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hello, I would like to know how i test for my models significants? my model is a two level path analysis (with both binary and continuous variables), what is the appropriate null measure to test against for model selection? the structure of my model is: CATEGORICAL = fin ini tact pose; %WITHIN% tact ON logTL ; time ON logTL; ini ON logTL ; pose fin ON tact ; time ON pose ini fin ; tact fin ON ini ; fin ON pose ; %BETWEEN% tact time ON N ; thanks in advance |
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An alternative model would be one that includes some of the paths on the within level that are not in the model above. |
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thank you, are you saying that in general there is no formal null model provided by mplus (that includes for example all the possible relationships between variables)? also if i understand correctly my model should be nested within the null model? and not the other way around? victor. |
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We refer to the H0 model as the null model. The H1 model is a totally saturated model. |
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thanks! one more final technical question, for calculating chi-square difference test based on loglikelihood values as explained in your site, i need to specify how many parameters my models have. do i use the value defined in the output? "Information Criteria Number of Free Parameters 22" if not then how can i calculate the amount of parameters? thanks in advance. |
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The number of free parameters is given in the output as you show. |
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