Hi Elizabeth, In confirmatory factor analysis with multiple groups, the reason one needs to estimate the models simultaneously is that, typically, one is interested in applying constraints (e.g., forcing all or some of the factor loadings to be equal across groups). In exploratory factor analysis, constraints are uncommon (they are somewhat un-exploratory).
I would suggest simply using the psych package and subsetting your data to the particular group, as in: efa( data = subset(data, Group == "Group1") ) efa( data = subset(data, Group == "Group2") ) etc. As you noted, lavaan will allow you to test multiple group CFAs, so if/when you are ready to see whether the same configural factor structure or any other level of invariance holds across your groups, you can use it. Sincerely, Josh On Mon, Jul 28, 2014 at 2:46 PM, Elizabeth Barrett-Cheetham < ebarrettcheet...@gmail.com> wrote: > Hello R users, > > Iâm hoping to run an exploratory and confirmatory factor analysis on a > psychology survey instrument. The data has been collected from > multiple groups, and itâs likely that the data is hierarchical/has 2nd > order factors. > > It appears that the lavaan package allows me to run a multiple group > hierarchical confirmatory factor analysis. Yet, I canât locate a > package that can run the equivalent exploratory analysis. > > Could anyone please direct me to an appropriate package? > > Many thanks, > > Elizabeth > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Joshua F. Wiley Ph.D. Student, UCLA Department of Psychology http://joshuawiley.com/ Senior Analyst, Elkhart Group Ltd. http://elkhartgroup.com Office: 260.673.5518 [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
