PSYC 51a Lecture Notes - Lecture 13: Repeated Measures Design, Null Hypothesis, F-Test
21 Apr 2017
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Document Summary
One sample of subjects are assigned to >2 conditions/treatments. Different columns contain the dep var for each condition. One column codes conditions; another column is dep var. Anova compares variances between treatments to variance within treatment (chance error) F = treatment effect + chance = msbetween = Dep var: average laps run per week. N = # of observations = n*k. Note: calculations for tukey hsd tests are not shown. Spss does not provide them in the repeated measure menu, and we will not learn how to do them manually. Comparisons are presented here just to remind you to look at the pattern of difference between treatments after find a significant effect of the iv. In a study of the effects of the presence of others on amount of running, a repeated- measures anova revealed that there were significant differences among the three treatment groups, f(2, 8)= 37. 5, p < . 01.
