If Levene’s p>.05
one way anova
if p<.05
post hoc bonferroni or Tukey HSD
If Levene’s p<.05
Robust Welch ANOVA
if p<.05
Post hoc Games-Howell
Factorial ANOVA
Examining impact of 2 or more factors
factors can be independent, repeated or mixed models
interaction effect can be significant
even when the main effect is not
main effects
mean differences across levels of one factor, collapsing/averaging/marginalising the other factors
when choosing contrasts (planned comparisons(
use CG as reference point
each contrast should compare only 2 pieces
contrasts must not interfere with each other (unique hypotheses, independence)
orthogonal
all contrasts are independent of one another
planned and have a reason
no. orthogonal contrasts=
k-1
Guidelines for contrasts
for k groups, there are ? possible orthogonal contrasts
k-1
k-1 contrasts are required to filly separate the variance explained by the model (SSM)