
Experimental Design and Analysis
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.
- Steven R. Brown, Lawrence E. Melamed, Lawrence E. Melamed, Lawrence E. Melamed, Lawrence E. Melamed, Lawrence E. Melamed,
Steven R. Brown, Lawrence E. Melamed. SERIES EDITOR'S INTRODUCTION
Social science methods can be divided in two, nonexperimental and
experimental. A key principle of experimental work is manipulation of a treatment
variable (X), followed by observation of a response variable (Y). If I change X,
and Y changes in the hypothesized way, then I am tempted to say X causes Y
However, this causal inference rests on soft ground, unless the experiment has
been properly ...