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Re: st: Testing joint hypothesis on means, ANOVA
From
William Buchanan <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Testing joint hypothesis on means, ANOVA
Date
Sat, 4 Jan 2014 10:17:50 -0600
Try -help contrast-. You should also provide a bit more information regarding how you specify the ANOVA itself since that could also create issues when doing the other comparisons.
Sent from my iPhone
> On Jan 4, 2014, at 9:39, Jules Perng <[email protected]> wrote:
>
> Greetings all,
> I have two factors and a dataset with repeated measures. I have
> reshaped it so that it looks a bit like the following:
>
> Subject Factor_1 Factor_2 Amount
> 1 1 1 5
> 1 1 2 7
> 1 1 3 3
> 2 3 1 5
> 2 3 2 2
> 2 3 3 8
> 3 2 1 4
> 3 2 2 8
> 3 2 3 4
> 4 5 1 4
> 4 5 2 3
> 4 5 3 7
> 5 3 1 9
> 5 3 2 5
> 5 3 3 8
> 6 4 1 8
> 6 4 2 9
> 6 4 3 4
>
> Where each subject will select one from five choices of Factor_1 and
> select an Amount for each of Factor_2.
>
> I will be arranging the data like so:
>
> Factor_2: 1 Factor_2: 2 Factor_2:
> 3 F stat.
> All Factor_1 (total)
> Factor_1: 1
> Factor_1: 2
> Factor_1: 3
> Factor_1: 4
> Factor_1: 5
>
> Where I will have the means for each within the matrix.
>
> I would like to run joint hypothesis tests stating that all of the the
> row means for each of 1 through 5 of Factor_1 are jointly different
> from the total means (in the first row). I would find an F-stat for
> each, so there would be 5 F-statistics (the first row would be blank).
>
> I have been quite stuck on how to do this. I found this reference:
> http://www.stata.com/support/faqs/statistics/multiple-comparison-tests/
> - and it seems that I should run anova, and then test. However, the
> example doesn't show how to compare one level to all of the levels
> together. I also played a bit with the manova command, but it didn't
> give me what I wanted.
>
> It would be great if someone knew the response to this. I have combed
> the internet so hopefully this is not a repeated inquiry.
>
> Thanks so much.
>
> --
> Jules Perng
> 503-943-9574
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