1. BHS 204-01 Methods in Behavioral Sciences I
May 12, 2003
Chapter 8 (Ray)
Between-Subjects Designs

2. Completely Randomized Design
Two groups:
Treatment group – randomly assigned, receives treatment, then measurement.
Control group – randomly assigned, receives no treatment (placebo), then measurement.
Each subject must be equally likely to be placed in either group.
Dependent variable is compared – treatment effect.

3. Multi-Level Design
Instead of a treatment group and a control group, the independent variable occurs at multiple levels:
R Group A Level 1 T M
R Group B Level 2 T M
R Group C Level 3 T M
R Group D Level 4 T M
Analyzed using ANOVA (F-ratio) and planned comparisons (t-tests).

4. Factorial Design
Multiple independent variables (factors), each with at least two levels.
Each level of each independent variable must exist for the other independent variable.
The dependent variable (measurement) is the same for all groups (conditions).
Treatment effects are called main effects.
Independent variables may combine to cause interaction effects.

5. Figure (p. 175) Matrix showing the four possible combinations of each of the two levels of a 2 x 2 factorial random-subject design. Notice that each cell contains one of the four possible combinations of our two independent variables (housing condition and feeding schedule.

6. Figure (p. 173) Schematic representation of 2 x 2, 3 x 3, and 2 x 3 x 2 factorial designs. Note that the total number of treatment conditions in each design can be obtained by multiplying the number of levels of each factor.