Two-way Anova between subjects anova is preformed when you have
A. Related samples in all cells
B. More than two level in each factor
C. Independent samples in all cells
D. One repeated measures factor and one factor with independent samples.
When the effect on scores of changing the levels on one factor depends on which level of the other factor you examine, you have
A. A significant interaction effect
B. Two significant main effects
C. A single significant main effect with no interaction effect
D. A nonsignificant interaction effect and no significant main effects
Two cells differ along more than one factor, the two means are said to be
A. Significantly different
B. Confounded
C. Unconfounded
D. Different die to sample error
In a two way Anova, when the interaction effect is significant, the primary interpretation of the results rests on
A. Whether you have a larger enough sample size
B. Whether you can really meet the assumptions
C. The interpretation of any significant main effects
D. The interpretation of the interaction