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  nuoshin ahanchi  posted on Saturday, May 20, 2017 - 6:40 am
Hello
I am conducting the latent class growth mixture model for my study
.This study uses data from the longitudinal cohort. Data includes 4 different phases.Phase 1 has a span of (2003-2006) and is following at 3 subsequent phases.we aimed to identify different patterns of BMI I WANTto describe the shape of the longitudinal trajectory of BMI

WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE.
THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED
VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED
VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES.
CHECK THE RESULTS SECTION FOR MORE INFORMATION.
PROBLEM INVOLVING VARIABLE BMI3.


WARNING: THE LATENT VARIABLE COVARIANCE MATRIX (PSI) IS NOT POSITIVE
DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR A
LATENT VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO LATENT
VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO LATENT VARIABLES.
CHECK THE TECH4 OUTPUT FOR MORE INFORMATION.
PROBLEM INVOLVING VARIABLE Q.
 Linda K. Muthen posted on Saturday, May 20, 2017 - 6:45 am
Please send the output and your license number to support@statmodel.com.
  nuoshin ahanchi  posted on Saturday, May 20, 2017 - 6:45 am
my sintax

Title: bmi_growth.inp
Basic growth curve
Data: File is "plosemedicine_ONLYmplus.dat" ;


Analysis: Processors = 2;
Variable:
Names are
id age sex enter1 enter2 enter3 bmi_base bmi1 bmi2 bmi3;
Missing are all (-9999) ;
Usevariables are bmi_base bmi1 bmi2 bmi3 ;


Model: i s q| bmi_base@-3 bmi1@-2 bmi2@-1 bmi3@0;


Output:
Sampstat Mod(3.84);
Plot:
Type is Plot3;
Series = bmi_base bmi1 bmi2 bmi3(*);
  nuoshin ahanchi  posted on Saturday, May 20, 2017 - 6:51 am
Tank you
send email
please Guidance about included covariate(age)in my syntax.
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