Meta-analysis of the relationship between service quality and customer satisfactionin sports organizations

One of the important approaches in data analysis is to help solve theoretical and practical problems based on the findings of other researchers. Meta-analysis is a method that uses the same and opposite results of other people's research and presents the extract of existing research on a specific topic based on the homogeneity or heterogeneity of scientific findings and based on valid and systematic scientific methods.In this research, 16 research articles on the relationship between service quality and customer satisfaction were used and meta-analysis of data in software (CMA2) was performed. According to Cochran Q test (Sig = 0.003, Sig = 683 / 579Q), it can be said that the present studies in meta-analysis are heterogeneous and therefore the random effects model (not fixed effects) should be used to interpret the combined effect size. The size of the random (combined) effect of the relationship between service quality and customer satisfaction is equal to 0.71 and with 0.95 confidence can be said to be in the range of 0.606 to 0.776. Interpretation of effect size According to Cohen's criteria, the effect size is large. Also, according to (Sig = 0.001, Zig = 10.264), the size of the random effect is significant.