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An Analysis of Academic Performance: Could Family Income and Medium of Instruction Be Determinants?

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  • Seyit Mümin CİLASUN

Abstract

Analyses of the determinants of college grades have a long history and an extensive literature. However, there are not enough studies in this area for developing countries. In this paper, we tried to investigate the factors that could affect the Cumulative Grade points Average (CGPA) of first-year management students at Atilim University, particularly the family income and the medium language of instruction. We gave surveys to first year students and asked questions regarding educational attainment of the family, income, gender, age, university entrance score, high school average grade and the department of the student (whether they are in Management in English department or Management in Turkish department). Using data regarding the information obtained from the surveys, we have estimated our linearly formed model. According to the results, while family income has a negative effect on CGPA, university entrance score positively affects the CGPA. On the other hand, education language is not found as a determinant of academic performance.

Suggested Citation

  • Seyit Mümin CİLASUN, 2013. "An Analysis of Academic Performance: Could Family Income and Medium of Instruction Be Determinants?," Sosyoekonomi Journal, Sosyoekonomi Society, issue 19(19).
    • Handle: RePEc:sos:sosjrn:130101
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    References listed on IDEAS

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    1. World Bank, 2011. "World Development Report 2011 [Rapport sur le développement dans le monde 2011 : Conflits, sécurité et développement - Abrégé]," World Bank Publications - Books, The World Bank Group, number 4389, December.
    2. L. G. Drennan & F. H. Rohde, 2002. "Determinants of performance in advanced undergraduate management accounting: An empirical investigation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 42(1), pages 27-40, March.
    3. Nicole Schneeweis, 2006. "How should we organize schooling to further children with migration background?," Economics working papers 2006-20, Department of Economics, Johannes Kepler University Linz, Austria.
    4. Ethridge, Don E. & Hudson, Darren, 1996. "Can We Predict Student Success in Agricultural Economics Graduate Programs?," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 14(2), pages 1-15.
    5. World Bank, 2012. "World Development Report 2012 [Rapport sur le développement dans le monde 2012]," World Bank Publications - Books, The World Bank Group, number 4391, December.
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    Cited by:

    1. Elif Öznur Acar & Seyit Mümin Cilasun & Burak Günalp, 2016. "An Analysis of Education Expenditures in Turkey by Income Groups," Working Papers 991, Economic Research Forum, revised Apr 2016.
    2. Acar, Elif Öznur & Günalp, Burak & Cilasun, Seyit Mümin, 2016. "An empirical analysis of household education expenditures in Turkey," International Journal of Educational Development, Elsevier, vol. 51(C), pages 23-35.
    3. Fatima Hafeez & Adnan Haider & Naeem uz Zafar, 2016. "Impact of Public-Private-Partnership Programmes on Students’ Learning Outcomes: Evidence from a Quasi-Experiment," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 955-1017.

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    More about this item

    Keywords

    Academic Performance; Family Income; Developing Country; Medium of Instruction; Tobit Regression.;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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