Detailed Explanation
Confidence intervals provide a richer description of study results than p-values alone by indicating both the direction and magnitude of observed effects and the uncertainty surrounding those estimates. A 95% confidence interval represents a range such that if the study were repeated many times using the same methodology, approximately 95% of the calculated intervals would contain the true parameter value. The width of the interval reflects the precision of the estimate, with narrower intervals indicating more precise estimation.