جستجوی مقالات مرتبط با کلیدواژه "forecasting" در نشریات گروه "تربیت بدنی"

The aim of this research was Investigating and Prioritizing Factors Affecting Cyberloafing Behavior among Youth and Sport Office Employees in Yazd Province using Artificial Neural Network Technique. This study was an applied research in terms of purpose and a descriptive- survey research in terms of method. The statistical population was the employees of youth and sport office in Yazd province. The statistical sample was selected using simple random sampling method. For gathering data about dependent variable, 22-item cyberloafing behavior scale by Stoddart (2016) was used. Reliability of scale was confirmed by Cronbach’s Alfa and validity of the scale was confirmed by content analysis. Data were analyzed using SPSS software version 24. For analysis of data including 23 independent variables and one dependent variable, two types of neural network including MLP and RBF were designed and implemented. Correct percent of cyberloafing prediction in the training, testing and validation data for the MLP neural network was 87.8, 75.0 and 72.7, respectively, and 83.6, 81.8 and 91.7 for the RBF neural network, respectively. The area under the rock for MLP and RBF networks was 0.611 and 0.677 respectively. Comparison of two MLP and RBF neural networks based on rock curve and prediction Correct percent showed that RBF neural network is more effective in forecasting cyberloafing, and the variables Proximity of supervisor, teaching master students, age and locus of control had the greatest impact on cyberloafing.

Sport in the community is the institutional form of the educational process for a healthy and active life. The purpose of this study was to explore the future of health-oriented sport education in Iran and to formulate its scenarios for the next 20 years and present a strategy. In this study, the foresight approach was used with the scriptwriting approach based on the intuitive logic method. First, the specific project boundary, then the main development factors and blind spots were identified with 360 degree feedback. Subsequently, two key uncertainties were formulated as the basis of scenario design. In the next step, a detailed definition of the four possible scenarios was provided. The fifth step was a generic strategy based on the scenarios and the last step involved monitoring and controlling the strategies. The participants of this study included 28 internal and external stakeholders of Iranian health-based sport training that were selected based on purposeful sampling. Data were gathered through interviews and open-ended questionnaires. Based on the findings, the analysis of 26 key factors ultimately led to the production of two key uncertainties: "Creating demand for new technology based sports" and "optimal". Physical Fitness with Institutionalization of Sport ", which became the basis of four main scenarios of health - based sport education in Iran. In general, it should be acknowledged that in order to develop Iran-based sport training, separate policies in different parts of health-based sport training should be formulated on the basis of systematically sustained physical activity.

This research was conducted with the aim of developing a model of factors affecting the commercialization of sports.

The research method was performed qualitatively using a systematic design of data-based theory. In order to gather information, in-depth and semi-structured interviews were used and information was analyzed by Gliseir paradigm. The statistical population of the study included professors and activists in the field of sports economics. Targeted theoretical techniques and snowballs were selected. Due to the limitations of the community, the sample size will be equal to the community size. Some scientists consider 10 to 15 people, if their scientific and experimental background is homogeneous, to be sufficient to form a group of experts. In this study, 14 people were interviewed. And from the interview 11 later repetition was observed in the received data and in interview 13 it was saturated. The analysis of qualitative data encoding method three open, axial and selective used. Reliability and validity were confirmed through the percentage of agreement within the subject and the approval of the statistical group and the interviewees.

Based on the findings, The research findings showed that various factors such as cultural factors, organizational factors, social factors, legal factors and structural factors affect the commercialization of sports.

In general, Therefore, in the policies of managers of sports organizations, these factors should be given special attention.

The increasing spread of betting on the Internet and the creation of many individual and social problems have caused concerns in the community for people involved in this factor. Therefore, the purpose of this study was to study the factors affecting the tendency of people to bet online in sports and provide a solution. The method of the present study was applied in terms of type, correlation and purpose, and in the qualitative method of interview with open coding method and in quantitative method by questionnaire. The statistical population of the qualitative section was 12 elites by snowball method and 367 people in the quantitative method. According to Cochran's formula, the number of statistical samples included 188 relevant specialists and experts in the field of religious, social, sports and economics in 2019. Also, the sampling method was simple random field and field sampling. In this study, a researcher-made questionnaire (sports betting) was used to evaluate the variables and its content and face validity were confirmed by 12 elites and its reliability was obtained by using Cronbach's alpha test of 0.83. SPSS software and structural equation modeling in PLS software were used for data analysis.

The results showed that according to t values ​​greater than 1.96, the most important components in the tendency of people to bet online were economic need with a correlation of 0.85 and the impact of environment and society with a correlation of 0.82. Also, more monitoring of Internet sites with 0.82 correlation was identified as the most important factor. According to the research results, economic needs and environmental impacts are the most important factors in the intellectual orientation of young people towards generating income through betting sites, and the weakness of the country regarding these sites is low monitoring.