Lise Öğrencilerinin Okul Terk Risklerini Etkileyen Öğrenci ve Okul Düzeyindeki Faktörler

Abstract

The aim of this research is to determine student and school level factors that cause dropout risk based on bioecological approach and to examine interactions among these factors. This study is a correlational predictive research. Participants were determined by using two-stage sampling method. 30 schools have been randomly selected among high schools in seven central districts of Ankara in 2016-2017 school year spring semester and data was collected from 1851 students and 30 schools by realizing application of measuring tools to one each of three grade levels (9th, 10th, and 11th grade). Two-stage hierarchic linear model was tested by using HLM 6 packaged software. According to research results, there are statistically meaningful differences among dropout risk averages of the schools. Student level variables which are working in a job without school, having dropout friends, antisocial behavior, risky environment, and school alienation increase dropout risk while secure environment, academic pursuit, school loyalty, and family participation decrease it. There is no statistically meaningful difference among grade, academic achievement and dropout risk. Correlation between class grade and dropout risk changes depending on the number of student clubs in schools and dropout risk is lower in 11th grade classes than 9th grade classes in schools which have more student clubs. In schools which implement more disciplinary punishment, dropout risk of successful students is lower than unsuccessful students. Dropout risks of students who see environment as secure are lower in schools which have more psychological counselors, dropout risks of students who behave antisocial are higher in schools which implement more disciplinary punishment. Dropout risk of students who see environment as risky is lower in schools which have more cultural opportunities than the schools which have fewer opportunities.

Keywords: High school students, school dropout risk, school opportunities, bioecological approach, student-school level factors, hierarchic linear model