Statistical significance is often misunderstood. Common misinterpretations include:
P-value indicates effect size: A smaller p-value does not necessarily mean a larger effect size; it only indicates the strength of evidence against the null hypothesis. Statistical significance equals clinical significance: An effect can be statistically significant but not clinically meaningful. Non-significant results mean no effect: Non-significant results could be due to insufficient sample size or other factors, not necessarily the absence of an effect.
