Factorial ANOVA
Plots
3 tiered effects
interaction effect
simple effect
main effect
A simple effect is an IV compared with all DVs
effect within individual IVs and each DV.
1 main effect per !V
The number of simple effects = sum of all IVs and DVs
Is there an interaction among comparisons
only 1 main efffect
Each simple effect has it's own f-test
The constant (what's being compared) is what changes between effects.
parallel=no interaction effect
Analyzing Effect
non parallel=there is interaction effect
Ordinal interaction
lines not parallel
lines do not cross
disordinal interaction
lines not parallel
lines cross
main effect is inappropriate
Which IV has the most effect.
main effect is situational
In slides
Needed info
main and simple effects
normality
homogenaity
outliers/type 1 error
plots