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RE: st: Repeated Measures ANOVA and Missing Values


From   amir gahremanpour <gamirali@hotmail.com>
To   statalist <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Repeated Measures ANOVA and Missing Values
Date   Mon, 17 Oct 2011 20:24:00 -0500

thanks so much phil,

so I suppose for repeated measures without missing values, xtmixed or r.anova are kind of the same thing !

Amir

> Date: Mon, 17 Oct 2011 13:56:47 -0700
> Subject: Re: Re: RE: st: Repeated Measures ANOVA and Missing Values
> From: ender97@gmail.com
> To: statalist@hsphsun2.harvard.edu
> 
> <gamirali@hotmail.com> wrote:
> what is considered to be small sample size for xtmixed? from what I
> understood from you xtmixed Chicago lecture with small sample size
> xtmixed may cause type I error, if I am correct please advise about a
> good sample size (total sample size) for xtmixed.
> ----------------------
> Dear Amir,
> 
> The issue is not the sample size for -xtmixed- but what sample size do
> you need to have confidence in the chi-square p-values.  I'm afraid
> there is no simple easy answer to this question.  Most experimental
> designs tend to have relatively small sample sizes and report F-ratios
> and associated p-values.  If I don't have repeated measures, I use
> -anova- or -regress-.  However, for repeated measures with missing
> observations I use -xtmixed-.  Back when I was a S*S user I used -proc
> mixed- which gives results as F-ratios with denominator degrees of
> freedom.  A lot of my psychology clients use S*SS -mixed- which also
> yields F-ratios and p-values.  I try to obtain the same results in
> Stata, my preferred package, by estimating reasonable denominator
> degrees of freedom.
> 
> -- 
> Phil Ender
> UCLA Statistical Consulting Group
> "Money can't buy you happiness, but it can buy you a good statistical package."
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