Which of the following experimental designs is best for ruling out confounding variables?
A) Case study
B) Reversal
C) Simple baseline

Question

Quizplus · Accepted Answer

The reversal experimental design is the best choice for ruling out confounding variables because it involves reversing the treatment or condition being studied and measuring the effects again. This helps to rule out any alternative explanations for the results that may be due to confounding variables. The case study design is not ideal for ruling out confounding variables because it involves studying only one individual or group, which may not be representative of the population as a whole. The simple baseline design is not as effective as the reversal design because it only involves measuring the dependent variable before and after the treatment, which may not be enough to rule out confounding variables.

Which of the Following Experimental Designs Is Best for Ruling