Explanations for improvement in both experimental and control groups.

Abstract

A true experimental design with random assignment to groups protects against false causal inferences that could be made when both the treatment and control groups change because of factors such as testing effects, reactivity, contamination, maturation, history, and other measurement effects. The occurrence of these phenomena, however, provides interesting… (More)