Message/Author 


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 


An alternative model would be one that includes some of the paths on the within level that are not in the model above. 


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. 


We refer to the H0 model as the null model. The H1 model is a totally saturated model. 


thanks! one more final technical question, for calculating chisquare 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. 


The number of free parameters is given in the output as you show. 

Back to top 