Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity
Journal Title: Alphanumeric Journal - Year 2016, Vol 4, Issue 2
Abstract
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.
Authors and Affiliations
Sevda Gürsakal, Dilek Murat, Necmi Gürsakal
Keywords
Related Articles
- EP ID EP197274
- DOI 10.17093/aj.2016.4.2.5000186603
- Views 156
- Downloads 0
Determining the Risk Factors Causing Cancer with Logistic Regression Analysis
The number of cancer patients is gradually increasing, and the main cause of this disease is believed widely to be genetic. However, the mere cause of this disease is not genetic. The purpose of this study was to determi...
Robust Principal Component Analysis Based On Modified Minimum Covariance Determinant In The Presence Of Outliers
Principal component analysis (PCA) is not resistant to outliers existing in multivariate data sets. The results which are obtained by using classical PCA are far from real values in the presence of outliers. Therefore, u...
Evaluation of Personel E-Commerce Applications with Categorical Data Analysis Methods
Categorical Data Analysis Methods, a collection of methods used in the analysis of categorical data sets. Especially in the field of Social Sciences, categorical data sets commonly used in studies is usually nominal, ord...
The Relationship Between Bank Loans And Economic Growth In Turkey: 1995-2010
In this study, we aim to determine the direction of the relationship between the economic growth and total credits of Turkish Banks. Accordingly, we analyzed this relationship for the period 1995-2010, by using quarterly...
Analysis of Volvo IT’s Closed Problem Management Processes By Using Process Mining Software ProM and Disco
In this study, the event logs for closed problems which was created by Volvo IT Belgium for the Business Process Intelligence Challenge in 2013 are evaluated by using Process Mining software. One of these software (ProM)...