This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test and completely randomized designs.
Experimentation at its most basic involves two groups, experimental and control, the first group typically receiving some treatment (independent variable) designed to induce an effect (dependent variable), and the second not. For purposes of illustration, suppose that members of the above group ...