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Bayesian t tests for accepting and rejecting the null hypothesis
TLDR
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. Expand
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 processedExpand
Default Bayes factors for ANOVA designs
Bayes factors have been advocated as superior to pp-values for assessing statistical evidence in data. Despite the advantages of Bayes factors and the drawbacks of pp-values, inference by pp-valuesExpand
Redefine statistical significance
TLDR
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. Expand
Bayesian inference for psychology. Part II: Example applications with JASP
TLDR
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. Expand
Statistical Evidence in Experimental Psychology
TLDR
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. Expand
Default Bayes Factors for Model Selection in Regression
  • J. Rouder, R. Morey
  • Mathematics, Medicine
  • Multivariate behavioral research
  • 1 November 2012
TLDR
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. Expand
An assessment of fixed-capacity models of visual working memory
TLDR
Assessment of the receiver operating characteristics (ROC) of participants in a visual-working-memory change-detection task yielded evidence highly consistent with a discrete fixed-capacity model of working memory for this task. Expand
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