PSYC 2002 Chapter Notes - Chapter 13: Descriptive Statistics, Null Hypothesis, Analysis Of Variance
21 Nov 2016
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Stats week 12/chapter 13: repeated measures and two-factor analysis of variance. Repeated-measures anova: it is possible to compare several different treatment conditions using a repeated-measures research design in which the same group of individuals participates in every treatment. Two-factor anova: often, research questions are concerned with how behaviour is influenced by several different variables acting simultaneously. A researcher may want to examine how weight loss is related to different combinations of diet and exercise. In this situation, two variables are manipulated (diet and exercise) and a third variable is observed (weight loss). The study has two independent variables, or two factors. Independent measures two-factor anova: the structure of a two-factor anova is presented as a matrix. The two factors will be listed, along with the two levels for each factor. The resulting two-by-two matrix shows four different combinations of the variables, producing four different conditions.
