The aim of the study is to investigate the relationship between the factors that prevent university students from attending to the recreational activities and the life satisfaction of the participants with the demographic variance. In accordance with this purpose, totally 263 students that are 140 (53.2%) “women” and 123 (46.8%) “men” who have been chosen with random sampling method attended to the study voluntarily.In this investigation, “Free Time Obstacles” ,which has been developed by Gürbüz and Karaküçük to determine the factors that might obstruct the attendance of the participants to the recreational activities and evaluates the factors that might prevent the university students from attending to recreational activities, was used. LSS (Life Satisfaction Scale) ,which has been created by Diener and his colleagues (1985) and adapted to Turkish by Yetim(1993), was used to evaluate the life satisfaction of the participants.Percentage (%) and frequency (f) methods were used to determine the distributions personal information of the participants; Shapiro Wilks normality test was used to determine whether data have normal distribution or not and as a result of these, after it is understood that the data are appropriate to the conditions of non-parametric test; Mann- Whitney U and Kruskall Wallis tests were used to determine the significant differences; and Spearman Correlation Test was carried out to determine the relationship between Free Time Obstacles Scale and Life Satisfaction Scale.As a result; it is observed that there is no significant relationship between Free Time Obstacles Scale and Life Satisfaction Scale; there is no significant difference between Life Satisfaction and gender variance considering gender variance; according to the Free Time Obstacles, there is only significant difference at the time sub-dimension; according to the doing sport, there is only significant difference at the Lack of Interest among the Free Time Obstacles; according to the Life Satisfaction, there is significant difference because of the people that don’t participate to the sportive activities. While according to the wealth level, a significant difference was determined at Life Satisfaction level, it is was determined that there is no significant difference at Free Time Obstacles and wealth level. Also, it is determined that there is a significant difference between Life Satisfaction and having difficulty in taking advantage of free time; there is a significant difference between having difficulty in taking advantage of free time and Free Time Obstacles at facility-service and time sub-dimension.Extended English abstract is in the end of PDF (TURKISH) file. ÖzetÇalışmanın amacı üniversite öğrencilerin rekreatif etkinliklere katılımlarına engel teşkil eden faktörler ile katılımcıların yaşam doyumları arasındaki ilişkinin demografik değişkenler ile birlikte incelenmesidir. Bu amaç doğrultusunda tesadüfi örnekleme yöntemiyle seçilmiş olan 140 (%53.2) “Kadın” ve 123 (%46.8) “Erkek” toplam 263 üniversite öğrencisi çalışmaya gönüllü olarak katılmıştır.Araştırmada, katılımcıların rekreasyonel faaliyetlere katılımlarına engel teşkil edebilecek faktörlerin belirlenmesi için Gürbüz ve Karaküçük tarafından geliştirilen üniversite öğrencilerinin rekreasyonel etkinliklerine katılmalarına engel teşkil edebilecek unsurları değerlendiren “Boş Zaman Engelleri” kullanılmıştır. Katılımcıların yaşam doyumlarını ölçmek amacıyla ise Diener ve arkadaşları (1985) tarafından geliştirilen ve Yetim (1993) tarafından Türkçe’ye uyarlanan YDÖ (Yaşam Doyumu Ölçeği) kullanılmıştır.Katılımcıların kişisel bilgilerinin dağılımlarının belirlenmesi için yüzde (%) ve frekans (f) yöntemleri; verilerin normal bir dağılıma sahip olup olmadığının belirlenmesi için Shapiro Wilks normallik testi uygulanmış ve bunun neticesinde verilerin non parametrik test koşullarına uygun olduğunun anlaşılmasından sonra anlamlı farklılıkların belirlenmesi için Mann-Whitney U ve Kruskall Wallis testleri, Boş Zaman Engelleri Ölçeği ile Yaşam Doyumu Ölçeği arasındaki ilişkinin belirlenmesi için ise Spearman Korelasyon testi uygulanmıştır.Sonuç olarak; boş zaman engelleri ile yaşam doyumu arasında, cinsiyet değişkeni açısından bakıldığında yaşam doyumu ile cinsiyet değişkeni arasında anlamlı bir farklılık olmadığı tespit edilmiştir. Boş zaman engelleri açısından ise sadece zaman alt boyutunda anlamlı bir farklılık olduğu, spor yapma durumuna göre boş zaman engelleri arasında da sadece ilgi eksikliği boyutunda anlamlı bir farklılık olduğu saptanmış, yaşam doyumuna göre incelendiğinde ise sportif etkinliklere katılmayan kişilerden kaynaklı anlamlı bir farklılığın olduğu ortaya çıkmıştır. Refah düzeyi değişkenine göre incelendiğinde yaşam doyumu düzeyinde anlamlı bir farklılık saptanmasına karşın boş zaman engelleri açısından refah düzeyinde ise anlamlı bir farklılık olmadığı tespit edilmiştir. Ayrıca yaşam doyumu ile boş zamanları değerlendirme güçlüğü çekmek arasında anlamlı bir farklılık olduğu, boş zaman değerlendirme güçlüğü çekmek ile boş zaman engelleri arasında ise tesis-hizmet ve zaman alt boyutlarında anlamlı bir farklılık olduğu tespit edilmiştir.
