Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity

The importance of educational opportunity inequality has been increasing within the context of education systems during recent years. In addition to quality in education, opportunity equality is among the significant paradigms in countries of high educational performance. Thus, it is of utmost impor...

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Main Authors: Sevda Gürsakal, Dilek Murat, Necmi Gürsakal
Format: Article
Language:English
Published: Istanbul University 2016-09-01
Series:Alphanumeric Journal
Subjects:
Online Access: http://alphanumericjournal.com/media/Issue/volume-4-issue-2-2016/assessment-of-pisa-2012-results-with-quantile-regression-ana_w7nuN0w.pdf
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author Sevda Gürsakal
Dilek Murat
Necmi Gürsakal
author_facet Sevda Gürsakal
Dilek Murat
Necmi Gürsakal
author_sort Sevda Gürsakal
collection DOAJ
description The importance of educational opportunity inequality has been increasing within the context of education systems during recent years. In addition to quality in education, opportunity equality is among the significant paradigms in countries of high educational performance. Thus, it is of utmost importance to research the relationship between socio-economic characteristics of the students and achievement based on opportunity equality. Especially to remove the gap observed in Turkish literature is among the objectives of the present study. The main objective of the study is to assess the socio-demographic characteristics that affect the achievement of students in mathematics within the context of educational opportunity equality for PISA 2012 Turkey sample. Data analysis was conducted with quantile regression (QR) and classical linear regression (OLS). As a result, it was determined that students' family background, familiarity with information and communication technology and school climate were affective on mathematics achievement. It was observed that as parentel education, educational resources at home, and index of familty wealth increased, mathematics achievement increased as well. It was also observed that time of computer use had a negative effect on achievement in mathematics. Furthermore, study findings identified that the achievement of male students was higher than females.
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spelling doaj.art-bab309e86d7c40c29910d2fdbd6039ad2023-02-15T16:07:35ZengIstanbul UniversityAlphanumeric Journal2148-22252016-09-01424154http://dx.doi.org/10.17093/aj.2016.4.2.500018660321482225Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational OpportunitySevda Gürsakal0Dilek Murat1Necmi Gürsakal2 Uludag University, Department of Econometrics, Faculty of Economics and Administrative Sciences Uludag University, Department of Econometrics, Faculty of Economics and Administrative Sciences Uludag University, Department of Econometrics, Faculty of Economics and Administrative Sciences The importance of educational opportunity inequality has been increasing within the context of education systems during recent years. In addition to quality in education, opportunity equality is among the significant paradigms in countries of high educational performance. Thus, it is of utmost importance to research the relationship between socio-economic characteristics of the students and achievement based on opportunity equality. Especially to remove the gap observed in Turkish literature is among the objectives of the present study. The main objective of the study is to assess the socio-demographic characteristics that affect the achievement of students in mathematics within the context of educational opportunity equality for PISA 2012 Turkey sample. Data analysis was conducted with quantile regression (QR) and classical linear regression (OLS). As a result, it was determined that students' family background, familiarity with information and communication technology and school climate were affective on mathematics achievement. It was observed that as parentel education, educational resources at home, and index of familty wealth increased, mathematics achievement increased as well. It was also observed that time of computer use had a negative effect on achievement in mathematics. Furthermore, study findings identified that the achievement of male students was higher than females. http://alphanumericjournal.com/media/Issue/volume-4-issue-2-2016/assessment-of-pisa-2012-results-with-quantile-regression-ana_w7nuN0w.pdf inequality of educational opportunitymathematics scorepisaquantile regression
spellingShingle Sevda Gürsakal
Dilek Murat
Necmi Gürsakal
Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
Alphanumeric Journal
inequality of educational opportunity
mathematics score
pisa
quantile regression
title Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
title_full Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
title_fullStr Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
title_full_unstemmed Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
title_short Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
title_sort assessment of pisa 2012 results with quantile regression analysis within the context of inequality in educational opportunity
topic inequality of educational opportunity
mathematics score
pisa
quantile regression
url http://alphanumericjournal.com/media/Issue/volume-4-issue-2-2016/assessment-of-pisa-2012-results-with-quantile-regression-ana_w7nuN0w.pdf
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AT necmigursakal assessmentofpisa2012resultswithquantileregressionanalysiswithinthecontextofinequalityineducationalopportunity