Sorry, Paige, but I must disagree with your analysis of Archana's problem. There are indeed three factors; but "Type A" is not a factor, it is one level of of the two-level factor "Type". Archana described this design: Type (A or B) X Size (medium or large) X Subject
(In principle, the 8 Subjects could have been nested in one or two other two-level factors, but Archana did not say so.) A "repeated measure" (in the context of analysis of variance) is any design factor that is crossed with Subjects, so that the levels of that factor are repeated with each subject. Paige is correct that "Subjects are not a repeated measure" -- clearly they cannot be; but both Type of garment ans Size of garment are repeated measures, also called "within-subjects factors". There appear to be no between-subjects factors; or at any rate Archana has not mentioned any. As is always true for any repeated-measures situation, there is one other factor: the Order in which the Subject encounters the levels of the repeated-measures factor(s). If one had been concerned that the value of a measured variable (heart rate, skin temperature, etc.) observed while wearing one garment might be influenced by having previously worn another garment, one might have varied the order of the four garments among the subjects. If all subjects encountered all garments in the same order, one cannot pursue this possible concern (which seems to me unlikely in this case anyway). (Order is always a between-subjects factor.) > Archana wrote: > > > I am textile engineering looking for some statistical advice. > > I have the following test garments (total 4 types)- > > > > Type A - medium and large > > Type B - medium and large > > > > The same 8 subjects wore the shirts and performed some physical > > activity. Their heart rate, skin and core temperature etc were > > monitored. I want to find out if the heart rate or the other > > parameters are significant for the 4 types of shirt. What do i follow? > > One way anova or repeated measures design and why? > On Thu, 29 Jan 2004, Paige Miller replied: > Neither, I think. > > This is not a one-way ANOVA, as you have three factors (Type A, Type > B and subject). Therefore, it should be a three-way ANOVA. I see > nothing that would indicate this is a repeated measures design, > which to me usually implies repeat measurements over time. Subjects > are not a repeated measure, they are a classification variable that > is crossed with Type A and Type B. ----------------------------------------------------------------------- Donald F. Burrill [EMAIL PROTECTED] 56 Sebbins Pond Drive, Bedford, NH 03110 (603) 626-0816 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
