The guidelines for multiple testing in educational impact evaluations help researchers handle the problem of making sure their results are reliable. By using statistical methods to correct for testing many things at once, researchers can avoid mistakenly thinking there are differences when there aren't. These guidelines also suggest ways to combine different measurements to get a clearer picture of the effects of educational interventions. Additionally, using a Bayesian approach can help researchers make more informed decisions based on the data they have.