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ellen posted on Monday, May 21, 2012 - 11:26 pm
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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! |
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