Power analysis is a statistical method used to determine the minimum sample size needed to detect a certain effect or relationship with a given level of confidence. It helps researchers ensure that their study has enough statistical power to accurately detect differences or relationships between variables. Power analysis takes into account factors such as the desired level of confidence, effect size, and variability in the data to determine the sample size required for a study to be sufficiently powered. By conducting a power analysis, researchers can ensure that their study has a high likelihood of detecting true effects and minimizing the risk of falsely accepting null hypotheses.