Since there is no three-level EFA option, can you recommend an analytical approach that I could use with MPlus 7? I looked at the ICC's for level 2 and level 3 in my data set, and they are usually between .15 - .21 for all the outcomes. So, it indicates I should really have a three-level EFA.
So, would you recommend doing a two-level EFA (ignoring either the second level or the third level)? Then, should I do a three-level CFA based on the results for the two-level EFA?
Alternatively, I could move directly to a three-level CFA and try several different models. Thanks for any help!
So, I have 14 consecutive days of data nested within 98 individuals nested within 49 dyads. Based on the manual, I should use a two-level model.
By using Type = Complex Twolevel, am I then accounting for both the individual and dyad level clustering in my EFA? If not, what is that command doing?
My ultimate goal is to find the factor structure for several daily-level variables that takes into account the nested nature of the data. So, can the output of a multilevel EFA potentially produce a different factor structure at each level (i.e. time, individual, and dyad)?
In addition, I read thru the user's guide and examples for CH 4 & 9, but I am still not sure if I am coding this multilevel EFA correctly. First, am I coding the three levels correctly (or two levels in your program)? Second, did I choose the correct EFA options to account for these three levels? See below for code.
TITLE: EFA with continuous and count factor indicators
I would treat this as a multivariate rather than a multilevel model. This means the data would be in wide format rather than long format. The non-independence of observations is then handled by multivariate analysis. The modeling is more flexible allowing more parameters for each dyad member.