Using a repeated-measures design with a separate control group, helps to prevent
A) sampling error
B) score dispersion
C) individual differences
D) confounding variables

Question

Quizplus · Accepted Answer

Using a repeated-measures design with a separate control group helps to control for confounding variables, which are variables that can influence the outcome of the study and create a relationship between the independent and dependent variables that is not due to the actual treatment or condition being studied. By having a control group that does not receive the treatment or condition, researchers can compare the changes in the dependent variable in the treatment group with those in the control group, to help determine whether the treatment or condition had a true effect or whether other factors were involved.

Using a Repeated-Measures Design with a Separate Control Group, Helps