The Relationship between Free Time Satisfaction and Stress Levels of Elite-Level Student-Wrestlers

Yaşartürk, Fatih; Akyüz, Hayri; Karataş, İsmail; Türkmen, Mutlu

doi:10.3390/educsci8030133

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…In this sense, leisure satisfaction levels did not differ by being single or married. In light of the findings, the findings of Ngai (2005), Koç and Er (2020), and Yaşartürk et al (2018) were in line with the results of the current study. It can be suggested that marital status is not an influential variable in determining leisure satisfaction.…”

Section: Discussionsupporting

confidence: 91%

The Relationships Between Leisure Satisfaction, Job Performance, and Life Satisfaction: A Sample of Private Sector Employees in Turkey

Serdar

Demirel²,

Ayhan

2021

International Journal of Recreation and Sports Science

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This study aimed to describe the relationships between leisure satisfaction, job performance, and life satisfaction among private-sector employees. The study sample consisted of 347 employees, 158 males, and 189 females, working in a private company in Istanbul. The participants were selected using a purposeful sampling method. The data collection tools included the "Leisure Satisfaction Scale"; the "Job Performance Scale", and "Life Satisfaction Scale". The data were analyzed using independent t-test, ANOVA, MANOVA, and Pearson Correlation analysis. The analysis results showed no significant difference between the Life-SS and Leisure-SS scores by gender, but there was a difference in the JPS scores. No significant difference was measured in any scales by marital status. There was a significant statistically meaningful difference between the Life-SS and JPS scores by working types, but no difference in the Leisure-SS scores. There was a difference between the Life-SS and JPS scores; the difference in the Leisure-SS scores was not significant. There was a positive and low-level relationship between JPS and Life-SS. Similarly, a positive and low-level relationship was found between the "Psychological," "Educational" and "Social" sub-dimensions of Leisure-SS and Life-SS. However, there was no relationship between the sub-dimensions of JPS and Leisure-SS. In conclusion, there were meaningful differences in all scale scores by specific socio-demographic characteristics; there was a positive correlation between the "Psychological," "Educational" and "Social" sub-dimensions of Leisure-SS and the Life-SS, and that there was no relationship between Leisure-SS, Life-SS, and JPS. As a result, it can be said that as individuals' job performance and leisure time satisfaction increase, their life satisfaction also increases.

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Section: Discussionsupporting

confidence: 91%

The Relationships Between Leisure Satisfaction, Job Performance, and Life Satisfaction: A Sample of Private Sector Employees in Turkey

Serdar

Demirel²,

Ayhan

2021

International Journal of Recreation and Sports Science

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“…Similarly, there are also studies indicating that men have higher academic self-efficacy levels than women (Durdukoca, 2010;Vurucu, 2010). However, there are also studies in the literature that did not find significant differences between male and female students (Doğaner, 2017;Kavrayıcı & Bayrak, 2016;Kılıç & Öncü, 2014;Özsüer, 2011;Uysal, 2013;Ünlü & Kalemoğlu, 2011;Yaşartürk et al, 2018). This shows that the studies in the literature show different results and that the female students in our sample group had higher self-confidence in their courses or academic studies, and it can be concluded that women, in the social conditions they live in, are more effective than males in learning and in applying their acquisitions in real life in terms of the social dimension.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Relationship Between the Academic Self-Efficacy and Leisure Satisfaction Levels of University Students

