Select Questions

Chapter 8

1. In an experimental design, subjects receive all treatments, according to a predetermined order. The design is a __________ design.
        
2. An experiment with two independent variables, each of which has two levels, in which all combinations of treatments are included, is called a(n) ________ design.
        
3. The degrees of freedom associated with the main effects and interaction in an analysis of variance depend on:
        
4. In the two-factor design shown in the summary table below, there was/were __________ level(s) of Factor A, Drug.
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
        
5. 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
        
6. 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.
        
7. When factors such as age and sex, which are based upon characteristics of subjects, are used as a factor in a factorial design, __________.
        
8. In a within-subjects design, the most likely threat to internal validity is __________.
        
9. When comparing line and bar charts, __________.
        
10. In a between-subjects design, a possible threat to internal validity is _________.
        
11. In a within-subjects design ___________.
        
12. 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