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From | "Davydenko, Maria" <Maria_Davydenko@hks13.harvard.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Chi-Square produces consistent Type I error for large sample |
Date | Tue, 29 Nov 2011 17:55:01 -0500 |
Hello all, I'm having trouble interpreting the output from Stata's survey-based tab/chi-square analysis. I have a panel data sample of ~33,000 observations and am trying to test for variation in one categorical var due to another categorical var. As far as I know, the best way to do this is using chi-square. Here's the trouble: everything I test using svy:tab comes up significant to a p-level of 0.004 or lower. If I randomly select a smaller sample size, the p-value gradually gets larger. Is there something I'm missing here? Any help would be much appreciated. Thanks! Maria -- Maria Davydenko Master in Public Policy Candidate 2013 Harvard Kennedy School +1 (907) 301-5339 | maria_davydenko@hks13.harvard.edu www.givology.org Give to learn, learn to give * * 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/