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Öğe Bireyleri rekreasyonel amaçlı egzersize motive eden faktörlerin incelenmesi(2019) Çuhadar, Abdullah; Er, Yusuf; Demirel, Mehmet; Harmandar Demirel, DuyguÇalışmanın amacı bireyleri rekreasyonel amaçlı egzersize motive eden faktörlerin incelenmesidir. Örneklem grubu uygun örnekleme yöntemi kullanılarak Konya da faaliyet gösteren fitness merkezi üyelerinden gönüllüük esasına dayalı olarak belirlenmiştir. Çalışmada 214 kadın ve 294 erkek katılımcı yer almaktadır. Araştırmada; Rogers ve Morris (2003) tarafından geliştirilen, Gürbüz ve ark. (2006) tarafından Türkçe geçerliliği ve güvenirliliği yapılan Rekreasyonel Egzersiz Güdüleme Ölçeği (Recreational Exercise Motivation Measure, REMM) kullanılmıştır. Verilerin analizinde katılımcıların kişisel bilgilerinin dağılımlarını belirlemek için yüzde ve frekans tanımlayıcı istatistik yöntemleri, verilerin normal dağılım gösterip göstermediğini belirlemek için verilerin çarpıklık ve basıklık değerleri kontrol edilmiştir. Ayrıca t-testi ve anova testi analizi yöntemleri kullanılmıştır (? 0.05). Bulgulara göre katılımcıların cinsiyet, yaş ve eğitim durumlarına gore bazı alt boyutlarda anlamlı farklılıklar olduğu tespit edilmiştir. Çalışmanın sınırlılıkları ve gelecek çalışmalara yönelik değerlendirmeler bu anlamda tartışılmıştır.Öğe Examination of the Relationship between the University Students' Course-Leisure Conflict and Curiosity(Lahore Medical & Dental Coll, 2021) Er, Yusuf; Cuhadar, Abdullah; Demirel, Mehmet; Kaya, Alper; Aksu, Hasan SuatBackground: Improving learning and instilling an investigative personality in the student is also one of the main elements of education Therefore, a relationship has been established between curiosity and inquisitiveness, and it can be seen that at the root of this relationship, inquisitiveness plays a differentiating role in the learning of both young people and children. Aim: This study examines the relationship between university students' course-leisure conflict and curiosity levels based on different variables. Methods: The sample group was determined through convenience sampling and consists of 764 university students, including 406 female and 358 male participants. Results: In the study, Curiosity Scale and Lesson Leisure Conflict Scale were used as data collection tools. In the analysis of the data obtained in the study, percentage and frequency were used to determine the distribution of the personal information of the participants, and the values of the data were checked with the Kolmogorov Smirnov test and the Shapiro test to determine whether the data showed a normal distribution. As a result, it was determined that the data did not have a normal distribution and thus showed a Non-Parametric distribution. Therefore, apart from descriptive statistical models, Mann Whitney U, Kruskal Wallis test, and correlation analysis methods were used in the statistical analysis of the data. Conclusion: According to the findings, there was a significant difference in the variables of Gender, Age, and Level of Welfare of the curiosity scale of the participants, and a significant difference was found only according to the Level of Welfare variable in the course-leisure conflict scale. A significant positive correlation was found between the participants' curiosity levels and course-leisure conflict scores. Result: It was concluded that the curiosity levels of the participants and the course-leisure conflict scale differed according to some variables, and the curiosity levels of the participants affected the course-leisure conflicts.Öğe Investigation of Leisure Management Skills and Leisure Boredom in University Students in Terms of Different Variables(Int Journal Applied Exercise Physiology, 2020) Er, Yusuf; Demirel, Mehmet; Cuhadar, AbdullahThe aim of the study is to examine leisure time skills and leisure problems of university students in terms of different variables. The sample group of the study consists of a total of 545 university students, 335 women (61.5%) and 210 men (38.5%), via the convenience sampling method and on a voluntary basis. The Free Time Management Scale (BZYO) developed by Wang, Kao, Huan and Wu (2011) and adapted into Turkish by Akgul and Karakucuk (2015) and The Leisure Boredom Scale developed by Iso-Ahola and Weissinger (1990) to determine the recreational activities of the participants and their boredom levels and translated into Turkish by Soylu and Siyez (2014) were used in the study. In the analysis of the data, descriptive statistical methods such as percentage and frequency were applied to determine the distribution of the personal information of the participants, and the skewness and kurtosis values of the data were checked to determine whether the data showed a normal distribution and the data were found to comply with the parametric test conditions. Accordingly, besides descriptive statistical models, t-test, Anova, Tukey HSD multiple comparison test, which is applied to determine from which groups the significant difference arises, and correlation test analysis methods were used to test the relationship between leisure time management and boredom (a = 0.05). As a result, it was determined that there was a significant difference in the scheduling sub-dimension according to gender in the leisure time management, while there was a significant difference between leisure time boredom and leisure boredom in terms of age.