ANOVA 0.0 / 5 ? PsychologyFutter StatisticsUniversityNone Created by: jmichelCreated on: 16-05-16 11:06 When to use ANOVA? 3 or more DVs or more DVs 1 of 26 why not using multiple t-test? because of the familywise error 2 of 26 F ratio = ? MSbetween / MSwithin 3 of 26 Between groups deviation of groups means from the grand mean 4 of 26 within groups deviation of individual scores from their respective group mean 5 of 26 total variance deviation if individual scores from the grand mean 6 of 26 What to report with ANOVA Sum of squares, degrees of freedom, mean squares, F-ratio, p-value, effect size 7 of 26 Repeated-measures ANOVA equivalent of the one-way ANOVA, but for related, not independent groups 8 of 26 two-way anova two or more IVs 9 of 26 What is the additional assumption for repeated measure ANOVA? Sphericity (only if 3 or more conditions) 10 of 26 How do we test for sphericity Maulchy's test (if < 0.05 assumption violated) 11 of 26 Where do we look when sphericity is violated? Greenhouse-Geisser 12 of 26 When to look as post hoc tests? When comparisons are sig. 13 of 26 Two-way ANOVA compares several means for 2 independent variables 14 of 26 What are the effects you get of two-way ANOVA? main effect of each variable; interaction between the two 15 of 26 interaction effect combines effect of two or more predictor variables 16 of 26 main effect the unique effect of a predictor variable 17 of 26 What to report with 2x2 ANOVA all the main effects and the interaction 18 of 26 What to check in terms of normality and outliers skewness, Kurtosis, Histograms, Boxplots, z-values 19 of 26 multivariate normality normal distribution to multiple variables 20 of 26 multvariate outliers combination of unusual scores on at least two variables 21 of 26 homogenste of variance variance of one variable is stable at all levels of another variable 22 of 26 small effect size .01 23 of 26 medium effect size .06 24 of 26 large effect size .14 25 of 26 Assumptions of all ANOVAS normality, no outliers, multivariate normality. no multivariate outliers, homogeneity of variance, sphericity 26 of 26
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