ANOVA effect size
- From: joanne.williams66@xxxxxxxxx
- Date: Tue, 27 May 2008 11:30:27 -0700 (PDT)
I'm currently running a 3-way ANOVA and my sample size is very large
(~16000). Consequently, practically every main effect and interaction
is significant. However, two of the main effects and their interaction
explain the lions share of the variance (the F ratios are F1 = 18, F2
= 53, F1xF2 = 67). All the other effects have F values less than four.
I feel like there should be a short cut way to state this, e.g. "The
main effects and interaction of two of the experimental manipulations
accounted for X% of our explainable variance". Is there such a
measure? Is it as simple as adding up the MStreatments associated with
1, 2, 1 x 2 and dividing by the sum of all the MStreatments? I feel
like that should be a meaningful measure, but perhaps I'm missing
something.
.
- Follow-Ups:
- Re: ANOVA effect size
- From: Bruce Weaver
- Re: ANOVA effect size
- Prev by Date: Re: Statistics of cross-correlation
- Next by Date: Re: Sum of Bernoulli random variables
- Previous by thread: Sum of Bernoulli random variables
- Next by thread: Re: ANOVA effect size
- Index(es):
Relevant Pages
|