Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Jules Perng <[email protected]> |

To |
[email protected] |

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

Date |
Tue, 7 Jan 2014 22:06:21 +0800 |

Thank you so much for your response! I think this is what I'm looking for. Right now I am running: regress Amount i.Factor_1 i.Factor_2 contrast g.Factor_1 g.Factor_2, effects overall after which I believe I will use the results at the beginning which look like this: | df F P>F -------------+---------------------------------- Factor_1 | (1 vs mean) | 1 0.23 0.6303 (2 vs mean) | 1 2.62 0.1057 (3 vs mean) | 1 0.07 0.7958 (4 vs mean) | 1 0.17 0.6846 (5 vs mean) | 1 0.15 0.6952 Joint | 4 0.75 0.5564 If I could trouble you again, that would be great. I don't think this takes into account the way I shaped my data, in which I have repeated measures. So I wonder if there is a way to do so? I can't run contrasts after doing ANOVA. My problem might be a bit abstract, so if it helps, one of the factors is motives, and the other one is the giving under which type of game. My end result will look like: Game 1 Game 2 Game 3 F Stat Everyone (total) mean (s.d.) mean (s.d.) mean (s.d.) - Chosen b/c friend mean (s.d.) mean (s.d.) mean (s.d.) 0.89 (0.05) Chosen b/c needy mean (s.d.) mean (s.d.) mean (s.d.) 0.73 (0.00) Chosen b/c sick mean (s.d.) mean (s.d.) mean (s.d.) 0.28 (0.10) So I want the F-statistics on the right to be from a test that each row below Everyone (total), as in each of the means in each of the games (from that row), is significantly different from the first row. (So what I ran was the following: regress motive_amount i.why i.motive contrast g.why g.motive, effects overall) I've been scratching my head on this for a few days, so if anyone had an idea, that would be great! On Sun, Jan 5, 2014 at 12:17 AM, William Buchanan <[email protected]> wrote: > 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 >> * >> * 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/ > > * > * 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/ -- 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/

**References**:**st: Testing joint hypothesis on means, ANOVA***From:*Jules Perng <[email protected]>

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

- Prev by Date:
**st: Stata vs R** - Next by Date:
**st: SEM & degrees of freedom** - Previous by thread:
**Re: st: Testing joint hypothesis on means, ANOVA** - Next by thread:
**st: New version of -project- on SSC** - Index(es):