Hard inference. “The paper reports a statistically significant result, but the effect size is tiny and the authors caution against overinterpretation.” What should a careful reader conclude first?
Q1. Hard inference. “The paper reports a statistically significant result, but the effect size is tiny and the authors caution against overinterpretation.” What should a careful reader conclude first?
Answer: Statistical significance does not automatically imply practical importance
Explanation: Statistical significance indicates that a result is unlikely due to chance, but it does not measure the size or practical importance of an effect — a tiny effect size limits real-world relevance.