I'm struggling to find an appropriate way to analyse the model attached with the given data situation (see below). I would appreciate to hear some of your ideas on how to tackle this (and, if available, would appreciate references to work testing similar models).
Given situation: Daily study with:
n = 500+ t = 30 daily assessments - however, not every participant responded to all 30 daily assessments
I would like to test (dark arrows) - reciprocal cross lagged links between Variable A & B - day-specific moderators C and D
I want to allow for (grey arrows) - autoregressive effects of A and B - correlations from A & B at the same point in time
Software that I considered using: R, Mplus, SPSS
I was thinking about RI-CLPM, DSEM, Multilevel modelling - but there all have their disadvantages.
My preferred way of analysis (DSEM in Mplus) unfortunately does not allow to test for time-varying Level 1 moderation.
Anyone having any other solutions how to test this model? Looking for any techniques that I might have overseen so far.