For my master thesis I'm making a structural equation model. However, I do not have much experience with this. So here are some different questions.
I read that one of the assumptions important for SEM is: Linearity: A linear relationship is assumed between endogenous and exogenous variables. However, I see in other papers that this is only considered for the sum score of a latent variable. But not for 'normal/other' variables, such as age. Does this have to be done?
In addition, I never intended to make a sum score of my variables, is this always the case?
I only have 86 respondents, because I have a very specific population and because of time limitation. Does this mean that I can only have 86/10 = 8 variables in total in my SEM model? Or does this mean that I may have 5 variables per latent factor? I find conflicting information.
Is it possible to include 'independent' variables in a SEM model, such as car ownership. So not link this to a latent variable, or is that not possible?
Thank you in advance!