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From |
"Kihong Eom" <keom0@pop.uky.edu> |

To |
"statalist-hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>, Kihong Eom <keom0@pop.uky.edu> |

Subject |
st: multiple classification analysis |

Date |
Fri, 9 Aug 2002 19:54:24 -0700 |

Dear list Does anybody know whether STATA can perform multiple classification analysis? Further, could you recommend good reading materials for that? Thank you in advance. Kihong I am mot clear what you mean by "multiple classification analysis." In my field, that term refers to a regression model in which one has a set of categorical predictors such as region and religion, neither of which has an particular ordering. To use the variables, one has to create a set of dummies for each. One can also "dummy up" an order variable, sometimes after categorizing it. For example, one could create categories out of a variable measuring years of schooling. An MCA model then is a regression model in which one uses set of dummies to represent categorical variables with or without continuous covariates. In this case, the equivalent of MCA can be obtained by judicious use of the XI command. The results of an MCA contain a set of coefficients relative to a reference category, as does any dummy variable analysis. In sociology, the term MCA usually means that one takes those coefficients and converts them to deviations from the grand mean. SPSS has a routine that does this automatically. To the best of my knowledge STATA does not. The literature on this is spotty. The original technique was developed in a paper by Emanual Melichar, published in, if I recall, the Proceedings of the Survey Research section of the ASA, sometime in the late 60's. The old maroon version of the SPSS manual, for version 4 if I recall, has a nice discussion. See me offline if you need more info. ===================================== Richard T. Campbell Professor of Sociology Phone: 312/413-3759 Fax: 312/996-5104 More info: http://www.uic.edu/~dcamp * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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