The null hypothesis for the main effect states that there is a difference in the scores due to the level of A
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Q15: The simplest of factorial designs is the
Q16: A two-way ANOVA consists of two DVs
Q17: The purpose of factorial ANOVA is to
Q18: The two-way ANOVA tests two separate hypotheses
Q19: Any dependent differences produced by either Factor
Q21: Interaction between factors occurs when the effect
Q22: The null hypothesis for the tests of
Q23: The validity of the results of a
Q24: Eta squared is commonly viewed as the
Q25: Eta squared is viewed as a descriptive
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