Chapter 14- two way ANOVA

Chapter 14- two way ANOVA - Chapter 14 Two Factor Analysis...

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Chapter 14: Two - Factor’Analysis’of’Variance’ (Independent Measure) Terminology Main Effect: The mean differences among the rows of a matrix of data. Interaction: Extra factors interfering with the main effect. If one factor depends on the difference levels of a second factor. Formulas and Symbols This goes about the same as a 1 factor ANOVA however, in a 2 factor ANOVA, we calculate the SS, df, and MS of each factor and the interaction in between them. First we follow the steps of a one way ANOVA and stop when we would calculate the MS and F-Ratio. For a 2 way ANOVA, this will not have enough information for those 2 categories. We need to account for changes in factor A, factor B, and the interaction between the 2 factors.
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SPSS Putting in the data: 1. Enter the scores into the data editor in a stacked format , or enter them one after the other in one column (VAR00001). 2. In the second column (VAR00002), enter a code number to name the level or the treatment. Label scores from factor a with a 1 for the first treatment level, 2 for the
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Chapter 14- two way ANOVA - Chapter 14 Two Factor Analysis...

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