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Eva posted on Saturday, May 26, 2012  1:16 pm



Hi. I have clustered data that I would like to analyze. At the individual level, I have some measured binary covariates and 4 factors (measured by 12 variables), with a binary outcome. At the group level, I have 2 factors (one that is the same as a level1 factor, one that is made up of individual measures + grouplevel only measures), and other continuous measured covariates. My theory concerns this level1 binary outcome as predicted by both level1 and level2 variables, and then hoping to see if crosslevel mediated relationships (e.g., 211, 2211) exist. My model also involves multiple endogenous variables (so various 222 or 111 relationships as well). Does this kind of problem sound like something Mplus can handle? One of the biggest mysteries to me in SEM is how the intercepts fit in the regression analyses. I am more familiar with HLM in which I would predict the level1 intercept using level2 predictors  does Mplus accommodate interceptasoutcome modeling, or is this framework not one in which I should be conceptualizing when doing the HLVSM? 


The intercept is a dependent variable on the between level just as it is in HLM. See the examples in Chapter 9 of the user's guide where random intercepts are shown as circles on the between level. 

Eva posted on Monday, June 04, 2012  9:19 pm



Thank you. Another question: How would I model an intercept of a within latent factor (not class) as a dependent variable at the between level? 


Random intercepts can be used as dependent or independent variables. 

Eva posted on Tuesday, June 05, 2012  2:54 pm



Thank you, but how exactly do I specify that in my syntax? Do I just take a factor that I specify in the WITHIN part of my model and use it as a dependent variable in my BETWEEN equation for it to be modeled as the interceptasoutcome equation? 


A factor does not have a random intercept on between. Observed variables on within have a random intercept on between. You would need to declare a factor on between. See the examples in Chapter 9 of the user's guide. 

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