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From |
"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu> |

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

Subject |
RE: AW: st: Chi-squared test for independence of observed and expected frequencies |

Date |
Fri, 16 Jul 2010 11:32:56 -0700 |

However, one may want to test subtables when the overall hypothesis is one of homogeneity of various populations. The second test is one of independence. For a full table, the two tests are identical. When one is looking at subtables one is in the multiple testing mode. The way to do this is to look at the likelihood ratio chi-square and compare to the critical value for the full table (i.e. (r-1)(c-1) for the full table) even if one is looking at a 2x2 subtable I don't have the exact reference, but it is fairly old -either something by Novick and Grizzle in JASA or Gabriel in Annals of STatistic. It is before 1980 - if there's demand for this, i can look it up next week. ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Maarten buis [maartenbuis@yahoo.co.uk] Sent: Friday, July 16, 2010 1:36 AM To: statalist@hsphsun2.harvard.edu Subject: Re: AW: st: Chi-squared test for independence of observed and expected frequencies --- On Fri, 16/7/10, Marc Michelsen wrote: > Do you have any idea how the authors have tested > the significance of each of the frequencies? I don't even know what the null hypothesis should be: independence refers to the whole set of frequencies that make up a cross tabulation. A test on individual frequencies then just does not make sense within this context. -- Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/ * * 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**:**AW: st: Chi-squared test for independence of observed and expected frequencies***From:*"Marc Michelsen" <marcmichelsen@t-online.de>

**Re: AW: st: Chi-squared test for independence of observed and expected frequencies***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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