Despite the "rules of thumb" for various measures of effect size, what is
common in the literature for a particular area is a better guide.


On Fri, Dec 8, 2017 at 1:46 PM, Annette Taylor <tay...@sandiego.edu> wrote:

>
> I am a stats moron by self-description. Although I "aced" stats in
> graduate school in the 1970's/1980's I am woefully behind in anything new
> since then.
>
> So I would appreciate if someone can give me at least a quick and dirty
> heuristic for interpreting the size of partial eta squared in SPSS. I did
> google it but got little helpful guidance.
>
> Here is the situation: I have a 2 x 2 x 2 anova with a main effect on one
> of the variables. Here is the output line:
> Source Type III Sum of Squares df Mean Square       F Sig. Partial Eta
> Squared
> Refute2            11.593                1 11.593           10.004 .002
>           .061
> Error          179.626            155   1.159
> Total         1302.000             163
>
>
> I am concerned that even though the p value is quite nice, the partial eta
> squared at .061 is hard to make sense of. Is this a good effect size or is
> this a tiny effect size?
>
> Thanks to you stats mavens! Reading about eta squared versus partial eta
> squared just didn't answer my questions.
>
> Annette
>
> Annette Kujawski Taylor, Ph.D.
> Professor, Psychological Sciences
> University of San Diego
> 5998 Alcala Park
> <https://maps.google.com/?q=5998+Alcala+ParkSan+Diego,+CA&entry=gmail&source=g>
> San Diego, CA
> <https://maps.google.com/?q=5998+Alcala+ParkSan+Diego,+CA&entry=gmail&source=g>
> 921210
> tay...@sandiego.edu
>
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-- 
Michael T. Scoles, Ph.D.
Associate Professor of Psychology & Counseling
University of Central Arkansas
Conway, AR 72035
501-450-5418

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