Improving Your Statistical Inferences by Daniël Lakens
An accessible, practice-oriented guide to making more reliable statistical decisions, covering study planning, defining the smallest effect size of interest, power and sample size calculations, interpretation of p-values and confidence intervals, equivalence and non-inferiority tests, sequential analyses and error control, and transparent reporting. It emphasizes preregistration, robust analytical choices, and open, reproducible workflows to increase the credibility and cumulative value of empirical research.
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