Yaşartürk

2019

JETS

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The aim of this study is to analyze the academic self-efficacy and leisure satisfaction levels of university students according to some variables and to determine the relationship between them. 1053 (642 male and 411 female) students from the Physical Education and Sports College of Bartın University participated in the study. A personal information form prepared by the researchers, the "Academic Self-Efficacy Scale" (ASES) developed by Owen & Froman (1988) and adapted to Turkish by Ekici (2012) and the "Leisure Satisfaction Scale (LSS)" developed by Beard & Ragheb (1980) and adapted to Turkish by Gökçe & Orhan (2011) were used as data collection tools. Descriptive statistical methods, the t-Test, ANOVA and Pearson Correlation tests were used in the analysis of the data. In the findings of the study, it was found that there was a significant difference between the "Social status", "Cognitive Practices", "Technical Skills" and LSS "Social" subscales in terms of the "gender" variable (p˂0.05), and the result was in favor of the female students. In the correlation test results, it was found that there was a significant relationship in the ASES subscale "Technical Skills" in terms of the "age" variable (p<0.05), and the ability to perform technical skills increased as age increased. In addition, a significant relation was found between the LSS "social" subscale and the "Family Income" variable (p<0.05). Consequently, no significant relationship was found between ASES and LSS subscales, while a significant relation was found between the age and family income variables. The reason for this can be considered that as the ages of university students increase, their orientation towards technical skills and their academic development is affected. In addition, it can be considered as the income level of university students increase, their activities such as socialization and participation in social activities are affected in a positive way and that consequently they get satisfaction.

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“…The first is to apply a Light Gradient Boosting Machine (LightGBM) model and the SHapley Additive exPlanation (SHAP) approach based on game theory to analyze the factors influencing leisure time from the standpoint of the nonlinear relationship. The extant literature is primarily based on linear models [14] and lacks the exploration of nonlinear relationships. Second, we conduct thorough data analysis on primary survey data collected in 2011, 2016, and 2021, while most of the previous studies used secondary data.…”

Section: Introductionmentioning

confidence: 99%

“…Second, we conduct thorough data analysis on primary survey data collected in 2011, 2016, and 2021, while most of the previous studies used secondary data. Third, as far as we know, this paper is the first to study the changes in leisure time based on time allocation, demographics, occupation, and family characteristics, as compared to previous research that explored the correlation between a specific factor and leisure time [3,14,15]. Last but not least, based on the conclusions of this paper, we discuss feasible measures to increase and make full use of personal leisure time from three aspects: government policy system, market product supply, and personal leisure demand.…”

Section: Introductionmentioning

confidence: 99%

Leisure Time Prediction and Influencing Factors Analysis Based on LightGBM and SHAP

Wang

Jiang

2023

Mathematics

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Leisure time is crucial for personal development and leisure consumption. Accurate prediction of leisure time and analysis of its influencing factors creates a benefit by increasing personal leisure time. We predict leisure time and analyze its key influencing factors according to survey data of Beijing residents’ time allocation in 2011, 2016, and 2021, with an effective sample size of 3356. A Light Gradient Boosting Machine (LightGBM) model is utilized to classify and predict leisure time, and the SHapley Additive exPlanation (SHAP) approach is utilized to conduct feature importance analysis and influence mechanism analysis of influencing factors from four perspectives: time allocation, demographics, occupation, and family characteristics. The results verify that LightGBM effectively predicts personal leisure time, with the test set’s accuracy, recall, and F1 values being 0.85 and the AUC value reaching 0.91. The results of SHAP highlight that work/study time within the system is the main constraint on leisure time. Demographic factors, such as gender and age, are also of great significance for leisure time. Occupational and family heterogeneity exist in leisure time as well. The results contribute to the government improving the public holiday system, companies designing personalized leisure products for users with different leisure characteristics, and residents understanding and independently increasing their leisure time.

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The Relationship between Free Time Satisfaction and Stress Levels of Elite-Level Student-Wrestlers

Cited by 4 publications

References 9 publications

The Relationships Between Leisure Satisfaction, Job Performance, and Life Satisfaction: A Sample of Private Sector Employees in Turkey

The Relationships Between Leisure Satisfaction, Job Performance, and Life Satisfaction: A Sample of Private Sector Employees in Turkey

Analysis of the Relationship Between the Academic Self-Efficacy and Leisure Satisfaction Levels of University Students

Leisure Time Prediction and Influencing Factors Analysis Based on LightGBM and SHAP

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