • Lareau, A. (1987). Social class differences in family-school relationships: The importance of cultural capital. Sociology of Education, 60, 73 - 85.
  • Letsoalo, M. E.& Lesaoana, M. (2010). Analysis of clustered measurements: A comparison of the comparison of the performance of foundation year students, 1994 cohort with those of direct students, 1995 cohort, at the University of Limpopo, South Africa. In C. Reading (Ed.), Proceedings of the eighth international conference on teaching statistics. ICOTS.
  • Letsoalo, M. E.& Lesaoana, M. A. (2012). Determination of causal effect in observational studies: Analysis of correlated data with binary end-points. Journal of Mathematics and System Sciences, 2, 119 - 125.
  • Letsoalo, M. E., Maoto, R. S., Masha, J. K.& Lesaoana, M. (2017). The effect of gender on learner achievement in Gauteng and the Western Cape Provinces of South Africa. Gender & Behaviour, 15(2), 9177 -9184.
  • Letsoalo, M. E., Maoto, R. S., Masha, J. K.& Lesaoana, M. A. (2016). Gender as a unit of analysis: performance of male and female learners in Gauteng and Western Cape Provinces of South Africa. Gender and Behaviour, 14(2), 7504 - 7512.
  • Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50, 370 - 396.
  • Mlambo, V. (2011). An analysis of some factors affecting student academic performance in an introductory biochemistry course at the University of West Indies. Caribbean Teaching Scholar, 1(2), 79 - 92.
  • Neugebauer, M., Helbig, M.& Landmann, A. (2011). Unmasking the myth of the same-sex teacher advantage. European Sociological Review, 27(5), 669 - 89.
  • Oso, W. Y.& Onen, D. (2005). A general guide to writing research proposal and reports: A book for beginning researchers (2nd ed.). Kampala, Uganda: Makerere University Press.
  • Pan, D., Rudo, Z.& Smith-Hansen, L. (2003). Resource allocation does Matter in improving student performance. Conference of the American Education Finance Association. Orlando.
  • Peters, H. E.& Mullis, N. C. (1997). The role of family income and sources of income in adolescent achievement. In G. Duncan, & J. Brooks-Gunn, Consequences of growing up poor (pp. 340 - 381). Russell Sage Foundation Press.
  • Rauf, A. (1984).Dynamic Educational Psychology. Lahore: Pakistan: Caravan Book House.
  • Reid, J. M. (1995). Learning styles in the ESL/EFL classroom. Boston: Heinle & Heile Publishers.
  • Rich, A. (2000). Beyond the classroom: How parents influence their children's education. CIS Policy Monograph 48, Centre for Independent Studies, Sydney.
  • Rogers, W. T. (1997). Socio-economic status strong predictor of performance. Alberta Teachers’ Association Publication, 32(3).
  • Rowan, B., Cohen, D. K.& Raudenbush, S. W. (2004). Improving the educational outcomes of students in poverty through multidisciplinary researcg and development. Retrieved August 25, 2017, from http://www.isr.umich.edu/carss/about/Prospectus.pdf
  • Saifi , S.& Mehmood , T. (2011). Effect of socioeconomic status on student achievement. International Journal of Social Sciences and Education, 1(2), 119 - 128.
  • Schmidt, R. (1983). Who maximizes what? A study in student time allocation. American Economic Review, 73(2), 23 - 28.
  • Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417 - 453.
  • Spilt, J. L., Koomen, H. M.& Jak, S. (2012). Are boys better off with male and girls with female teachers? A multilevel investigation of measurement invariance and gender match in teacher-student relationship quality. Journal of School Psychology, 50(3), 363 - 378.
  • StataCorp. (2015). Stata statistical software (Version 14). College Station, TX: StataCorp LP.
  • Sui-Chu, E. H.& Willms, J. D. (1996, April). Effects of parental involvement on eighth-grade achievement. Sociology of Education, 69(2), 126 - 141. doi: 168.172.0.247
  • Sum, A. M. & Fogg, W. N. (1991). The adolescent poor and the transitionto early childhood. In P. Edelman, & J. Ladner,Adolescence & poverty: Challenge for the 1990s (pp. 37 - 110). Lanham, MD: Center for National Policy Press.
  • Szumilas, M. (2010). Explaining Odds Ratios. J Can Acad Child Adolesc Psychiatry, 19(3), 227 - 229.
  • van der Berg, S. (2007). Apartheid's enduring legacy: Inequalities in education. Journal of African Economies, 16(5), 849 - 880.
  • Warwick, D. P.& Jatoi, H. (1994). Teacher gender and student achievement in Pakistan. Comparative Education Review, 38(3), 377 -399.
  • Weis, M., Heikamp, T.& Trommsdorff, G. (2013). Gender differences in school achievement: The role of selfregulation. Frontiers in Psychology, 4, 442. doi: 10.3389/fpsyg.2013.00442.

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How to Cite

Letsoalo, M. (2017). Disaggregated Analysis of Performances of Grade 12 Learners in Gauteng Province, Republic of South Africa. Journal of Education and Vocational Research, 8(2), 34-44. https://doi.org/10.22610/jevr.v8i2.1860

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Research Paper

Published in

Vol. 8 No. 2 (2017) Branding, Environment & Learner Performance View issue contents

Published

2017-09-28

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