Waring and problem with the number o... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
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 Solah Lee posted on Friday, July 10, 2020 - 10:16 pm
1. As far as I know, the correlation between variables is not essential for LPA analysis, so is it okay for me to ignore below message(I am doing LPA analysis)?
----------------------------------------------------------------------------
*** WARNING in MODEL command
All variables are uncorrelated with all other variables within class.
Check that this is what is intended.
1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
----------------------------------------------------------------------------

2. The ‘term’ variable is answered only when the participant answered yes(coded as no. 1) to ‘relation’ variable. That is, if the participant answered no(coded as no. 2) to ‘relation’ variable, ‘term’ variable is left blank.

LPA analysis fails to load all targets when using this .dat file(there are 633 participants but the number of observation is only 397).
Do I need to change the coding of the blank(of ‘term’ variable) to other number(such as 0) and create the .dat file again to fix this problem?
 Bengt O. Muthen posted on Sunday, July 12, 2020 - 4:46 pm
1. Yes.

2. You need to give a missing data flag such as 999 instead of blank.
 Solah Lee posted on Monday, July 13, 2020 - 4:43 am
Hello!
Thank you for you answer.

I wonder if adding
VARIABLE: MISSING = ALL(999);

this syntax would fix the problem for Q. 2.

Thank you!
 Bengt O. Muthen posted on Monday, July 13, 2020 - 4:41 pm
Yes, if 999 is the missing data flag you chose in your data.
 Solah Lee posted on Tuesday, July 14, 2020 - 11:09 pm
I have added the syntax but still the number of observation is only 397.
Below is the all syntax I used for analyzing.

TITLE: LPA_CLASS(3)
DATA: FILE = aloneness.dat;
VARIABLE: NAMES = id sex age job edu resi relation term
lon avoida anxia sds nsds
confid sregul taskd facp distp;
AUXILIARY = id sex age job edu resi relation term;
USEVARIABLES = lon avoida anxia sds nsds;
CLASSES = C(3);
MISSING = ALL(999);
ANALYSIS: TYPE = MIXTURE;
LRTBOOTSTRAP =100;
starts = 100 10;
stiterations = 20;
OUTPUT: TECH11 TECH14;
PLOT: TYPE = PLOT3;
SERIES = lon(1) avoida(2) anxia(3) sds(4) nsds(5);
SAVEDATA: FILE=1.dat;
SAVE=CPROB;
 Bengt O. Muthen posted on Wednesday, July 15, 2020 - 4:47 pm
We need to see your data and full output to diagnose this - send to Support along with your license number.
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