RMLCA MPLUS Code

MPLUS Input Code for a Conditional RMLCA Model (model with covariates) with a Dichotomous Distal Outcome Annotations appear in green. Text that appears in blue contains information specific to our study (i.e., our variable names). This input file specifies a 5-class solution with covariates (FTND score, number of past quit attempts, longest number of days abstinent, quitting self-efficacy, baseline sleep disturbance, racial minority status, 5 treatment contrast variables) and a distal outcome (6-month point-prevalence abstinence). The data file for this code needs to be a wide file in csv format, in which the repeated measures appear as separate columns rather than as separate rows in the data file. DATA: FILE IS filename.csv; VARIABLE: NAMES ARE ID Smok1-Smok27 ftndtot lnquit20 daysabp success wswsslp minority  txVsPBO PatLozVsTx PatBupLozVSBup_Loz PatVsBupLoz BupVsLoz  Zftndtot Zsuccess Zlnquit20 Zdaysabp Zwswsleep ppab6mo; USEVARIABLES ARE smok1-smok27 minority Zwswsleep Zftndtot Zsuccess Zlnquit20 Zdaysabp txVsPBO PatLozVsTx PatBupLozVSBup_Loz PatVsBupLoz BupVsLoz; !DEFINE CATEGORICAL INDICATORS CATEGORICAL ARE smok1-smok27; !DEFINE # OF CLASSES CLASSES are C(5); !INCLUDE DISTAL OUTCOME WITH DE3STEP COMMAND FOR CATEGORICAL DISTAL OUTCOMES AUXILIARY ARE ppab6mo(de3step); !DEFINE MISSING DATA CODE MISSING ARE ALL(999); ANALYSIS: !ESTIMATE A MIXTURE MODEL TYPE = MIXTURE; !DEFINE MULTIPLE RANDOM STARTS STARTS = 1000 500; MODEL: %OVERALL% !REGRESS CLASS ON COVARIATES C on minority txVsPBO PatLozVsTx PatBupLozVSBup_Loz PatVsBupLoz BupVsLoz  Zftndtot Zsuccess Zlnquit20 Zdaysabp Zwswsleep; %C#1% [smok1$1-smok27$1*]; %C#2% [smok1$1-smok27$1*]; %C#3% [smok1$1-smok27$1*]; %C#4% [smok1$1-smok27$1*]; %C#5% [smok1$1-smok27$1*]; OUTPUT: !TECH11 PROVIDES LMR-LRT (Lo-Mendell-Rubin Likelihood Ratio Test) and TECH14 PROVIDES BLRT (Bootstrap Likelihood Ratio Test) SAMPSTAT STANDARDIZED TECH1 TECH4 TECH11 TECH14;