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From |
Richard Williams <Richard.A.Williams.5@nd.edu> |

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

Subject |
Re: st: Why t- rather than z-statistics in svylogit? |

Date |
Mon, 24 Nov 2003 10:25:28 -0500 |

At 03:03 PM 11/24/2003 +0000, Ronan Conroy wrote:

My head was spinning a bit too. My interpretation of the complete paragraph is that (1) t statistics are actually what is technically correct even when z statistics are reported by Stata (2) when the number of clusters is small, the difference between t and z is trivial (3) when the number of clusters is large (>50) the difference between t and z is not trivial (or at least need not be trivial). If that is an incorrect interpretation, maybe somebody who understands the svy commands can explain it better.on 24/11/2003 14:25, Richard Williams at Richard.A.Williams.5@nd.edu wrote: This is discussed on p. 357 of the Stata 8 Users guide (see point #2). I can't say that I fully understand the explanation, but the key phrase seems to be "Using z rather than t statistics only yields a nontrivial difference when there is a small number of clusters (<50)." That strikes me as not an entirely unmeaningless statement. Does this mean that the difference is important in any case when the number of clusters goes above fifty? It could be clearer, so. Incidentally, I live with someone who occasionally uses modified triple negatives in conversation. Makes life colourful.

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**References**:**Re: st: Why t- rather than z-statistics in svylogit?***From:*Ronan Conroy <rconroy@rcsi.ie>

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