Contributing to the discussion on textiles:

I agree with Donald that the "shirt problem" is suitably modeled using a
within-subjects repeated measures design. This, of course, assumes that
"their heart rate, skin and core temperature etc." were assessed at multiple
time points after wearing one of the four shirt types.  

It is also possible to reconfigure the problem by framing the "type of
shirt" as four different groups in a simple ANOVA but you would
unnecessarily get inflated variance estimates.  In this situation, a
repeated measures design is probably more powerful because it accounts for
correlations among the within-subject variables.  Remember, in both cases,
you should be careful to check for normality because with only 8 cases
normality is often an issue.

My guess is that Paige did not understand the problem correctly.  The author
wrote, that the "same 8 subjects wore the shirts and performed some physical
activity."  At first, I also thought there was only 1 assessment conducted.

Jeff
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-----Original Message-----
From: Donald Burrill [mailto:[EMAIL PROTECTED] 
Sent: Thursday, January 29, 2004 9:11 AM
To: Paige Miller
Cc: [EMAIL PROTECTED]
Subject: Re: [edstat] one way ANOVA or repeated measures ANOVA

On Thu, 29 Jan 2004, Paige Miller wrote in part,
 in response to Bruce Weaver:

> I think it all boils down to terminology differences, as I can't argue
> with your ANOVA table.  I think of this as a full factorial in A and
> B, with a blocking variable named "subject".

Yes, that'a a logical way of looking at it (although probably not the
first way of describing it that would leap to a psychologists's mind!).

> As I said in my first post on this topic, I think of repeated measures
> as you apply a "treatment" to an experimental unit, and then record
> that experimental unit's value over time. For example, you give a drug
> to a subject, then record a measurement of that subject at 1 day, 2
> days, 3 days, ...  Perhaps that's an extremely narrow view of what
> "repeated measures" is, but that's how I use the term.

Exactly.  In Archana's case, the experimental unit is a subject.
Subject dons a garment, carries out some physical activity, and assorted
variables are measured (whether before, during, or after the activity,
or all three, was not specified).  Subject sets this garment aside.
After some time, subject then dons another garment, and the protocol is
repeated.  (Presumably enough time elapses between these repetitions for
any lingering effects of the first activity -- fatigue, elevated heart
rate, etc. -- to have dissipated;  but this too was not specified.)
This continues until all four garments have been used.  Whether the
interval between repetitions is one day, or more or less than a day, or
even whether it's always the same interval, is probably irrelevant to
the outcome, given that presumption.

There may be some lurking issues about equivalence of garments, if a
different set of garments is used for each subject.  (A different set of
issues -- having to do with laundering, e.g. -- arises if the same set
of garments is used by all subjects, or even by more than one subject.)
One gathers these issues are felt not to be important.
  -- DFB.
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 Donald F. Burrill                                         [EMAIL PROTECTED]
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