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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: Non-parametric tests for survey data? (e.g., Kruskal-Wallace) |

Date |
Tue, 10 Feb 2009 21:38:07 -0000 |

I think you're basically right on the explanations. Given (a) and (b), (c) is not puzzling. You can add (d): StataCorp prefers models. Most user-programmers prefer models, for that matter. Nick n.j.cox@durham.ac.uk Michael I. Lichter I don't see any procedures for doing non-parametric tests (aside from chi-square in svy: tab) with complex survey data (stratified, unequal probabilities of selection). I am particularly looking for tests of difference in ordinal dependent variables across k groups (k > 2). Kruskall-Wallace is the most obvious test, but only available for non-survey data. I assume that these procedures are not available because (a) it's not clear what to do with weights in nonparametric analyses anyway (which I infer partly from the fact that none of Stata's nonparametric procedures take weights), (b) because there's no theory about whether/how they should work, and/or (c) because nobody has gotten around to it yet. I'm looking for suggestions. One possibility that comes to mind is to generate ranks using -egen- and analyze using -svy: mean- or -svy: reg- (I'd use one-way ANOVA if somebody could explain how to do it with -svy- commands). I could also do -svy: intreg- for the variables that represent ranges underlying continuous variables (since most of my ordinal variables do represent well-defined but unequal-sized ranges of underlying continuous variables, e.g., 1 = "> 1", 2 = "2-4" 3 = "5 or more"), but that would require -intreg- to be robust to floor effects, and I doubt that it is (since the method assumes an underlying Normal distribution). (I guess -mlogit-, -ologit- and -gologit2- are also possibilities.) * * 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**:**st: Non-parametric tests for survey data? (e.g., Kruskal-Wallace)***From:*"Michael I. Lichter" <mlichter@buffalo.edu>

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