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Structural Equation Modeling is a multivariate technique. It is based on formulating a set of linear relations between variables, some of which may be latent, and estimating the whole system, typically by analyzing the covariance matrix of the observed variables.

0 votes

Can I perform multigroup SEM analysis (7 construct, 28 indicators) with only 160 sample?

It's certainly tricky. You could consider: Bayesian Structural Equation Modelling using informative priors Parcelling your indicators in order to decrease the model complexity Performing a power ana …
Huub Hoofs's user avatar
7 votes

Is Bayesian structural equation modelling better than maximum likelihood with smaller sample...

This question is very broad. It first of all really depends on the model you want to test, in which a higher complexity would decrease the validity of an ML-SEM model (but probably also of a BSEM mode …
Huub Hoofs's user avatar