KIN222 Lecture Notes - Lecture 10: Repeated Measures Design, Statistical Power, Analysis Of Variance
20 Apr 2017
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Advantages: fewer subjects needed, increased statistical power. Reduced variability (subjects compared to themselves) therefore: decreased denominator (error term) Obtain larger f value called: within subject design. Calculation requires one additional ss calculation sssubjects. A researcher is examining changes in blood lactate during a marathon run. He measures blood lactate in 6 marathon runners: pre-race, 2 miles, 10 miles and race finish. Ho: 1 = 2 = 3 = 4 ( i = j for all i and j) Blood lactate did not change during the marathon run. H1: i j for some i and j. Blood lactate values change during a marathon run. Require df for msbetween and mserror dfbetween : k-1 = 4-1 3 dferror : (k-1)(s-1) = (4-1)(6-1) 15. Fcritical = 5. 42 if fcomputation fcritical then reject ho if fcomputation < fcritical then retain ho. = 41. 60 check: sstotal = ssbetween + sssubjects + sserror. Marathon running did change blood lactate value. (p< . 01) (f (df=3,15) = 33. 7)