Öğe The Relationship between Future Time Perception and Optimism: An Example of Physical Education and Sports School Students(Int Journal Applied Exercise Physiology, 2020) Demirel, Duygu Harmandar; Serdar, Emrah; Demirel, MehmetThe aim of this study is to determine the relationship between perception of the future time and optimism levels of physical education and sports school students. The study group, non-probability sampling method chosen by Dumlupmar University for school of physical education and sports and studying in the average age was 22,49 +/- 2,76, totally 405 university students participated in the study voluntarily. In the study, Future Time Perception Scale developed by Husman and Shell (32) and adapted by Avc1 and Erden (57) and Optimism Scale developed by Balci and Yilmaz (22) were used. Percentage and frequency methods for determining the distribution of participants' personal information; Shapiro Wilks normality test was applied to determine whether the data had normal distribution and as a result of the analysis of the data after it was understood that the data were in accordance with the parametric test conditions; Independent T test, MANOVA, ANOVA and Pearson Correlation tests were used. According to the analysis results; significant differences were found in both participants' perception of future time and optimism levels according to Gender and Satisfaction with The Department They Read There was a significant difference between the participants' perception of future time according to Department variables and optimism levels according to Age variable. A positive and significant relationship was found between the participants' perception of future time and their optimism levels. As a result, it was found that the participants' perception of future time and their optimism levels differed significantly according to some demographic variables.Öğe The Relationship between Smartphone Use and Happiness among University Students(Int Journal Applied Exercise Physiology, 2020) Kaya, Alper; Demirel, Mehmet; Tukel, YalcinThe aim of the study is to analyze the relationship between smartphone addiction and happiness among university students with regard to various factors. The sample group of the study consisted of voluntary students studying at various faculties and departments of universities by using the appropriate sampling method. A total of 690 university students, 460 female (66.7%) and 230 male (33.3%), participated in the study. The Smartphone Addiction Scale Short Form (SPAS-SF)developed by Kwon et al. (2013) and adapted into Turkish and validated by Noyan et al. (2015) was used to measure the smartphone addiction levels of participants, and the Oxford Happiness Questionnaire Short Formdeveloped by Hills and Argyle (2002) and adapted into Turkish by Dogan and Cotok (2006) was used to identify the happiness level of participants. In data analysis, descriptive statistical methods such as percentage and frequency were used to identify the distribution of the personal information of participants, coefficients of kurtosis and skewness of the data were identified to see whether data showed normal distribution, and data were found to be fit for parametric test conditions. T-test and ANOVA tests were performed in addition to descriptive statistics methods, Tukey HSD Multiple Comparison Test was performed to identify from which groups the significant difference stems from and the correlation test to test the relationship between happiness level and smartphone addiction (alpha = 0.05). As a result, it was found that there was no significant relationship between happiness levels and smartphone addiction of participants by sex and age variables. However, a significant difference was found in smartphone use by school year variable and in happiness level by level of welfare. A positive significant relationship was found between the happiness levels of participants and smartphone addiction.Öğe The Relationship between the Leisure Boredom, Leisure Satisfaction, and Smartphone Addiction: A Study on University Students(Int Soc Technology Education & Science-Istes, 2022) Serdar, Emrah; Demirel, Mehmet; Demirel, Duygu HarmandarThis 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-Cerrahpasa 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 SASSV 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 subdimensions 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.
