Exam 17: Two-Way Between-Subjects Analysis of Variance

When a statistically significant _____ effect has only two levels,the nature of the relationship is determined in the same fashion as for the independent groups t test.

In the two-way between-subjects ANOVA,the number of F ratios calculated is ____________________. or

In general,statisticians recommend the use of _____ over _____ in determining the nature of a statistically significant interaction effect.

If a factorial ANOVA is computed and a statistically significant main effect is determined for a factor that has two levels,the nature of the relationship should be determined by ____.

The F tests for the three sources of variability in two-way between-subjects analysis of variance are based on the same assumptions that underlie one-way between-subjects analysis of variance.

As a general rule,a summary table is not needed in two-way between-subjects analysis of variance.

When there are unequal sample sizes in the cells of a 2 x 2 factorial between subjects design,modification of the ANOVA techniques are necessary because

In a 4 x 2 factorial design,we can test for _____ main effect(s)and _____ interaction(s).

How many groups of individuals would be included in a 4 x 2 factorial design?

The manner in which we choose to state an interaction is arbitrary.

The data analysis for a two-way ANOVA is the same regardless of whether group sample sizes are equal or unequal.

In a 2 X 2 X 2 factorial design,there are ____________________ independent variables. or

A statistically significant interaction effect in a two-way ANOVA means that the effect of one variable ____________________ the level of the second variable.

As the number of groups in the factorial design increases,_____ becomes increasingly problematic.

When data are presented graphically,the presence of an interaction is suggested by parallel lines.

In two-way between-subjects analysis of variance,df_TOTAL = N - 1.

The F ratio formed by SS_A/SS_WITHIN is used to test the null hypothesis with respect to:

When examining a plot of population means for a two-way ANOVA,what is the simplest way to tell if there is an interaction?

In two-way between-subjects analysis of variance,the relevant mean squares are obtained by dividing the sum of squares for each source of between-group variability by its degrees of freedom.

The principles for detecting main effects and interactions are not readily generalizable from 2 x 2 designs to designs with more than two levels for one or both factors.