Select Questions

Chapter 8

1. Factorial designs are used when the researcher wishes to measure the effect of an independent variable __________.
        
2. A(n) ______ occurs when the effect of one variable, A, on another variable, X, depends on a third variable, B.
        
3. 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
        
4. The degrees of freedom associated with the main effects and interaction in an analysis of variance depend on:
        
5. When factors such as age and sex, which are based upon characteristics of subjects, are used as a factor in a factorial design, __________.
        
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. To evaluate the possibility of an interaction between Factors A and B:
        
8. In a within-subjects design ___________.
        
9. A(n) __________ occurs when the effect of one variable, X, on another variable, Y, depends upon a third variable, Z.
        
10. A researcher investigates the influence of illumination levels (high, moderate, low) on reading speed, for texts varying in difficulty (complex, simple). In this factorial design, there are a total of __________ treatments.
        
11. In Hall and Kataria's study evaluating different treatments for attention deficit hyperactive disorder, the children were tested on a delayed response task both when they were taking Ritalin and when they were not. A variable such as this involving repeated testing of the same subjects is called:
        
12. 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