Re: Which test is appropriate?
From: Richard Ulrich (Rich.Ulrich_at_comcast.net)
Date: 07/26/04
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Date: Sun, 25 Jul 2004 22:15:59 -0400
On 25 Jul 2004 13:52:40 -0700, droberts@midsouth.rr.com (DJ) wrote:
> Taking stats class - trying to design study. Am not sure which test
> tool to use. (T-test, ANOVA, etc.)
The t-test is the simplest form of ANOVA.
It is exactly the same test as the F in a one-factor ANOVA
with 2 groups. Regression is another form of ANOVA,
since that stands for 'analysis of variance' -- meaning, in
other words, an analysis that relies on those sums of squares.
>
> Want to evaluate effect of alcohol on dexterity.
>
> Want to establish individual's baseline mean time for a dexterity
> test.
>
> Want to introduce alcohol in same quantity per kg of body weight for
> each participant.
>
> Want to re-measure each individual's time for dexterity test.
A better design will use varying measures of alcohol, including
'non', with the assignment for each person made randomly;
and look for a trend that shows decreased performance with
more alcohol. A dose-related effect is more persuasive than a
single effect. If the folks can improve on the test by practicing,
your no-control design might find nothing at all, or even an
improvement.
It should be fairly simple to compute the change scores for each
person, and then perform a regression using 'dose'.
>
> So want to compare each individual's baseline time to their time after
> variable introduction
That would be a simple repeated measures analysis, looking for
an effect of 'time' or circumstance. It is fine if you are willing to
bet that there is no learning or practice effect.
> Also want to evaluate group baseline mean versus group mean after
> variable.
>
> In essence, each participant will become their own control.
> Is this something that ANOVA would be used for?
Hope this helps.
-- Rich Ulrich, wpilib@pitt.edu http://www.pitt.edu/~wpilib/index.html
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