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 Terese Glatz posted on Monday, June 01, 2009 - 3:57 am
Hello

I have a cross-lagged model with 2 observed variables at 2 time points. It's a saturated model and one cross-lag is significant and the other one is not. I wanted to test if these two where different in strength, so I constrained both and got a non-significant drop in chi2. My question is, should I keep them constrained and conclude that they are not significantly different from each other?

Also I have heard that one could ask for critical ratios of differences and look at the t-value that one gets in the output to see which paths are significantly different from each other. I couldn't find any information about this in the Mplus manual. What should I ask for in the output part?


Best, Terese Glatz
 Linda K. Muthen posted on Monday, June 01, 2009 - 10:00 am
If the equality constraint causes the chi-square to increase signficantly, this means the parameters are not equal and therefore the equality should be removed.

We give z-values for each parameter in the third column of the results. The only way to compare parameters other than what you did in the first paragraph is to use the Wald test from MODEL TEST.
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