A result's statistical significance indicates that an effect is unlikely to be caused by random chance, whereas its practical significance measures its actual importance or usefulness in a real-world context. Because large sample sizes can make even very weak effects statistically significant, researchers must independently evaluate whether those findings hold any practical value.