Repeated Measures with Lagged DV PreviousNext
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 Lisa Vittorio posted on Wednesday, July 31, 2019 - 10:56 am
Hi,

I have repeated measures data (patients’ reports of symptoms at each therapy session), and I’m trying to model the within-person effect of the IV (amount of a specific therapeutic technique during each session) on next-session symptom change. I’m new to Mplus, so I’m not sure how to account for the lagged auto-regressive effect of the DV (symptoms at one session affecting symptoms at the next session). I only have data for the IV for 3 sessions.

I’ve been looking at Example 9.2 (two-level regression analysis) of the user guide as a template, but I’m not sure if I am adapting it correctly. I would like to run a main effect model, as well as moderation with a between-person variable.

Here is the code I've tried (_p indicates prior session):

USEVARIABLES ARE Patno Session S_bet_p S_win_p BDI_p BDI;
missing = .;

WITHIN = S_win_p;
BETWEEN = S_bet_p;
CLUSTER = patno;

DEFINE: CENTER S_win_p (GROUPMEAN);

ANALYSIS: TYPE = TWOLEVEL RANDOM;
MODEL:
%WITHIN%
s | BDI ON S_win_p;
%BETWEEN%
BDI s ON S_bet_p;
BDI WITH s;

Any help would be greatly appreciated. Thanks!
 Bengt O. Muthen posted on Wednesday, July 31, 2019 - 5:37 pm
What's your number of time points for the symptom outcome?
 Lisa Vittorio posted on Thursday, August 01, 2019 - 5:58 am
Thank you for your quick response! I have 5 time points for the outcome (sessions 1-5),and IV data for sessions 2-4.
 Lisa Vittorio posted on Monday, August 12, 2019 - 9:24 am
Also, this is the code I have tried with a moderator (TRS):

Within = S_win_p ;
Between = TRS ;
Cluster = patno ;

DEFINE: Center x (groupmean);
ANALYSIS: TYPE = TWOLEVEL RANDOM ;

MODEL: %WITHIN%
s | BDI ON S_win_p;
BDI ON BDI_p ;

%BETWEEN%
BDI ON TRS;
s ON TRS;
BDI WITH s;

Thanks again!
 Bengt O. Muthen posted on Monday, August 12, 2019 - 5:35 pm
Looks fine but X is not in the model.
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