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An Introduction to Bayesian Evaluation of Informative Hypotheses

  • Herbert HoijtinkEmail author
  • Irene Klugkist
  • Paul A. Boelen
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

Null hypothesis significance testing (NHST) is one of the main research tools in social and behavioral research. It requires the specification of a null hypothesis, an alternative hypothesis, and data in order to test the null hypothesis. The main result of a NHST is a p-value [3].

Keywords

Null Hypothesis Alternative Hypothesis Prior Distribution Behavioral Research Latent Class Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Cohen, J.: The earth is round (p < .05). American Psychologist, 49, 997–1003 (1994)CrossRefGoogle Scholar
  2. [2]
    Kass, R.E., Raftery, A.E.: Bayes factors. Journal of the American Statistical Association, 90, 773–795 (1995)zbMATHCrossRefGoogle Scholar
  3. [3]
    Schervish, M.J: P values: what they are and what they are not. The American Statistician, 50, 203–206 (1996)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Herbert Hoijtink
    • 1
    Email author
  • Irene Klugkist
    • 1
  • Paul A. Boelen
    • 2
  1. 1.Department of Methodology and StatisticsUtrecht UniversityUtrechtThe Netherlands
  2. 2.Department of Clinical and Health PsychologyUtrecht UniversityUtrechtThe Netherlands

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