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Problem Statement: Although teacher support is important for many student outcomes, including academic achievement, attendance, wellbeing, and dropout, related factors remain unexamined. The Purpose of the Study: The aim of this study was to investigate predictors of perceived teacher support of 15-year-old students who participated in the 2012 Programme for International Student Assessment in either Turkey or Shanghai. Method: In this basic research, secondary analyses were performed with PISA 2012 data, and multiple linear regression analyses were used to predict the variables that affect teacher support as perceived by students. Findings: Results show that a sense of belonging at school, instrumental motivation for mathematics, mathematics self-efficacy, and attitudes toward school in terms of learning outcomes and learning activities are predictors of teacher support in Turkey. In Shanghai, teacher support was predicted by a different set of variables, including mathematics teacher’s classroom management, teacher behavior in terms of student orientation, interest in mathematics, attitude toward school in terms of learning outcomes, mathematics self-efficacy, and educational resources at home. In Turkey, the five affective variables explained only 13% of the variance, whereas in Shanghai, the six affective variables explained 24% of the variance. Conclusion and Recommendations: In models of teacher support, Turkey and Shanghai differ, particularly in terms of total prediction levels, as the model constructed for Shanghai was more predictive than that for Turkey. The most predictive variable in Shanghai was teacher classroom management and, in Turkey, sense of belonging at school. Similarities did emerge, however; mathematics self-efficacy and attitudes toward school in terms of learning outcomes were predictors of teacher support in both countries. Since teacher support is important to students’ personal development, academic achievement, and well-being, the results can support the execution of educational activities in schools and the investigation of ways to increase such support. Keywords: Predictors, multiple linear regression, teacher characteristics, affective characteristics
Akgül et al. (Mon,) studied this question.