The Many Ways of Interpretation: P-values, Effect Sizes, and Confidence Intervals

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The p-value is probably the most reported statistic in the literature, as well as the most misunderstood and exploited. Not that the p-value doesn’t have its charms, but there are other, more robust, ways to interpret findings from our statistical tests.
Join Elaine Eisenbeisz of Omega Statistics as she provides an overview of p-values, effect sizes, and confidence intervals. Learn how to integrate these three techniques to help you assure that the results you obtain are not just statistically significant, but also meaningful.