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A Psychologist’s View on Bayesian Evaluation of Informative Hypotheses

  • Marleen RijkeboerEmail author
  • Marcel van den Hout
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

Psychologists, like other scientists, gather and analyse data to evaluate the explanatory power of theories. Typically they build on earlier studies, explicitly or implicitly formulating competing hypotheses and inferring different predictions about, for instance, the relative scores of different groups on an outcome measure in an experimental study. As a means to test their theories, psychologists are accustomed to the classical statistical tradition and most of them apply null hypothesis significance testing (NHST) that is dominant within this tradition. They are trained to use the Statistical Package for the Social Sciences (SPSS), which centers on NHST, and train their students to do the same.

Keywords

Structural Equation Modeling Bayesian Approach Dissociative Identity Disorder Structural Equation Modeling Framework Bayesian Evaluation 
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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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Department of Clinical and Health PsychologyUtrecht UniversityUtrechtthe Netherlands

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