Abstract
The World Health Organization accepts quality of life as individuals' perceptions of their position in life in relation to their life goals, expectations, standards and concerns within the scope of personal and social value systems. In this context, there is a close relationship between people's quality of life and physical, psychological state, social relations, environment, economic and other factors. In this study, it was aimed to measure the quality of life of Atatürk University, Faculty of Letters, Department of Geography students according to the WHOQOL-BREF-TR scale. Questionnaire technique was used to collect the data, and the WHOQOL-BREF-TR quality of life scale, which consists of 26 questions, was used in addition to demographic characteristics and quality of life characteristics. A total of 302 students were surveyed. The analysis of the data obtained by the quantitative research method was made with the help of IBM SPSS 25 program. In the analysis of the data, descriptive frequency analysis, T test for independent samples, One Way Anova and correlation analyses were applied for independent samples. In addition, studies on quality of life were examined in the VOSWeawer 1.18 program according to WOS and Scopus indexes. According to the results of the T-test analysis for the applied independent samples, the gender variable of the students and their physical health; it has been determined that there is a significant difference between the marital status of the students and the sub-dimensions of physical health, psychological status, social relations and environment. In addition, one-way analysis of variance (One Way Anova) was performed for independent samples. According to this, the average monthly income of the family and physical health, the age of the students and the social relations with the class they study; it has been determined that there is a significant difference between the average monthly income of the family and the administrative unit where the family resides and the environment. According to the results of the Spearman correlation analysis, it was determined that there was a weak and moderate positive or negative linear relationship between the variables in a large part.
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