When it is not possible to have participants experience all levels of the independent variable, an alternative approach to a within-groups design can be used.This approach offers the same advantage in statistical power as the within-groups design by:
A) creating larger between-groups differences by using more extreme levels of the independent variable.
B) using a larger number of participants across conditions.
C) assessing differences with planned comparisons rather than post hoc tests.
D) using participants in each group that are matched on variables of interest that we want to control across conditions.

Question

Quizplus · Accepted Answer

The alternative approach referred to in the question is a between-groups design. The best choice is option D, which suggests using matching participants across conditions to control for variables of interest. This helps to ensure that any differences in the dependent variable are due to the independent variable manipulation and not due to differences between participants in different conditions. This approach can result in a reduction in variability in the data, increasing statistical power.

When It Is Not Possible to Have Participants Experience All