Small effect sizes in large populations are not the same as statistical
significance due to large samples.  This is what I was referring to.

Paul Okami
----- Original Message ----- 
From: "Wallace Dixon" <[EMAIL PROTECTED]>
To: "Teaching in the Psychological Sciences" <[EMAIL PROTECTED]>
Sent: Monday, August 16, 2004 12:56 PM
Subject: Re: teaching effect size


> But you have to be careful about this.  As noted by Rosenthal, small
effects
> sizes in large populations do not mean unimportant.  Effect sizes as small
> as 1% can still translate into an influence on millions of people in the
US,
> as was the case in the aspirin study and the decreased rate of second
heart
> attacks.
>
> Wally Dixon
>
>
>
>
> On 8/16/04 12:25 PM, "Paul Okami" <[EMAIL PROTECTED]> wrote:
>
> > I usually give an example of results that are statistically significant
> > because of large samples, but have little meaning in the real world.  In
> > other words, they're "real" but "not important."
> >
> > That makes it easy to talk about a statistic that reflects magnitude of
> > group differences.  It's really very intuitive.  (I don't discuss the
math
> > involved).
> >
> > Paul Okami
> > ----- Original Message -----
> > From: "Hatcher, Joe" <[EMAIL PROTECTED]>
> > To: "Teaching in the Psychological Sciences" <[EMAIL PROTECTED]>
> > Sent: Monday, August 16, 2004 12:18 PM
> > Subject: teaching effect size
> >
> >
> >> Hi Tipsters,
> >>
> >> I apologize for the cross-posting.
> >>
> >> I teach the first semester of our two-semester Research Design and
> >> Statistics class, my part of which goes through t-tests and requires a
> >> completed project.  When I first started teaching the course, "effect
> > size"
> >> wasn't one of the topics covered.  In trying to update the class, I
would
> >> like to teach this concept, but I'm having some trouble, as it doesn't
> > come
> >> as naturally to me as do some of the other topics, and most of the
> >> explanations of effect size seem very complicated.
> >>         Can someone point me to a method to teach effect size that is
> > easily
> >> understood by undergraduates?
> >>
> >> Joe Hatcher
> >> Ripon College
> >> Ripon, WI
> >> [EMAIL PROTECTED]
> >>
> >>
> >>
> >> Joe W. Hatcher, Jr., Ph.D.
> >> Psychology
> >> Ripon College
> >> Ripon, WI 54971
> >> USA
> >> [EMAIL PROTECTED]
> >>
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> >
> >
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>
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> Wallace E. Dixon, Jr.              |
> Chair and Associate Professor      |     If children grew up according to
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