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Statistical Significance and the PHC Curve

This book explains the importance of using the probability that the hypothesis is correct (PHC), an intuitive measure that anyone can understand, as an alternative to the p-value. In order to overcome the “reproducibility crisis” caused by the misuse of significance tests, this book provides a detai...

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Dettagli Bibliografici
Autore principale: Toyoda, Hideki (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Soggetti:
Social sciences > Statistical methods.
Statistics .
Markov processes.
Mathematical statistics.
Psychometrics.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistical Theory and Methods.
Markov Process.
Bayesian Inference.
Parametric Inference.
Accesso online:https://doi.org/10.1007/978-981-97-7748-8
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Sommario:
  • Statistical Significance is Merely a Necessary Condition
  • Academic Journals Filled with Redundant Papers
  • Sample size must be determined in advance along with the evidence provided
  • Does the Fact of Deciding in Advance Guarantee Permanence
  • The Probability of a Research Hypothesis Being Correct.

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