The effect of socio-economic characteristics of parents on student achievement: Is poverty destiny?<p>Ailelerin sosyo-ekonomik özelliklerinin öğrenci başarısı üzerindeki etkisi: Fakirlik kader midir?

Authors

  • Cemil Çiftçi Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Economics
  • Atalay Çağlar Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Econometrics

Keywords:

Family Structure, Inequality, Intergenerational Income Distribution, Aile Yapısı, Eşitsizlik, Nesillerarası Gelir Dağılımı

Abstract

The social, economic and cultural characteristics of family, that is transmitted to children biologically and culturally, has an impact on socio-economic achievements of individuals in question throughout their life. In that respect, we analyzed the impact of socio-economic characteristics of families on numerical and equal-weighted “The Transition to Higher Education Examination” (YGS) scores of high-school graduate students in Denizli in 2012. The findings of the study show that private teaching institution, education level of father and elementary family variables have a positive impact, while being transferred from another school has a negative impact on these scores. On the other hand the result of numerical scores are effected by much more socio-economic variables than equal-weighted scores have important clues for the politics devoted to increasing academic achievements and decreasing income-inequalities.

 

Özet

Ailelerin sosyal, kültürel ve ekonomik özellikleri biyolojik ve kültürel olarak çocuklara aktarılarak, söz konusu bireylerin hayatları boyunca elde edecekleri ekonomik, sosyal ve kültürel kazanımlarını bir bütün olarak etkilemektedir. Bu doğrultuda çalışmamızda ailelerin sosyo-ekonomik özelliklerinin Denizli’de 2012 yılında mezun olan lise öğrencilerinin YGS sayısal ve eşit ağırlık puanları üzerindeki etkisi analiz edilmiştir. Çalışmamızın sonuçlarına göre dershane, babanın eğitim düzeyi ve çekirdek aile durumu sayısal ve eşit ağırlık puan türlerinin her ikisinde de başarıyı olumlu etkileyen, başka bir okuldan nakil ise olumsuz etkileyen ortak değişkenler olarak öne çıkmaktadır. Sayısal puan türünde başarıyı etkileyen sosyo-ekonomik faktörlerin çok daha fazla olması ise, eğitimde başarıyı artırmaya ve gelir dağılımındaki eşitsizlikleri azaltmaya yönelik politikalar için önemli ipuçları vermektedir.

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Author Biographies

Cemil Çiftçi, Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Economics

Assist. Prof. Dr., Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Economics

Atalay Çağlar, Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Econometrics

Assist. Prof. Dr., Pamukkale University, Faculty of Economics and Administrative Sciences, Department of Econometrics

References

Acemoglu, D. & Pischke, J. S. (2001). Changes in the wage structure, family income, and children's education, European Economic Review, 45, 890-904.

Agresti, A. (2007). An Introduction to Categorical Data Analysis, New Jersey: John Wiley & Sons. Inc.

Akar, H. (2010). Challenges for schools in communities with internal migration flows: evidence from Turkey, International Journal of Educational Development, 30, 263–276.

Albayrak, A. S. (2006), Uygulamalı Çok Değişkenli İstatistik Teknikleri, Ankara: Asil Yayın Dağıtım.

Astin, A.W. & Oseguera, L. (2004). The Declining “Equity” of American Higher Education, The Review of Higher Education, 27(3), 321-341.

Bahadır, E., Özdemir, A. Ş. (2013). Öğretmen Adaylarının Akademik Başarılarının Sınıflandırılmasında Lojistik Regresyon Analizi Yaklaşımı, Turkish Studies-International Periodical For The Languages, Literature and History of Turkish or Turkic, 8(8): 203-214.

Baker, D. P., Goesling, B., & Letendre, G. K. (2002). Socioeconomic Status, School Quality, and National Economic Development: A Cross-National Analysis of the “Heyneman-Loxley Effect” on Mathematics and Science Achievement, Comparative Education Review, 46 (3), 291-312.

Barnard, W. M. (2004). Parent involvement in elementary school and educational attainment, Children and Youth Services Review, 26, 39–62.

Barro, R. J. & Lee, Jong-Wha (2013). A new data set of educational attainment in the world, 1950–2010, Journal of Development Economics, 104 (2013) 184–198.

Barro, R. J. (2001). Human Capital and Growth, The American Economic Review, 91 (2), 12-17.

Barro, R. J. (2013). Education and Economic Growth, Annals Of Economics and Finance, 14(2), 277-304.

Bayram, N. (2004). “Multinominal Lojistik Regresyon Analizinin İstihdamdaki İşgücüne Uygulanması”, İstanbul Üniversitesi İktisat Fakültesi Mecmuası, 2, 54, 61-75.

Becker, G. S. & Tomes, N. (1994). Human Capital and the Rise and Fall of Families, NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd Edition), pages 257-298 National Bureau of Economic Research, Inc.

Benli, Y. K. (2005). “Bankalarda Mali Başarısızlığın Öngörülmesi Lojistik Regresyon ve Yapay Sinir Ağı Karşılaştırması”, Gazi Üniversitesi Endüstriyel Sanatlar Eğitim Fakültesi Dergisi, 16, 31-46.

