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From |
"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: confirmatory factor analysis with binary variables |

Date |
Mon, 15 Dec 2008 15:45:51 -0500 |

>>I am trying to do a confirmatory factor analysis on data that is all binary, 0=no, 1=yes. I have downloaded the tertrachoric command and used this to find the tertrachoric correlations. Is it possible to do confirmatory factor analysis with this data using the cfa1 command in Stata 9? If so, can anyone explain how?<< A really cheesy workaround might be to do the following: (1) Get tetrachoric correlations using -tetrachoric-. (2) Simulate a dataset of the proper sample size with that correlation matrix. (3) Using -factor- with ML extraction and one factor, or with -cfa1-, fit a one-dimensional factor analysis. This is what my SEM professor Rod McDonald would have called a "device" but it might give you a very approximate answer until you get -gllamm- or MX up and running and do it right. To skip the whole simulation bit, use -factormat- with the tetrachoric correlations via ML factor analysis, which is basically a one-step version that got generalized and fixed up into the algorithms in software like Mplus or MX. People used to do this back in the old days---you'll see it discussed in older factor analysis books. Oblique target rotations can even approximate a CFA tolerably well. JV * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: confirmatory factor analysis with binary variables***From:*"Buckley, Gillian J." <gbuckley@jhsph.edu>

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