Hi everyone,

Background-

I am trying to perform a mediation analysis, in which the Exposure (level 2), mediator (level 1), and Outcome (level 2).

My dataset had missing values, but I was able to impute this nested data using the "MICE" package in R.

The exposure is a latent variable (based on 7 observed variables).

Issues-

  • The best method to perform a 2-1-2 multilevel data mediation analysis?
  • Since I have a latent variable, it seems that SEM, maybe a better method. But I open to other suggestions too.
  • Any advice on inserting imputed data in the SEM?
  • Any suggestions will be appreciable?

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