PSYCH 3090 Lecture Notes - Lecture 38: Psych, Dfs Furniture

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1 Sep 2015
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X r=row mean o: each row gets calculated. Ssr c=sstotal (sswc+ssr+ssc) df and variance estimate: with an appropriate df for each ss, we obtain different variance estimates, for sswc, the dfwc = ntotal (# of cells) o. Ssc df c: an estimate of the column variance, for ssrxc, the dfrxc = (r 1)(c 1) o. Ssr c df r c: an estimate of the row x column variance. 2 = error+row effect swc error: without row effect, row "s are all equal, f is centered over 1. 2 = error +row columneffect swc error: without column effect, column "s are all equal, f is centered over 1, no interaction between row and column effect, f is centered over 1. Critical f: we compare each calculated f against a critical f, in two-way anova, would have three critical fs. Once for the test on each main effect (row and column factors) and another for the test of the interaction.

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