To obtain a comprehensive understanding of study results, researchers should consider other factors alongside the p-value. These include the confidence interval, which provides a range of values within which the true effect likely lies. Additionally, the effect size and biological plausibility of the findings should be evaluated. Considering these aspects provides a more balanced interpretation of the data.
