The article discusses how to avoid making incorrect conclusions in rehabilitation research by controlling Type I errors. The traditional Bonferroni method is often too strict, leading to reduced statistical power. Adjusted Bonferroni methods are suggested to balance error control and statistical power, making it easier for researchers to analyze their data accurately. By using these adjusted methods, researchers can reduce the number of incorrect conclusions in their studies.