Introduction Compared to a between-subjects design, a within-subjects design
A)decreases interference between treatment conditions.
B)decreases the risk of confounding due to order effects.
C)increases the number of subjects required to run an experiment.
D)increases statistical power.

Question

Quizplus · Accepted Answer

A within-subjects design increases statistical power by reducing individual differences between subjects and increasing the sample size for each treatment condition. It does not necessarily decrease interference between treatment conditions, and while order effects may be a risk in this design, they can be controlled for through counterbalancing techniques. The number of subjects required may be higher, but this is offset by the increased statistical power.

Introduction Compared to a Between-Subjects Design, a Within-Subjects Design