The investigation of the relationship between university students' levels of life quality and leisure satisfaction

Abstract

The purpose of this research is to examine the relationship between university students’ levels of life quality and leisure satisfaction according to some demographic variables. 680 (429 men and 251 women) people studying at Bartın University participated in the research. In the research, “Personal Information Form” prepared by researchers, developed by Beard and Ragheb (1980) and Turkish adaptation was made by Karlı et al. (2008) “Leisure Satisfaction Scale: LSS” and developed by the World Health Organization and Turkish adaptation was made by Eser et al. (1999) “Quality of Life Scale Short Form: QLS” was used. In the analysis of the data; according to the demographic characteristics of the participants, t-test and ANOVA to investigate the differences between levels of life quality and leisure satisfaction; Pearson Correlation test was applied to examine relations between variables. In the findings of the research, there was no significant difference in the t-test results according to the “gender” variable in the LSS and QLS total score averages (p>0,05). There was no significant relationship between LSS and QLS total score averages according to “age” variables in the correlation test results (p>0,05). There was a significant difference in the “psychological” subscale of the LSS according to the “department” variable in the ANOVA test results (p˂0,05). This significant difference is between the physical education and sports teaching and the sport administration department, and it is in favor of the students of the physical education and sports teaching department. In the correlation test results, there was a significant positive and low level relationship between the “family income” variable and the QLS total scores (p˂0,05). There was a significant positive and low level relationship between the “personal income” variable and the total scores of LSS and QLS (p˂0,05). On the other hand, there was no significant relationship between the mean scores of LSS and QLS according to the variable “daily leisure time” (p>0,05). In addition, there was no significant relationship between the participants’ mean scores of LSS and QLS (p>0,05). As a result, variables such as family income and personal income were found to have an impact on participants’ levels of leisure satisfaction and quality of life, although there was no significant relationship between participants’ levels of leisure satisfaction and quality of life.