Chapter 14- two way ANOVA

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

This preview shows pages 1–5. Sign up to view the full content.

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.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
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
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 5

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

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online