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The purpose of this study is to determine the characteristics of teachers that are effective in classifying low- and high-performing schools in PISA 2012 for Singapore. The TALIS 2013 teacher survey was used to identify the variables and data were obtained from the OECD official website. All schools participating in the PISA 2012 are ranked in terms of average achievement scores and the schools in the top and bottom 25% were selected for analysis. Given the structure of the research data, the IDB Analyzer program was used and the data were resolved using binary logistic regression analysis. According to the results, teachers' scores on the Classroom Disciplinary Climate, Self-Efficacy, and Teacher-Student Relations scale significantly changed the possibility of schools being successful in PISA 2012. The study's findings were discussed within the scope of the related literature and proposals were submitted for future applications and research.
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