Meta-analysis of factors affecting corruption control in Iran’s sports organizations

The aim of this study was to meta-analyze the factors controlling corruption in sports organizations in the country. The research method was descriptive and meta-analytical. The statistical population included 17 internal studies conducted in the field of corruption control factors in sports organizations in the period from 2006 to 2020. From the statistical population, 8 studies that met the criteria for entering meta-analysis were selected as a statistical sample through the census method. A total of 39 factors were extracted from the sample research and classified into six major categories: economic, organizational, cultural, rules and regulations, individual and other factors, and entered into the meta-analysis process. Hedges g index was used to calculate the effect size. Due to the heterogeneity in the meta-analysis, the results of the random effects model were considered. The average size of the combined effect in the random effects model for the factors affecting corruption in sports was 0.807, which is significant at the level of 0.001 and according to Cohen's classification, the size of the effect is considered large. Dual and Tweed method (0.8) also showed that there is no diffusion bias error. Finally, the results of meta-analysis for subgroups showed that economic factors, other factors (outsourcing and commitment) and organizational factors have the greatest impact on corruption in sports organizations, respectively and by increasing annual salaries and benefits commensurate with the inflation of society, hiring qualified and committed employees with clear employment criteria, most of the corruption can be controlled.