The study used a combination of two methods, structural equation modeling and causal steps, to understand the role of a mediating variable. They first developed a model and tested its validity and reliability. Then, they analyzed the data using statistical software and made adjustments to the model. Finally, they used the causal steps method to evaluate the mediating variable. This integrated approach helps validate the model and its components, and allows for modifications to be made for a better understanding of the relationships between variables.