Power Analysis is a statistical method used to determine the likelihood that a study will detect an effect when there is one to be found. It helps researchers decide on the appropriate sample size needed to achieve reliable results. By calculating the power of a test, researchers can minimize the risk of Type II errors, which occur when a study fails to identify a true effect. Conducting a Power Analysis involves considering factors such as the expected effect size, sample size, significance level, and the statistical test being used. This process ensures that studies are adequately equipped to provide meaningful insights, ultimately enhancing the quality of research findings.