Hello, for cross-sectional data, is it possible to handle more than two levels with Mplus? I have cross-sectional data and want to model individuals (level 1) within counties (level 2) within states (level 3)?
So, just to confirm the above conversation, a three-level model can be run by combining complex and twolevel in the Type statement but can only be done in later versions of Mplus, correct? I have version 3. Thank you.
The next version will accomodate modeling with 3-level data, so that one can have a cross-sectional model of say students within classrooms within schools. This means 4-level modeling if the first level is time given that Mplus uses a multivariate, wide format growth approach.
Mplus also does not add a level for multiple indicators.
Note also the Type = Complex Twolevel option where you can handle 3-level data with the nesting at the top level dealt with by correcting the SEs.
Thank you for this useful information. I realize that it is impossible to know exactly when future software upgrades will be available. But could you give a "ballpark" estimate? For example, would it be within the next year, next 2 years, or next 5 years? We are dealing with grant proposal cycles and are interested in when we will be able to utilize Mplus for 4-level analysis?
I would like to conduct a "cross-classified 2-level model multigroup CFA" (for testing measurement invariance), this is EXAMPLE 9.11 of the user's guide but for cross-classified data (like pupils are nested within schools, and also within neighborhoods).
Will this be possible in version 6.1 and when will version 6.1 be available?
I have ordered Mplus 6 to conduct a "cross-classified 2-level model multigroup CFA". I have "ratings for several stimuli by each observer" (level 1) nested within "country of observer" crossed with "country of stimuli" (level 2). Level 2 is a 3x3 design (3 countries each) for explaining level 1. Is there any workaround available in version 6 (may be a latent variable trick or declaring fixed effects)?