A Logistic Regression Analysis of Turkey’s 15-yearolds’ Scoring above the OECD Average on the PISA’09 Reading Assessment

This study aims to investigate which factors are associated with Turkey’s 15-year-olds’ scoring above the OECD average (493) on the PISA’09 reading assessment. Collected from a total of 4,996 15-year-old students from Turkey, data were analyzed by logistic regression analysis in order to model the data of students who were split into two: (1) those students who scored above the OECD average of 493 points on the PISA’09 reading assessment, and (2) those who scored below the average. Specifically, the results indicated that gender, age when first entering school, mother’s level of education, the number of books present at home, students’ attitudes toward reading, and the amount of time spent learning the test’s language (Turkish) per week were those factors found to predict the probability of students’ scoring above the OECD average (493) on the PISA’09 reading assessment.