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Bayesian t tests for accepting and rejecting the null hypothesis
Progress in science often comes from discovering invariances in relationships among variables; these invariances often correspond to null hypotheses. As is commonly known, it is not possible to stateExpand
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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
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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
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Bayesian inference for psychology. Part II: Example applications with JASP
Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the abilityExpand
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Statistical Evidence in Experimental Psychology
Statistical inference in psychology has traditionally relied heavily on p-value significance testing. This approach to drawing conclusions from data, however, has been widely criticized, and twoExpand
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Default Bayes Factors for Model Selection in Regression
  • J. Rouder, R. Morey
  • Mathematics, Medicine
  • Multivariate behavioral research
  • 1 November 2012
In this article, we present a Bayes factor solution for inference in multiple regression. Bayes factors are principled measures of the relative evidence from data for various models or positions,Expand
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Computation of Bayes Factors for Common Designs
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An assessment of fixed-capacity models of visual working memory
TLDR
We provide strong experimental support for a fixedcapacity model of visual WM in a visual-working-memory change-detection task in which participants are asked to remember squares of various colors. Expand
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Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications
Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline tenExpand
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Bayes factor approaches for testing interval null hypotheses.
Psychological theories are statements of constraint. The role of hypothesis testing in psychology is to test whether specific theoretical constraints hold in data. Bayesian statistics is well suitedExpand
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