Statistical power and research designs
The researcher's choice of research design greatly impacts statistical power
Between-subjects research designs where independent groups are compared on an outcome will decrease statistical power and increase the needed sample size because more observations are needed to detect differences between independent groups.
Within-subjects designs, by far, are the most statistically powerful type of research design. This is because each participant serves as their own control.
Multivariate designs, by default, will always require larger sample sizes in order to detect any interactions or confounding effects associated with the relationship between predictor and outcome variables. At least 20-40 outcomes must be collected for each parameter (or variable) that is entered into a multivariate model.
What type of research design will answer the research question?
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