Hi - I am exploring the new Mplus capabilities for time series data following version 8 - but I am struggling slightly to understand how I specify some models.
So to help me understand, I have the following typical example of something I am trying to do - and was hoping someone could advise me how to specify it in mplus 8.
I have a data set where I have measured positive affect and negative affect in individuals daily over 18 days (PA1-PA18 and NA1-NA18). I expect these to have some autocorrelation and for these factors to be associated with each other. I am particularly interested in whether positive and negative affect over the measured period predicts two outcomes measured at a single time point after the completion of the positive and negative affect measures. One outcome is continuous (vac_con), and one is binary (vac_bin). They do not necessarily need to be modelled together - but I presume specifying may be different between binary and continuous outcomes.
Is a two-level approach now suitable for this kind of data, with the repeated measures at level one and outcome at level 2, and if so how would one specify the above?