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Mplus Discussion > Structural Equation Modeling >
 ellen posted on Monday, May 21, 2012 - 11:26 pm
Hi Dr. Muthen,

I encountered a strange result in a SEM model. I have 5 latent variables in total. Two latent variables ("racism" and "self-stigma") are not correlated in the measurement model. But in the structural model, "racism" significantly predicted "self-stigma" in negative direction (opposite to what would be expected).

My question is: How can two latent variables be unrelated, but then have a significant path coefficient between them in a structural model?

Below is what I cut and paste from the output:

RACISM WITH (estimate) (S.E.) (Est./S.E.) p-value
SELFSTGMA 0.144 0.085 1.698 0.089

SELFSTGMA ON (estimate) (S.E.) (Est./S.E.) p-value
RACISM -0.307 0.145 -2.121 0.034

Could you please let me know what could be the problem here?

Thanks so much!
 Linda K. Muthen posted on Tuesday, May 22, 2012 - 5:40 am
Please send the relevant outputs and your license number to
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