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Date:         Thu, 27 Feb 2003 07:25:30 -0500
Reply-To:     "William B. Ware" <wbware@email.unc.edu>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "William B. Ware" <wbware@email.unc.edu>
Subject:      Re: condition about 2 way anova
Comments: To: Safa Gurcan <I.Safa.Gurcan@VETERINARY.ANKARA.EDU.TR>
In-Reply-To:  <5.2.0.9.0.20030227101143.00a06ec0@veterinary.ankara.edu.tr>
Content-Type: TEXT/PLAIN; charset=US-ASCII

It would appear that you have what is described as a "nonorthogonal" design. The unequal and disproportionate cell sizes introduce "correlations" among the independent variables. Most would recommend the use of Type III sums of squares, which is now the default in SPSS. Essentially, each SS is estimated after partialling out all other effects in the design... Use GLM...

WBW

__________________________________________________________________________ William B. Ware, Professor Educational Psychology, CB# 3500 Measurement, and Evaluation University of North Carolina PHONE (919)-962-7848 Chapel Hill, NC 27599-3500 FAX: (919)-962-1533 http://www.unc.edu/~wbware/ EMAIL: wbware@unc.edu __________________________________________________________________________

On Thu, 27 Feb 2003, Safa Gurcan wrote:

> Is there any restriction on, when analyzing the two way anova? for example > Must be All the sample size equal in each factor level? for instance, in > order to reseach for Oxygen consumption in sport athletes 2 factor is > analyzed. one is distance (short, medium and long) the other is age (15, 20 > and 25+ ) but the sample size are different at the most of factor level? > Can 2 way anova is applied in this condition. > > Distance > short Medium Long > age > > 15 n=15 n=18 n=32 > > 20 n=20 n=24 n=25 > > 25+ n=20 n=20 n=33 > > thanx. >


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