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Repeated Measures ANOVA - Stony Brook

Repeated Measures ANOVA Prof. Wei Zhu Department of Applied Mathematics & Statistics Stony Brook University 2 The One-way ANOVA we have just learnt can test the equality of several population means. It is an extension of the pooled variance t-test That is: H0 (null hypothesis) : 1 = 2 = 3 =.. = k Ha (alternative hypothesis): At least one of means differs from the rest. Assumptions: Unknown but equal population variances Normal populations Independent samples 3 The F statistic kinjiijkNkiiikjxxxxnF11211211where xij = the jth observation in the i th sample. injki,,2,1 and ,,2,1 kiinxxthinjijii,,2,1 sample for mean 1 size sample Total 1 kiinNmean Overall 11 Nxxkinjiji4 The ANOVA table kiiiBxxnSS12 WBMSMSF kiiikBxxnMS1211 kinjiijWjxxSS112 kinjiijkNWjxxMS11211 kkN Source , F Between Within The ANOVA table is a tool for displaying the computations for the F test.

As with any ANOVA, repeated measures ANOVA tests the equality of means. However, repeated measures ANOVA is used when all members of a random sample are measured under a number of different conditions or at different time points. As the sample is exposed to each condition, the measurement of the dependent variable is repeated.

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