How to quantify support for and against the null hypothesis: a flexible winBUGS implementation of a default Bayesian t-test
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| Publication date | 2009 |
| Journal | Psychonomic Bulletin & Review |
| Volume | Issue number | 16 | 4 |
| Pages (from-to) | 752-760 |
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| 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. |
| Document type | Article |
| Published at | https://doi.org/10.3758/PBR.16.4.752 |
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