The analysis described in Problem 1 for the posture measurement data on Shoulder Flexion (SF) may be
Question:
The analysis described in Problem 1 for the posture measurement data on Shoulder Flexion (SF) may be criticized because information is lost when the 4 observations for a given subject on a given day are combined into an average score rather than being treated individually in the analysis. The data set shown below allows for an analysis t considers all 12 observations per subject. In analyzing this data set, we assume that the 4 observations for a given subject on a given day are true replicates (i.e., we assume that neither the time of day observed nor the rater used, factors that combine to provide the 4 observations for a given subject, is an important factor for predicting SF response).
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b. Use the computer information provided below to test whether there is a significant main effect of the factor Day. (See the ANOVA table provided below.) What do you conclude?
c. Use the computer output provided below to test whether there is a significant interaction effect between Subjects and Day. If such a test is nonsignificant, why might you be concerned regarding the model that has been fit, and how might you redo the analysis?
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a SF ij 0 b i0 1 b i1 D ij1 2 b i2 D ij2 E ij i 1 19 j 1212 whereE ij b i0 b i1 and b i2 are eachass...View the full answer
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Related Book For 
Applied Regression Analysis And Other Multivariable Methods
ISBN: 632
5th Edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
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