A researcher can equally distribute the effects of extraneous variables to all conditions in an experiment by using ____.
A)confounding
B)split sampling
C)repeated measures
D)randomization

Question

Quizplus · Accepted Answer

Randomization involves assigning participants to different conditions in an experiment in a random manner, which helps to ensure that extraneous variables are equally distributed across all conditions. This reduces the chances of these variables affecting the results of the experiment in a differential manner. Confounding involves the presence of two or more variables that are so intertwined that their effects cannot be separated. Split sampling involves dividing the sample into two or more groups and running different treatments on each group. Repeated measures involve using the same participants in all conditions of an experiment. While these methods may be useful in certain contexts, they do not specifically address the issue of extraneous variables and their effects on the experiment.

A Researcher Can Equally Distribute the Effects of Extraneous Variables