Hi there,
I am interested in empirically validating a theory through Structural Equation Modeling. This theory suggests that the relationship between X and Y is mediated by a sequence of M1, M2, and M3. In my study, X is a multi-categorical variable that has three levels (e.g., X1 = close, X2 = distant, and X3 = none). My study will also have one covariate, CV, that is expected to be negatively related to Y (i.e., when CV increases, Y decreases).
The alternative to having X as a multi-categorical variable would have been to utilise a continuous moderator, W. In the alternative model, W would have moderated the relationship between X and M1, as well as X and Y.
With this in mind, here are my questions:
Thank you for your time and input!
Warm regards,
George
I think like Timo the difference is that the Process only evidences the route analysis so in complex models like the one that proposes not all the coefficients are significant, while the SEM analysis you can the general structure of the theoretical model despite not complying with all the proposed route values. Therefore you can infer "the forest beyond the trees" considering as latent variables that control the measurement error of the model and also perform a multigroup analysis and compare several samples evaluated in a model.
Hi again,
Thank you very much for your replies. They are quite insightful in their own right.
Here are a few more:
Apologies if I'm asking too many questions. However, I'm trying to get a better picture on how to potentially move forward.
Again, thank you very much for your contributions. :)
Warm regards,
George
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