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]

# Re: st: Two factor anova post test

 From Ricardo Ovaldia To statalist@hsphsun2.harvard.edu Subject Re: st: Two factor anova post test Date Tue, 19 Jul 2011 03:18:50 -0700 (PDT)

```Thank you Angel. The term that is significant is race, with three levels, therefore I am not completely sure which means are different, and I do not understand how to use -test-, or even if that is the correct way  to compare them.

Thank you,
Ricardo.

Ricardo Ovaldia, MS
Statistician
Oklahoma City, OK

--- On Mon, 7/18/11, Ángel Rodríguez Laso <angelrlaso@gmail.com> wrote:

> From: Ángel Rodríguez Laso <angelrlaso@gmail.com>
> Subject: Re: st: Two factor anova post test
> To: statalist@hsphsun2.harvard.edu
> Date: Monday, July 18, 2011, 4:05 PM
> Dear Ricardo;
>
> If you were having many factors and many interactions, you
> should be
> worried about and incresed alpha error level for the
> F-test, but with
> 2 factors I doubt this is a problem. Moreover, your p level
> for the
> significance of sex is far away from the conventional 0.05,
> while the
> interaction sex*race is non-significant. Therefore you can
> conclude
> that there is a significant difference only between sexes.
> Because
> there are only two levels, there is no need to carry out
> any posthoc
> test like Scheffe, because you already know which means are
> different,
> those of men and women.
>
> Best regards,
>
> Angel Rodriguez-Laso
>
> 2011/7/18 Ricardo Ovaldia <ovaldia@yahoo.com>:
> > Hello,
> >
> > I performed a two factor ANOVA; one factor (sex) has 2
> levels and the other factor (race) has 3 levels. The
> interaction term is not significant but one of the factors,
> race, is (p=0.0004). How can I determine which means are
> different while maintaining the experiment wise type I error
> rate.
> >
> > If I had only one factor, I could use -oneway- and
> then use, for example, scheffe for multiple comparisons. But
> not sure what to do with two factors.
> >
> > Thank you in advance,
> > Ricardo
> >
> > Ricardo Ovaldia, MS
> > Statistician
> > Oklahoma City, OK
> >
> >
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/help.cgi?search
> > *   http://www.stata.com/support/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/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/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/
```

© Copyright 1996–2017 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index