1. A __________ design is a design with two or more independent variables, in which the complete set of treatments is defined by the product of the levels of the independent variables.
2. The evidence for interactions can be seen most clearly in which of the following?
3. When factors such as age and sex, which are based upon characteristics of subjects, are used as a factor in a factorial design, __________.
4. In a __________ design, each subject receives all the treatments; in a _________ design, each subject receives only one treatment.
5. A(n) ______ occurs when the effect of one variable, A, on another variable, X, depends on a third variable, B.
6. Experiments which test for interactions must include at a minimum __________.
7. Counterbalancing is a technique that can be used for:
8. 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).
9. In a between-subjects design, a possible threat to internal validity is _________.
10. A(n) __________ occurs when the effect of one variable, X, on another variable, Y, depends upon a third variable, Z.
11. In a factorial design, the total number of treatments __________.
12. In a factorial design, subjects are matched on IQ and then one of each pair is randomly assigned to one of the treatments; the design is a __________.
