Mplus Users Guide v6.. - Muthén & Muthén

ANALYSIS CommandEFAAnalyses using TYPE=EFA include exploratory factor analysis ofcontinuous, censored, binary, ordered categorical (ordinal), counts, orcombinations of these variable types. See the ROTATION option of theANALYSIS command for a description of the rotations available forTYPE=EFA. Modification indices are available for the residualcorrelations using the MODINDICES option of the OUTPUT command.Special features available for EFA for all observed outcome variabletypes are:• Missing data• Complex survey dataFollowing are the other TYPE settings that can be used in conjunctionwith TYPE=EFA along with a brief description of their functions:• BASIC computes sample statistics and other descriptive information.• MIXTURE allows models that have both categorical and continuouslatent variables.• COMPLEX computes standard errors and a chi-square test of modelfit taking into account stratification, non-independence ofobservations, and/or unequal probability of selection.• TWOLEVEL models non-independence of observations due toclustering taking into account stratification and/or unequalprobability of selection.Following is an example of how to specify the TYPE option for a singlelevelexploratory factor analysis:TYPE = EFA 1 3;where the two numbers following EFA are the lower and upper limits onthe number of factors to be extracted. In the example above factorsolutions are given for one, two, and three factors.Following is an example of how to specify the full TYPE option for amultilevel exploratory factor analysis (Asparouhov & Muthén, 2007):TYPE = TWOLEVEL EFA 3 4 UW* 1 2 UB*;529