A power analysis is a calculation that assists you in determining the smallest sample size for your study. It is made up of four major parts. The researcher should keep in mind that the larger the sample size, the easier it is to achieve the 0.05 level of significance. However, if the sample is too small, the investigator may make a Type II error due to insufficient power. Power analysis is typically performed before data collection. The primary goal of power analysis is to assist the researcher in determining the smallest sample size necessary to detect the effect of a given test at the desired level of significance.