Mixed ANOVA Flashcards
between-subjects
independent measures
within-subjects
repeated measures
what is mixed anova and what does it test?
1+ w-s factor and 1+ b-s factor
tests a main effect for each factor and an interactive effect of the factors
do you check homogeneity of variances of sphericity in mixed anova?
both
when is sphericity assumption violated?
when differenced aren’t equal (sig. value)
Box’s test of equality of covariance
homogeneity of intercorrelations (for each level of w-s should be same)
box’s M statistic
violated if p<.001 (we want the stat to be non-sig. >.001)
unequal sample sizes
SPSS outputs
- w-s factors (factor levels)
- b-s factors (factor levels)
- descriptive stats (means and SDs)
- Box’s test of equality of covariance matrices (want a non-sig stat)
- Mauchly’s test of sphericity (want a non-sig stat)
- tests of w-s effects (ANOVA stats for main effects/interaction)
- Levene’s test of equality of variances (want non-sign stat)
- tests of b-s effects (df, f ratio etc)
- estimated marginal means (main effects means)
- profile plots (non-parallel = sig. interaction)
formally reporting ANOVA
- anova type, effect of factor on DV
- means and SDs in table or text
- assumptions (sphericity, homogeneity of variance, homogeneity of covariances)
- anova results (df, f ratio and p value)
- effect size and meaning for all main effects and interactions
- report comparisons
interpret
follow up steps for mixed anova
(un)planned comparisons when 3+ factor levels
unplanned = no hypothesis - Bonferroni
planned = hypothesis - paired/independent samples t-test/planned comparisons