Significance test in LCM PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Shige Song posted on Saturday, August 26, 2006 - 1:10 pm
I have a general question: how many ways are there in Mplus to test significance of fixed and random parameters in LCM, and which one is generally recommended?

I have a substantively interesting but statistically insignificant parameter (based on Est./S.E.) because the standared error is too big, should I throw this parameter away?

By the way, I am estimating a two-level LCM, and the parameter of interest is at the community-level (level-2).


 Bengt O. Muthen posted on Sunday, August 27, 2006 - 12:12 pm
Well, let's see - we have z scores, bootstrapped CIs, Wald test (Model Test), and loglikelihood difference (chi-square) testing.

I would not necessarily fix an insignificant parameter, but report it as such. Perhaps the sample size is not sufficient, which sometimes happens on level 2. But sometimes the data doesn't carry enough information about a parameter in the specified model.
 Shige Song posted on Wednesday, August 30, 2006 - 9:06 pm
Hi Bengt,

That makes a great deal of sense, thanks!

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