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| Equality constraints dependent variables |
 
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Hello,
I'm working on a SEM linking parental (M=mothers; F=fathers) autism and ADHD symptoms to perceived stress in the upbringing of their affected (strsFA/strsMU) and unaffected (strsFU/strsMU) offspring, with parental depressive mediating herein.
My model is as follows:
MODEL:
deprF ON adhdF ASDF;
deprM ON adhdM ASDM;
strsFA ON deprF;
strsFU ON deprF;
strsMA ON deprM;
strsMU ON deprM;
strsFA ON adhdF ASDF;
strsFU ON adhdF ASDF;
strsMA ON adhdM ASDM;
strsMU ON adhdM ASDM;
adhdF WITH ASDF;
adhdM WITH ASDM;
strsFA WITH strsFU;
strsMA WITH strsMU;
ASDM WITH ASDF;
adhdM WITH adhdF;
deprM WITH deprF;
strsFA WITH strsMA;
strsFU WITH strsMU;
My main problem is that I can't get Mplus to equalize the correlation between strsFA WITH strsFU on the one hand, and strsMA and strsMU on the other hand. Several of my colleagues working with Mplus also did not get this to work. is this because these are dependent measures and also capture error variance?
Thank you |
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strsFA WITH strsFU (1);
strsMA WITH strsMU (1);
holds the residual covariances of the two WITH statements equal. |
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I know this is the normal procedure to get this to run, but this doesn't work, nor does the statement
strsFA WITH strsFU (a);
strsMA WITH strsMU (a);
Mplus seems to skip these lines. I don't get an error warning, it simply ignores these lines. If I put another statement on these lines, for example
strsFA ON deprF (a);
strsMA ON deprM (a);
it does work. |
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