Abstract:

It is aimed to reveal the predicted circumstance of the depression levels of high school students in terms of different demographic variables. The study group of the present study consists of  270 students (159 females, 111 males) from 11th and 12th grade high school students who are randomly selected from 10 different high schools within Tuşba, İpekyolu and Edremit districts of Van province metropolitan municipalities in 2016-2017 education year. Depression subscale of Brief Symptom Inventory (BSI), UCLA Loneliness Scale and Demographic Information Form have been used in the study within descriptive and relational screening model based on quantitative data. As participants may exhibit a heterogeneous structure in terms of the points they have taken from the measurement tools, and in this context as participants in the study group may come from separate universes, depression as a dependent variable and loneliness as an independent variable were analyzed by Two-Step Cluster analysis. The predictors that can be effective on the perceptions of participants were modeled by multinomial logistic regression analysis. As a result of Multinomial Logistic Regression Analysis, on the predicted depression variable gender, maternal education status and quadruple categorized loneliness variables have been found significant. It has been also found that there is a strong positive relationship between depression status and loneliness levels of high school students.

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