Re: ANOVA QUESTION - Terminology
- From: Richard Ulrich <Rich.Ulrich@xxxxxxxxxxx>
- Date: Sun, 10 Sep 2006 20:45:15 -0400
Reef Fish Bob has offered several inappropriate comments
to this question, not to mention the insults aimed at me -
On 9 Sep 2006 17:28:52 -0700, "Reef Fish"
<Large_Nassau_Gr0uper@xxxxxxxxx> wrote:
RF >
Richard Ulrich wrote:
On 9 Sep 2006 12:53:19 -0700, "jp" <jpopovich@xxxxxxxxx> wrote:
I have the following set up:
One group (males, females)
One dependent variable (test scores), but tested pre and post tutoring.
Would this be a repeated measures design?
It can be analyzed that way, with the two periods.
The two periods are pre-tutor score and post-tutor scores and
it has only ONE variable, of the "difference" (improvement).
Depending on design, the "improvement" can be effectively
measured as the raw change score or difference; the regressed
change score (in the ANCOVA); or the simple outcome score
(rarely).
RF >
What would this be called (i.e., One-way ANOVA with repeated measures,
Two-way, etc.)?
For Pre-Post, the testing usually assumes that the group means do
not differ at Pre;
Why? Where did you get that?
That is sound advice which is offered in every course or text in
experimental design. Bob is apparently over his head here.
RF >
and the efficient test is usually the one-way
ANCOVA, using the Pre as covariate.
That's just a simple T-test for two independent groups on the
DIFFERENCE of the pre-and-post scores. Freshman/sophomore
stuff, Richard.
Simple change is *not* the same as regressed change.
Reef Fish Bob seems to have missed a course.
jp, get you an elementary testbook on testing means.
That may save you much time in unlearning some bad advice you
get from these newsgroups.
-- Reef Fish Bob.
For the repeated measures, it is "one-way" ANOVA with repeated
measures.
In general, a repeated-measures analysis with several
periods might have a few 'missings' and you could do
the closest thing to the same analysis by doing a two-way
ANOVA with Period and Subject (or ID) as the factors.
--
Rich Ulrich, wpilib@xxxxxxxx
http://www.pitt.edu/~wpilib/index.html
http://www.pitt.edu/~wpilib/index.html
.
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