Reference collection
Statistical values
Interpret statistical values, effect sizes, intervals, and agreement measures in context.
-
Interpretation guide
Cohen’s Kappa and ICC: Interpreting Rater Agreement
Interpret Cohen’s kappa and intraclass correlation coefficients, identify the statistic reported, and compare competing reliability scales.
-
Interpretation guide
Confidence Interval Interpretation: What the Range Does and Does Not Mean
Read a confidence interval correctly, including width, confidence level, and what it means when an interval includes zero or crosses one.
-
Interpretation guide
P-Value Interpretation: What It Means—and What It Does Not
Interpret a p-value without reversing its probability, distinguish alpha from p, and understand why .05 is a convention rather than a natural law.
-
Interpretation guide
Odds Ratio vs Relative Risk: How to Tell Them Apart
Distinguish odds ratios from relative risks, understand the rare-outcome approximation, and avoid reading an odds ratio as a risk ratio.
-
Interpretation guide
Correlation Strength: How to Interpret r Without Universal Cutoffs
Interpret correlation direction and magnitude using attributed conventions, uncertainty, scatterplots, and field context rather than universal bands.
-
Interpretation guide
Cohen’s d: Interpreting Effect Size Without Treating Cutoffs as Laws
Interpret Cohen’s d using attributed small, medium, and large conventions while keeping field context, uncertainty, and practical meaning visible.
-
Interpretation guide
Standard Deviation Interpretation: What the Value Says About Spread
Interpret standard deviation in the original units, compare spread responsibly, and know when skew, groups, or outliers make the value incomplete.
-
Interpretation guide
Confidence Interval vs Prediction Interval: Why One Is Wider
Distinguish an interval for a mean response from an interval for a new observation and understand why prediction intervals are wider.