Identification of Factors Influencing the Development of Iran Police Sports

Police officers can increase their physical, mental, and physical fitness to overcome difficult tasks. A review of the studies conducted in this area can reveal weaknesses and strengths and necessitates highlighting the need to change the policy approach in this area. The research method was mixed, ie qualitative and quantitative. In the qualitative section, a group of 20 experts from the field was interviewed and the identified factors of the qualitative section were measured in a quantitative section. The quantitative part of the research was a descriptive and correlational type, which in terms of its purpose was field-based. For the measuring instruments, a researcher-made questionnaire with 7-value Likert scale was used. The statistical population of this study is the managers and command and control departments, professors, trainers and sports experts of Iran police, and sports experts who were familiar with the implementation of research projects in the field of sports management in military and law enforcement environments. 220 questionnaires were distributed, and the final 196 questionnaires were analyzed. The content validity of the questionnaire was based on Lavosh's validation (CVR = 0.85) and reliability of the questionnaire was based on the Cronbach's alpha coefficient (α = 0.82) which were analyzed using exploratory factor analysis and confirmatory factor analysis. Findings and According to the results, the KMO index was 0.746, indicating the adequacy of the sample size. Using the exploratory factor analysis, seven main components including human resources, management factors, structural factors, economic factors, facilities and infrastructure, cultural and social factors, and individual factors and 38 effective factors on the development of Iran police sports, were identified after factor analysis. Then the number of items was reduced to 37. In total, the predictive power of the development model of Iran police was 70.288% based on the total percentage of aggregation factor variance.