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From |
Jules Perng <[email protected]> |

To |
[email protected] |

Subject |
st: Testing joint hypothesis on means, ANOVA |

Date |
Sat, 4 Jan 2014 23:39:42 +0800 |

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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Testing joint hypothesis on means, ANOVA***From:*William Buchanan <[email protected]>

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