Topic: Statistical and Practical Significance

Why Important Effects Can Be Statistically Nonsignificant

Why Large Samples Can Make Tiny Effects Significant

When Statistical and Practical Criteria Disagree

Visualizing Estimates Against Practical Thresholds

Uncertainty for a Rescaled Predictor Contrast

Standardized Effects and Practical Relevance

Rescaling Slopes to Meaningful Predictor Changes

Relative Changes Depend on the Baseline Outcome

Reporting Effect Magnitude Alongside Uncertainty

Reading Confidence Intervals on the Outcome Scale