Prioritization of Factors affecting on the Development of Traditional Sports and Games
Subject Areas : Sport Sciences Quarterlyپیمان کاکاویسی 1 , shahab bahrami 2 , hossein eydi 3
1 - دانشجو دکتری دانشگاه ازاد
2 - استادیارگروه مدیریت ورزشی، واحد کرمانشاه ، دانشگاه آزاد اسلامی ، کرمانشاه ، ایران.
3 - استادیار مدیریت ورزشی، دانشگاه رازی، کرمانشاه
Keywords: Indigenous and local games, traditional games, ancient sports, Indigenous sports, traditional sports,
Abstract :
The purpose of this study was prioritization of factors affecting on the development of traditional sports and games based on the interpretive structural model. Regard to the nature of the research, the research method was mixed. The statistical population in the qualitative section included experts in the field of traditional sports and professors of sports management, which was interviewed with 15 experts using purposive sampling. The statistical population in the quantitative section included all managers and staff of the Ministry of Sports and Youth, provincial sports managers and managers of sports federations and boards and professors of sports management (1800 people), according to Morgan table, 288 people were selected as a statistical sample by stratified random sampling. In the section, questionnaires was distributed among 288 subjects by stratified sampling. The data collection tool in the present study was a semi-structured interview and a questionnaire extracted from the qualitative section. In order to analyze the data, coding in the qualitative section and structural equation method in the quantitative section were used. The qualitative findings of the study showed that 42 concept codes in the form of 8 main components are effective on the development of traditional sports and games by interpretive structural modeling which include financial resources, media, education, manpower, managerial, organizational cooperation, infrastructure and holding competitions, respectively. In the quantitative part, it was found that all eight main components of the research have a good fit, so the research model has a sufficient fit.
