My study has the following details:

N=130

3 Conditions

5 Timepoints

6 Variables (measured at every time point)

Analysing using Little's MCAR test revealed that my data is missing completely at random (MCAR). I am unsure whether to deal with missing data by performing intention-to-treat (ITT) by Multiple Imputation (MI) or Expectation-Maximization (EM).

My main research question will be looking at how Variable A impacts Variable B and secondary questions will be looking at the mechanisms of change by doing several meditation models (i.e. Variables C, D, E).