Bender, R. & Grouven, U. (1998). “Using Binary Logistics Regression Models for Ordinal Data with Non-proportional Odds”, Journal of Clinical Epidemiology, 51(10), 809-816.

Blanden, J. & Machin, S. (2004). Educational Inequality And The Expansion Of UK Higher Education, Scottish Journal of Political Economy, 51(2), 230-249.

Bound, J. & Johnson, G. (1992). Changes in the Structure of Wages in the 1980's: An Evaluation of Alternative Explanations, The American Economic Review, 82 (3), 371-392.

Brunello, G. & Checchi, D. (2007). Does school tracking affect equality of opportunity? New international evidence, Economic Policy, CEPR & CES & MSH, 22, 781-861.

Caner, A. & Okten, C.(2013). Higher education in Turkey: Subsidizing the rich or the poor?, Economics of Education Review, 35, 75-92.

Caner, A. & Okten, C.(2010). Risk and career choice: Evidence from Turkey, Economics of Education Review, 29, 1060–1075.

Chiu, M. M. & Khoo, L. (2005). Effects of Resources, Inequality, and Privilege Bias on Achievement: Country, School, and Student Level Analyses, American Educational Research Journal, 42(4), 575–603.

Chiu, M. M. & Xihua, Z., (2008). Family and motivation effects on mathematics achievement: Analyses of students in 41 countries, Learning and Instruction, 18, 321-336.

Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2012). Sosyal Bilimler İçin Çok Değişkenli İstatistik: SPSS ve LISREL Uygulamaları, Ankara: Pegem Akademi.

Demir, İ., Kılıç, S. & Ünal, H. (2010). Effects of students’ and schools’ characteristics on mathematics achievement: findings from PISA 2006, Procedia Social and Behavioral Sciences, 2, 3099–3103.

Dinçer, M.A. & Uysal, G. (2010). The determinants of student achievement in Turkey, International Journal of Educational Development, 30, 592–598.

Dustmann, C., Rajah, N. & Soest, A. V. (2003). Class Size, Education, and Wages, The Economic Journal, 113(485), F99-F120.

Dünya Bankası (2013). Türkiye’de Erken Çocukluk Eğitiminin Yaygınlaştırılması ve Geliştirilmesi, Rapor No:77723-TR.

Eğitimi Araştırma ve Geliştirme Dairesi Başkanlığı (2007). OBBS 2005 Matematik Raporu: İlköğretim Öğrencilerinin Başarılarının Belirlenmesi [OBBS 2005 mathematics report: Examination of primary-school student achievement]. Retrieved from http://earged.meb.gov.tr/earged/Ol%C3%A7me/dokumanlar/obbs/2005/matematik.pdf

Ekinci, C. E. (2011). Bazı Sosyoekonomik Etmenlerin Türkiye’de Yükseköğretime Katılım Üzerindeki Etkileri, Eğitim ve Bilim, 36 (160), 281-297.

Engin-Demir, C. (2009). Factors influencing the academic achievement of the Turkish urban poor, International Journal of Educational Development, 29, 17-29.

Gilpin, G. A. (2012). Teacher salaries and teacher aptitude: An analysis using quantile regressions, Economics of Education Review, 31, 15-29.

Glomm, G. & Ravikumar, B. (1992). Public versus Private Investment in Human Capital: Endogenous Growth and IncomeInequality, Journal of Political Economy, 100(4), 818-834.

Goldin, C. & Katz L. F. (2008). The Race between Education and Technology, Cambridge, MA: The Belknap Press of Harvard University Press.

Gregorio, J. D. & Lee, J.-W. (2002). Education And Income Inequality: New Evidence From Cross-Country Data, Review of Income and Wealth Series, 48 (3), 395-416.

Hanushek, E. A. (1986). The Economics of Schooling: Production and Efficiency in Public Schools, Journal of Economic Literature, 24(3), 1141-1177.

Hanushek, E. A. (1997). Assessing the Effects of School Resources on Student Performance: An Update, Educational Evaluation and Policy Analysis, 19(2), 141-164.

Hatakenaka, S. (2006). Higher education in Turkey for 21st century: Size and composition. World Bank. Retrieved January 02, 2014, from http://siteresources.worldbank.org/EXTECAREGTOPEDUCATION/Resources/444607-1192636551820/S._Hatakenakas_report_on_Higher_Education_in_Turkey_for_21st_Century_Nov_2006.pdf.

Hill, N. E. & Taylor, L. C. (2004). Parental School Involvement and Children's Academic Achievement: Pragmatics and Issues, Current Directions in Psychological Science, 13(4), 161-164.

Karagöz, Y., Kıngır, S. & Yıldız, M. S. (2010). İş Tatminini Etkileyen Faktörlerin Kriz Ortamındaki Etkisinin Lojistik Regresyon Analizi İle Belirlenmesi, SÜ İİBF Sosyal ve Ekonomik Araştırmalar Dergisi, 13, 341-362.

