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Psychon Bull Rev. 2009 Aug;16(4):752-60. doi: 10.3758/PBR.16.4.752.

How to quantify support for and against the null hypothesis: a flexible WinBUGS implementation of a default Bayesian t test.

Author information

1
University of Amsterdam, Amsterdam, The Netherlands. wetzels.ruud@gmail.com

Abstract

We propose a sampling-based Bayesian t test that allows researchers to quantify the statistical evidence in favor of the null hypothesis. This Savage-Dickey (SD) t test is inspired by the Jeffreys-Zellner-Siow (JZS) t test recently proposed by Rouder, Speckman, Sun, Morey, and Iverson (2009). The SD test retains the key concepts of the JZS test but is applicable to a wider range of statistical problems. The SD test allows researchers to test order restrictions and applies to two-sample situations in which the different groups do not share the same variance.

PMID:
19648463
DOI:
10.3758/PBR.16.4.752
[Indexed for MEDLINE]

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