Title: RE:Data Analysis
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I agree. When I teach stat and methods, I make the argument that at least
75% of the t-tests and ANOVA's in the literature are performed on ordinal data.
Marty Bourgeois
University of Wyoming
-----Original Message-----
From: jim clark
[mailto:[EMAIL PROTECTED]
Sent: Wed 3/16/2005 11:22 AM
To: Teaching in the Psychological Sciences
Cc:
Subject: RE:Data Analysis
Hi
Do the t-test that Christopher Greene originally
suggested. The
idea that ordinal data cannot be used for such
analyses is a myth
in many (most?) people's minds.
On Wed, 16 Mar
2005, Michael Scoles wrote:
> Looks like you are back to a
chi-square.
>
>
> Michael T. Scoles, Ph.D.
> Interim
Chair, Dept. Psychology & Counseling
> University of Central
Arkansas
> Conway, AR 72035
> >>> [EMAIL PROTECTED]
03/16/05 11:37 AM >>>
> Thanks for all the responses. The
problem I have with Kruskal-Wallis
> and the Mann-Whitney is that I have
a lot of ties. The sample is about
> 500 in size distributed among 5
ordered categories.
>
>
> Stephen A. Truhon, Ph.D.
>
Department of Social Sciences
> Winston-Salem State University
>
Winston-Salem, NC 27110
>
>
>
>
> >The
ordinal scale of the dependent measure might make one reluctant to
> use
a
> >t-test. But a non-parametric version of the t-test
(e.g.,
> Mann-Whitney) might
> >capture the difference in
problem severity between the two groups.
> >
> >Claudia
Stanny
> >
> >
>
>________________________________________________________
>
>
> >Claudia J. Stanny, Ph.D.
> >Associate
Professor
> >General Track Coordinator
> >Department of
Psychology
> >University of West Florida
> >Pensacola,
FL 32514 - 5751
> >
> >[EMAIL PROTECTED]
>
>Web Site: http://uwf.edu/cstanny/website/index.htm
>
>Phone: (850) 474 - 3163
>
>FAX: (850) 857 -
6060
>
>
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Best
wishes
Jim
============================================================================
James
M. Clark
(204) 786-9757
Department of
Psychology
(204) 774-4134 Fax
University of
Winnipeg
4L05D
Winnipeg, Manitoba
R3B 2E9
[EMAIL PROTECTED]
CANADA
http://www.uwinnipeg.ca/~clark
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- RE: Data Analysis Martin J. Bourgeois
-
