Exam 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design

A researcher assigns participants to one of three groups (Group A,B,or C)and then observes each group for two days (Days 1 and 2).What type of factorial design is most appropriate for this study?

There are ____ factors in a 2 $\times$ 3 ANOVA design.

To summarize any type of two-way ANOVA,we report the test statistic,the degrees of freedom,and the p value for each significant main effect and interaction.

A researcher measures differences in recall between participants watching a regular or a 3-D movie clip with a romance,drama,or action theme.Different participants were observed in each group.What type of statistical design is appropriate for this study?

For the effects of a two-way between-subjects ANOVA,which values must be known to compute effect size using eta-squared?

A significant interaction indicates that at least one pair of cell means significantly differs.

A researcher computes a 2 $\times$ 4 between-subjects ANOVA.What are the degrees of freedom for Factor B for this study?

Which of the following is a reason why it can be necessary to include two factors in the same statistical design?

Which of the following hypotheses identifies a prediction that requires that two factors we observed in the same statistical design?

A researcher groups college students in a study based on their year in college (freshman,sophomore,junior,senior)and the type of college they attend (junior,technical,university).He concludes that perceptions of academic cheating are more positive among freshman attending junior college.To reach this conclusion,which statistical test would need to be computed?

The following APA summary of a significant interaction is correctly stated: "The interaction between playfulness and resiliency was significant,F(16)= 3.07,p < .05 (R² = .12).

If a study has 12 groups,then it is possible that the degrees of freedom for each factor are 2 and 3 degrees of freedom for a two-way between-subjects ANOVA.

For the effects of a two-way between-subjects ANOVA,which values must be known to compute effect size using omega-squared?

The assumptions for a two-way between-subjects ANOVA apply only to main effect tests,and not the interaction test.

A researcher conducts a 2 $\times$ 4 between-subjects ANOVA in which 12 participants were observed in each group.If = 18 and = 264,then what is the decision for Factor A at a .05 level of significance using the two-way between-subjects ANOVA?

Using an A $\times$ B ANOVA,a researcher concludes that Factor A is significant,independent of Factor B.In this study,this researcher found a significant

Homogeneity of covariance is one assumption for computing a two-way between-subjects ANOVA.

Homogeneity of variance is one assumption for the two-way between-subjects ANOVA.

For an analysis of variance,the term "two-way" refers to

A researcher randomly measures social adjustment among children from different family backgrounds (levels of Factor A: divorced,married,single)who engaged in one of five social activities (Factor B).For this study,10 children were observed in each group.If = 10, = 12, = 48,and = 405,then which effect was significant at a .05 level using the two-way between-subjects ANOVA?