Dear All, Greeting, Am PhD. student and I'm using SEM model for my thesis, am facing problems in doing factor analysis for independent, dependent, and mediating variables. To make my question more clear, am using three independent latent variables namely price satisfaction, social satisfaction and collaborative communication, and am using trust as a dependent variable and mediator between those explanatory variables and producer loyalty. The problem is that when I run all variables together, I faced discriminant validity problem due to the correlation among the variables. specially between trust and loyalty there is high correlation. when I tried to run trust and loyalty independently the model does not rotate so that I could't found the value for factor loading. What should I do please? Please help me in finding the right track?
You can perform HTMT discriminant analysis to determine what is also conceptually and statistically different.
Article A New Criterion for Assessing Discriminant Validity in Varia...
Cristian Ramos-Vera , thank you I will try it. Sorry I started to read the material you shared me however, I think the method is work for Variance based SEM while I use Co-variance based SE. Do you have any further suggestion please?
The aritucle can be guided to enhance the analysis through this excel where it is calculated through the factorial loads between the items of the two mentioned variables.
If only the correlations of the items and the factor loads for the AVE are needed.
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