Posted by
Doyle, Jennifer on
URL: http://spssx-discussion.165.s1.nabble.com/Advice-tp5430896p5431104.html
Advice
Yes -- correct -- our hypothesis is that the faculty will
consistently be significantly different (across all scenarios) than
learners.....
Can I legitimately do an "unbalanced" ANOVA with such few
faculty? Thanks --jennifer
Jennifer
Doyle, M.A.
Lecturer on Surgery, Harvard Medical
School
Director of Surgical Education
Massachusetts General
Hospital
55 Parkman Street - WAC 455Q
Boston, MA
02114
Phone: 617-643-8731
Fax:
617-724-0405
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outlier; I just haven't found my distribution yet! -- Ronan M. Conroy, Lecturer
in Biostatistics, Royal College of Surgeons of Ireland
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More clarification, please.
If I understand the table of
data, you have about 5 faculty ratings
(4 to 6) and 25 (24 or 25) student
ratings on each of 10 scenarios.
Is that correct?
Unless you
have (what seems unlikely) 50 *different* faculty
members, and 247
*different* students, your suggestion of an
overall t-test is wrong.
Proper testing will have to account for
each set of ratings done by each
person.
An unbalanced ANOVA across scenes, identifying IDs, would
test whether the Attendings regularly scored higher or lower
than the
Residents. That would not examine whether Residents
might be more
varying in their responses.
Art also asked, "What hypotheses are you
interested in?"
--
Rich Ulrich
Date: Wed, 25 Jan 2012 13:43:04 -0500
From:
[hidden email]Subject:
Re: Advice - Follow-up
To:
[hidden email]
This is what an exploration of the data shows -- I'd thought I could
do ANOVA to test differences between faculty & learners
on each scenario - but my sense is that the numbers are too small to do anything
more than a global t-test? Am I on the mark? Thanks!
Jennifer
[snip, table;
previous]
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