
The relationship between leisure constraints, technology addiction and life satisfaction: A study on Turkish university students
Author(s) -
Emrah Serdar,
AUTHOR_ID,
Mehmet Demirelb,
AUTHOR_ID
Publication year - 2021
Publication title -
journal of educational sciences and psychology
Language(s) - English
Resource type - Journals
eISSN - 2247-8558
pISSN - 2247-6377
DOI - 10.51865/jesp.2021.2.19
Subject(s) - turkish , multivariate analysis of variance , psychology , addiction , smartphone addiction , leisure satisfaction , scale (ratio) , life satisfaction , addictive behavior , sample (material) , data collection , pearson product moment correlation coefficient , leisure activity , applied psychology , clinical psychology , social psychology , social science , geography , statistics , psychiatry , mathematics , sociology , philosophy , linguistics , chemistry , cartography , chromatography
This study aimed to determine the relationship between leisure constraints, technology addictions and life satisfaction of university students. The sample of the study consisted of a total of 234 people who were studying at Istanbul University-Cerrahpaşa Faculty of Sports Sciences. As a data collection tool, “Leisure Constraints Scale-Short Form (LCS-SF)”, “Technology Addiction Scale (TAS)” and "Life satisfaction Scale (LSS)" were used as a data collection tool. İndependent t-Test, ANOVA, MANOVA and Pearson Correlation analysis were used. According to MANOVA analysis, the main effect of gender and weekly leisure on LCS and TAS was significant. According to Pearson Correlation analysis, it was found that there was a positive and low relationship between the "Individual Psychology", "Lack of Friends", "Time" and "Lack of Interest" sub-dimensions of LCS and the sub-dimensions of "Social Network Addiction", "Instant Messaging Addiction" and "Web Site Addiction" of TAS. As a result, it can be said that the LCS, TAS and LSS scores differed according to the socio-demographic characteristics of the participants, and as the leisure constraints of the individuals increased, their technology addiction also increased.