Qualitative Modeling of Basketball Sports Talent Identification on the Logic of Hidden Content Analysis

The present study was conducted with the aim of qualitative modeling of basketball sports talent identification on the logic of hidden content analysis. The research method to qualitatively and centrally apply to centralization can be the foundation. To collect the data, a semi-structured interview method was used. The statistical population of the study consisted of all professors and specialists in the field of sports management and talent identification, as well as executive managers in the field of talent identification in the Ministry of Sports and Youth and the Basketball Federation of Iran. The sampling method was targeted and snowball. For data analysis, the initial, axial and selective coding process was used using MAXQDA18 software. The results showed that in data analysis using open coding technique, 452 initial concepts were identified. By categorizing these concepts, 19 concepts regarding the definition of talent development in Iranian basketball, causal factors (5 categories), background conditions O (5 categories), there are intervening conditions (5 categories) in the realization of the talent identification system in Iranian basketball. Also, 8 strategies (motivational, technical, legal, managerial, strategic, equipment, structural and educational strategies) will be identified and 3 consequences (organizational, social and ideal consequences) will be identified. Based on the paradigm model of improving the talent identification system in Iranian basketball and paying special attention to the categories and indicators mentioned, it is possible to help the development of the country's basketball field.