Power Analysis is an important aspect of experimental design. It allows us to determine the sample size required to detect an effect of a given size with a given degree of confidence. There are four parameters involved in a power analysis. The research must ‘know’ 3 and solve for the 4th. 1. Alpha: Probability of finding significance where there is none False positive Probability of a Type I error Usually set to.05 2. Power Probability of finding true significance True positive 1 – beta, where beta is: Probability of not finding significance when […]