Select Questions

Chapter 8

1. Factorial designs are used when the researcher wishes to measure the effect of an independent variable __________.

on a dependent variable

on a dependent variable as a function of the effect of at least one other independent variable

as a function of the effect of at least one other dependent variable

on several dependent variables

2. Experiments which test for interactions must include at a minimum __________.

one independent variable and two dependent variables

two independent variables and one dependent variable

two independent variables and two dependent variables

one independent variable and one dependent variable

3. A(n) ______ occurs when the effect of one variable, A, on another variable, X, depends on a third variable, B.

regression

main effect

anomaly

interaction

4. In a factorial design, the total number of treatments __________.

equals the product of the number of levels of each of the independent variables

equals the number of levels of the first independent variable plus the number of dependent variables

equals the number of independent variables

equals the sum of the number of independent variables and the number of dependent variables

5. The degrees of freedom associated with the main effects and interaction in an analysis of variance depend on:

the context of the experiment.

the degree of experimental control that is achieved.

the size of the study.

the power of the statistical test.

6. A researcher investigates the effect of caffeine on problem solving speed. She administers either a placebo, 1, 2, or 5 mg of caffeine to subjects and measures the average time it takes them to solve three problems. This design contains _______________ factor(s) with __________ level(s).

one, three

one, four

four, three

four, one

7. When comparing line and bar charts, __________.

the line chart is superior to the bar chart at showing interactions

tables are better than either the line or bar chart at showing interactions

both are equally good at displaying study results

neither is as good as a table

8. See the summary table below. In the analysis of this two-factor design, __________ F test(s) was/were computed.
Table
Analysis of Variance
Summary Table for Depression Scores
Source              df       F
A = Drug Th         1      1.86
B = Cog Beh Th     1     12.23*
A x B                  1       2.03
Error                30
* p < .05

9. The design that allows the researcher to test for interactions between variables is the __________.

Latin square design

within-subjects design

between-subjects design

factorial design

10. To evaluate the possibility of an interaction between Factors A and B:

the values for the effect of B at each level of A are multiplied.

comparisons must be made of the effects of A at different levels of B.

none of the alternatives are correct

the effects of A at each level of B are subtracted.

11. In the analysis of the two-factor design shown in the summary table below, which F test(s) was/were statistically significant?
Table
Analysis of Variance
Summary Table for Depression Scores
Source              df       F
A = Drug Th         1      1.86
B = Cog Beh Th     1     12.23*
A x B                  1       2.03
Error                30
* p < .05

the F test showing the main effect of B (Cognitive Behavior Therapy)

the F test showing the main effect of A (Drug Treatment)

the F test showing the interaction effect, A x B

none of the F tests were statistically significant.

12. A(n) __________ occurs when the effect of one variable, X, on another variable, Y, depends upon a third variable, Z.

interaction

main effect of X and an interaction between X and Y

main effect of X

main effect of Z