Kingdon, G. G. & Teal, F. (2007). Does performance related pay for teachers improve student performance? Some evidence from India, Economics of Education Review, 26, 473–486.

Kumaş, H. & Çağlar, A. (2010). Türkiye’de Kadın Eksik İstihdamını Belirleyen Faktörler: TÜİK 2009 Hanehalkı İşgücü Anketi Ham Verileri İle Cinsiyete Dayalı Bir Karşılaştırma, Çalışma ve Toplum, 29(2), 248-289.

Lee, Jong-Wha & Barro, R. J. (1997). Schooling Quality in A Cross Section of Countries, NBER Working Papers 6198, National Bureau of Economic Research, Inc.

McEwan, P. J. (2003). Peer effects on student achievement: evidence from Chile, Economics of Education Review. 22. 131–141.

Mertler, C. A. & Vannatta, R. A. (2005). Advanced and Multivariate Statistical Methods: Practical Application and Interpretation, Glendale, CA: Pyrczak Publishing.

Mohammadi, H., Akkoyunlu, P. & Seker, M. (2011). School Resources, Family Characteristics and Student Performance Evidence from Secondary School Entrance Exam in Turkey, Education and Science, 36, 159.

Murat, D. & Işığıçok, E. (2007). 2007 Seçim Döneminde Ekonomik ve Siyasi Duruma İlişkin Beklentiler: Bursa Örneği, 8. Türkiye Ekonometri ve İstatistik Kongresi, 24-25 Mayıs 2007, Malatya, http://web.inonu.edu.tr/~eisemp8/bildiri-pdf/murat-isigicok.pdf (06.03.2011).

Nargeleçekenler, M. (2005). Suç Veritabanının Lojistik Regresyon Analizi ile Tahmini: Bursa Örneği, Polis Bilimleri Dergisi, 7(2), 31-49.

Nikolic, N., Zarkic-Joksimovic, N., Stojanovski, D. & Joksimovic, I. (2013). The Application of Brute Force Logistic Regression to Corporate Credit Scoring Model: Evidence From Serbian Financial Statements, Expert Systems with Applications, 40, 5932-5944.

OECD (2013). PISA 2012 Results in Focus, What 15-year-olds know and what they can do with what they know.

Peng, Chao-Ying J., Lee K, L. & Ingersoll, G. M. (2002). An Introduction to Logistic Regression Analysis and Reporting, The Journal of Educational Research, 96(1), 3-14.

Pohlman, J.T. & Leitner, D. W. (2003). A Comparison of Ordinary Least Squares and Logistic Regression, Ohio Journal of Science, 103(5), 118-125.

Press, S.J. & Wilson, S., (1978). Choosing Between Logistic Regression And Discriminant Analysis, Journal of American Statistical Association, 73(364), 699-705.

Schütz, G., Ursprung, H. W. & Woessmann, L. (2005). Education policy and equality of opportunity, IZA Discussion Papers, No. 1906, September.

Smits, J. & Hoşgör, A. G. (2006). Effects of family background characteristics on educational participation in Turkey, International Journal of Educational Development, 26, 545–560.

Tansel, A. (2002). Determinants of school attainment of boys and girls in Turkey: individual, household and community factors, Economics of Education Review, 21, 455–470.

Tansel, A. & Bircan, F. (2006). Demand for education in Turkey: A tobit analysis of private tutoring expenditures, Economics of Education Review, 25, 303–313.

Tansel, A. & Bircan-Bodur, F. (2012). Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis, Review of Development Economics, 16(1), 107–121.

Tatlıdil, H. (1996). Uygulamalı Çok Değişkenli İstatistiksel Analiz, Ankara: Cem Web Ofset.

Teachman, J. D. (1987). Family Background, Educational Resources, and Educational Attainment, American Sociological Review, 52(4), 548-557.

Tomul, E. & Celik, K. (2009). The relationship between the students’ academics achievement and their socioeconomic level: cross regional comparison, Procedia Social and Behavioral Sciences, 1, 1199–1204.

Veenstra, R. & Kuyper, H. (2004). Effective Students and Families: The Importance of Individual Characteristics for Achievement in High School, Educational Research and Evaluation, 10(1), 41–70.

Yetkiner Ozel, Z. E., Ozel, S., & Thompson, B. (2013). SES-related mathematics achievement gap in Turkey compared to European Union countries, Education and Science, 38(170), 179-193.

Zeyneloğlu, S. (2007). Üniversite kapısındaki yığılma: Geri dönüşü olmayan para, emek ve zaman yatırımı, İktisat İşletme ve Finans, 22(260), 38-65.

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Published

2014-07-16

How to Cite

Çiftçi, C., & Çağlar, A. (2014). The effect of socio-economic characteristics of parents on student achievement: Is poverty destiny?&lt;p&gt;Ailelerin sosyo-ekonomik özelliklerinin öğrenci başarısı üzerindeki etkisi: Fakirlik kader midir?. Journal of Human Sciences, 11(2), 155–175. Retrieved from https://www.j-humansciences.com/ojs/index.php/IJHS/article/view/2914

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Section

Economics