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From |
"stefan.duke@gmail.com" <stefan.duke@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Factor Analysis with ordinal and binary variables |

Date |
Tue, 2 Jun 2009 13:49:42 +0200 |

Hello, I have question concerning factor analysis on variables with different measurement levels. The questionnaire consists of binary and ordinal variables. If I would have just binary variables, I would use the tetrachoric correlation coefficients. For the ordinal I assume approx. normality and then use the ordinary factor analysis capability. But what do I do when I have both variables? Is it an option to construct the variance-covariance matrix by hand? And what do I take for the correlation between binary and ordinal? Maybe is there a model class which takes care of that, that yields similar outcomes as factor analysis but can deal with such kind of data (e.g. correspondence analysis). I am grateful for every hint. Best, Stefan * * 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/

**Follow-Ups**:**Re: st: Factor Analysis with ordinal and binary variables***From:*Robert A Yaffee <bob.yaffee@nyu.edu>

**st: RE: Factor Analysis with ordinal and binary variables***From:*"Joseph Coveney" <jcoveney@bigplanet.com>

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