Hogging the middle lane: How student performance heterogeneity leads Turkish schools to fail in PISA?

Main Article Content

Sengul Uysal
Koksal Banoglu

Abstract

This study aims to analyze the relationship between students’ mathematics achievement in PISA 2012 and the instructional climate related factors in the index of principals’ perceptions (learning hindrance, teacher morale and teacher intention). The current study suggested classroom homogeneity was the most significant predictor, among 29 independent variables included in the instructional climate dimension of survey on Turkish students’ mathematics achievement at Programme for International Student Assessment (PISA) exams. As preliminary analysis procedure, the chi-squared Automatic Interaction detection (CHAID) analysis was performed with relevant independent variables. Teacher’s achievement expectation from students and achievement-oriented behaviours were other significant predictive indicators on PISA mathematics achievement. Based upon these independent variables and standard deviation estimates of PISA mathematics scores, present research developed a theoretical model by means of confirmatory factor analysis (CFA), explaining how students’ PISA mathematics achievement is associated with classroom and within school homogeneity through teachers’ expectation and achievement-oriented behaviours. Results showed that the developed model provided a great model-data fit. This model revealed that classroom achievement homogeneity and within school achievement homogeneity were the most important predictors on students’ PISA mathematics achievement. Furthermore they have a significant influence on teachers’ achievement expectation from students and achievement-oriented behaviours as well.


 

Downloads

Download data is not yet available.

Article Details

Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.