Share This Author
Bayesian t tests for accepting and rejecting the null hypothesis
- J. Rouder, P. Speckman, Dongchu Sun, R. Morey, G. Iverson
- BiologyPsychonomic Bulletin & Review
- 1 April 2009
To facilitate use of the Bayes factor, an easy-to-use, Web-based program is provided that performs the necessary calculations and has better properties than other methods of inference that have been advocated in the psychological literature.
Baysefactor: Computation of Bayes Factors for Common Designs
Default Bayes factors for ANOVA designs
Modeling Response Times for Two-Choice Decisions
The diffusion model for two-choice real-time decisions is applied to four psychophysical tasks. The model reveals how stimulus information guides decisions and shows how the information is processed…
Redefine statistical significance
The default P-value threshold for statistical significance is proposed to be changed from 0.05 to 0.005 for claims of new discoveries in order to reduce uncertainty in the number of discoveries.
Bayesian inference for psychology. Part II: Example applications with JASP
This part of this series introduces JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems.
Default Bayes Factors for Model Selection in Regression
This article presents a Bayes factor solution for inference in multiple regression, providing a web applet for convenient computation and guidance and context for use of these priors, and discusses the interpretation and advantages of the advocated Bayes factors evidence measures.
Bayes factor approaches for testing interval null hypotheses.
This article develops several Bayes factor 1-sample tests for the assessment of approximate equality and ordinal constraints, which are alternatives to previously developed Bayes factors, which do not allow for interval null hypotheses.
Statistical Evidence in Experimental Psychology
- Ruud Wetzels, D. Matzke, M. Lee, J. Rouder, G. Iverson, E. Wagenmakers
- PsychologyPerspectives on Psychological Science
- 1 May 2011
The authors provide a practical comparison of p values, effect sizes, and default Bayes factors as measures of statistical evidence, using 855 recently published t tests in psychology and conclude that the Bayesian approach is comparatively prudent, preventing researchers from overestimating the evidence in favor of an effect.