The Effect of Sample Size on the Meaning of Significance Tests

DOI10.2307/2684616zbMath0613.62026OpenAlexW4254399385MaRDI QIDQ4720540

Richard M. Royall

Publication date: 1986

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2684616

zbMATH Keywords

sample sizeSignificance testsinterpretation of p-values

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

Related Items (12)

How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size ⋮ Bayesian, classical and hybrid methods of inference when one parameter value is special ⋮ Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests ⋮ History and nature of the Jeffreys-Lindley paradox ⋮ Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”) ⋮ Bayesian Calibration of p‐Values from Fisher's Exact Test ⋮ Axiomatic Development of Profile Likelihoods as the Strength of Evidence for Composite Hypotheses ⋮ Critique of p‐Values ⋮ How Often Likelihood Ratios are Misleading in Sequential Trials ⋮ Unnamed Item ⋮ ValidP-Values Behave Exactly as They Should: Some Misleading Criticisms ofP-Values and Their Resolution WithS-Values ⋮ An Introduction to Second-Generation p-Values

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