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From |
"Joseph Coveney" <jcoveney@bigplanet.com> |

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

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

Date |
Tue, 2 Jun 2009 22:38:21 +0900 |

Stefan Duke wrote: 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). -------------------------------------------------------------------------------- You can use -polychoric-, a user-written command available from SSC that handles datasets like yours. There's a chance that the matrix will not be at least positive semidefinite, but you can use the -forcepsd- option of -factormat- for that. Joseph Coveney * * 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**:**st: RE: RE: Factor Analysis with ordinal and binary variables***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**st: Factor Analysis with ordinal and binary variables***From:*"stefan.duke@gmail.com" <stefan.duke@gmail.com>

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