Factorial, Mixed, and Within subjects ANOVA Flashcards
How many null hypothesis (and hypothesis) would there be for a two-way between subjects factorial design?
3 hypothesis (one for each Iv, and one for the interaction effect)
The total Sum of squares for a two way factorial design, where A is independent variable 1 , and B is independent variable 2 is:
SST =
SSA + SSB + SSAB + SSs/AB
SSs/AB refers to ______
residual error
The mean squares for IV A is MSA = _____/____. For IV B replace A with B.
SSA/DFA
The mean squares for interaction effects is MSAB = ______/______.
SSAB/DFAB
The degrees of freedom for interaction and main effect mean square is the ___________-__________
number of levels in each variable - 1
The subject degrees of freedom in mean square error refers to the __________
number of subjects in each group
Mean square error is known as __________
MSs/AB
The F ratio is the _________________ divided by the __________
Main effect (or interaction) mean square divided by mean square error
A mauchley’s test of sphericity may be required for within subject designs of ____________ levels
3 or more
If sphericity is violated we risk a
type 1 error
In a within subjects ANOVA , SSs refers to
within subject sum of square
In a within subject ANOVA, SSA refers to
variance explained
Subject variability is the __________-___________
grand mean - mean score for all participants across levels
Residual error is shown as
SSAxS
