Dear Everyone:

Multilevel models, random intercept/effects models, hierarchical models, and mixed models are all the same thing. Any differentiation of them is nominalism.

Also, growth models are just special cases of the above. Or a special case of structural equation models, but since all regression methods are special cases of structural equation models, that's not so exciting.

If you disagree, you can try to prove me wrong. But I doubt you can.

Sincerely,
Me

#sociodon

All the names for hierarchical and multilevel modeling | Statistical Modeling, Causal Inference, and Social Science