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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 …
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 …