The article discusses statistical power analysis in behavioral sciences. It covers topics like t-tests, correlation coefficients, proportions, chi-square tests, analysis of variance, regression, and multivariate methods. The main goal is to help researchers understand how to determine the statistical power of their studies. The key findings include methods for analyzing data and calculating statistical power to ensure research results are reliable and meaningful.