Given the limitations of p values, researchers often complement them with other statistical measures such as confidence intervals, which provide a range of values within which the true effect size lies. Bayesian methods offer another alternative, incorporating prior knowledge and the likelihood of outcomes to provide a more comprehensive understanding of the data.