The purpose of this research is to examine the leisure constraints and level of perceived freedom of university students according to different variables. 250 university students in total, 174 (69%) of whom are males and 78 (31%) of whom are females selected by random sampling have voluntarily attended the research study. A survey model has been used in the study. The sample of the study consists of students studying at Istanbul University's Faculty of Sports Sciences. In order to identify the leisure obstacles of the participants, the Obstacles of Leisure Scale, which was developed by Alexandris and Carroll (1997) and adopted into Turkish by Karaküçük and Gürbüz (2007); and in order to identify the level of perceived freedom of the participants, the Perceived Freedom in Leisure Scale, which was developed by Witt and Ellis (1985) and adopted into Turkish by Yerlisu Lapa and Ağyar (2011), were used along with a personal information form prepared by the researcher as a data collection tool in the research. Percent (%) and frequency methods have been utilized to identify the distribution of the personal information of the participants and the ShapiroWilks normality test has been applied to identify whether data had normal distribution. MannWhitney U and Kruskall Wallis tests have been applied to determine the significant differences after it was determined that the data were suitable to non-parametric test conditions. According to the gender variable, no significant difference (except Individual Psychology) has been identified in the sub-dimensions of the obstacles of the leisure scale and perceived freedom in leisure scale (p>0.05). While there is a significant difference in all sub-dimensions of the perceived freedom in leisure scale (p<0.05), no significant difference has been found in the sub-dimensions of the obstacles of the leisure time scale (p>0.05) according to age. In conclusion, it has been determined that while there are no differences between the leisure obstacles according to the gender of the participants, the level of perceived freedom increases as the age increases.
This study aimed to describe the relationships between leisure boredom, leisure satisfaction, and smartphone addictions among university students. The study sample consisted of 258 participants, 143 males and 115 females, studying at Istanbul University-Cerrahpaşa Faculty of Sports Sciences. The participants were selected using the purposeful sampling method. Data collection tools involved a personal information form, the "Leisure Boredom Scale (LBS)", the "Leisure Satisfaction Scale (LSS)" and "Smartphone Addiction Scale-Short Version (SAS-SV)". Independent t-Test results revealed a significant difference in SAS-SV by gender. The MANOVA results indicated a significant difference between the "Satisfaction" sub-dimension of LBS and the "Educational," "Social," "Physical," and "Relaxation" sub-dimensions of LSS by gender. A significant difference was found between LBS's "Satisfaction" sub-dimension and all sub-dimensions of LSS by income status. According to the ANOVA results, there was no significant relationship between the SAS-SV scores by income status of the participants. Besides, there was a negative and low-level correlation between age and the "Satisfaction" sub-dimension of LBS, the "Physical" and "Relaxation" sub-dimensions of LSS and SAS-SV. There was a negative and low correlation between "Boredom" of LBS and "Psychological," "Social," and "Relaxation" sub-dimensions of LSS, and there was a positive and low correlation between LBS and SAS-SV. Similarly, a positive and low-level relationship was determined between all sub-dimensions of LSS and SAS-SV. In this sense, it was concluded that the LBS, LSS, and SAS-SV scores differed according to the socio-demographic characteristics of the participants. As leisure boredom increased, leisure satisfaction decreased, and smartphone addiction increased. It was also found that as leisure satisfaction improved, smartphone addiction increased.
The aim of this study is to examine the perceptions of university students towards leisure and perceived freedom in leisure on the basis of different variables. To this end, a total of 250 university students in total, 174 (69%) of whom are males and 78 (31%) of whom are females selected by random sampling have voluntarily attended the research study. The sample of the study consists of students studying at Istanbul University's Faculty of Sports Sciences. The data collection instruments of the study include the personal information form developed by the researcher, as well as the Leisure Meanings Inventory which was developed by Esteve et al. (1999) and adapted into Turkish by Gürbüz et al. (2007) and aims to determine the leisure perceptions of the participants. The Perceived Freedom in Leisure Scale, which was developed by Witt and Ellis (1985) and adapted into Turkish by Yerlisu, Lapa and Ağyar (2011) was used to determine the participants' perceived freedom levels in leisure. Additionally, frequency methods have been utilized to identify the distribution of the personal information of the participants and the Shapiro-Wilks normality test has been applied to identify whether data had normal distribution. Mann-Whitney U and Kruskall Wallis tests have been applied to determine the significant differences after it was determined that the data were suitable to non-parametric test conditions. According to the gender variable, no significant difference has been identified in the sub-dimension of the perceived freedom in leisure scale (p>0.05). In the active-passive participation and goal orientation subdimensions in the leisure meanings inventory, the female participants were found to score more than male participants. Based on the age variable, there were no significant differences found in any sub dimension of the perceived freedom scale (p<0.05) or in the leisure meanings inventory (p>0.05). In conclusion, the perceived leisure levels of the female participants were higher than the male while it was also seen that as age increases, the perceived freedom levels in leisure increases as well.
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