Number of groups = number of levels of between subjects If you are only interested in the main effects, you would select the ANOVA for either repeated measures or between subjects (depending on which IV).Įstimate an effect size: Click “determine” and then “direct”.” Enter a partial eta square size you think might be accurate. When conducting a mixed design ANOVA, often what the researcher is most interested in is the interaction between the independent variables. Statistical Test: Repeated measures, within-between interaction Identify the dependent and independent variables and the types of data they represent.īelow are the inputs you’ll need to do a power analysis for a mixed design ANOVA using G*Power. Which IVs are within subjects? Which IVs are between subjects? There are three independent variables-looks (attractive, average, ugly), personality (high charisma, some charisma, no charisma), and gender (male versus female). Gender was also examined as a potential moderator. The attractiveness and personality of the dating partners was manipulated. The “study” involved participants speed dating a set of potential dating partners and rating how much they would like to go on a real date with them at the end of the night. You can also download a copy of the data here: Download Chick-Flick Dataset. This dataset is available on the website for the textbook here: DSUR Companion Website. We will use Field’s Looksorpersonality.sav data set for this exercise.
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