Can you please clarify study design principles that will influence power/type II error minimization.

In looking at case 14, question 10, it refers to applying a more stringent p-value but I was under the impression the alpha and beta values have an inverse relationship regarding power, such that loosening the p-value/criteria for statistical significance may increase the power.
Also I understand that effect size is pertinent to power certainly, but does this question imply that the PT/researcher is manipulating effect size somehow with the study design?

Thanks for pointing this out! You are correct – alpha and beta are inversely related. This is a typo; the question should read “increase the p-value”. Realistically, researcher would not want to use this method for increasing power. The question will be updated today to reflect this!

The question isn’t implying that the researcher would manipulate effect size – only that a larger effect size would result in increased power.