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Bayesian Independent Samples t-test/Evidence
Method evidence record

Bayesian Independent Samples t-test

The Bayesian independent samples t-test quantifies evidence for or against a mean difference between two independent groups using a Bayes factor rather than a p-value. Rooted in Jeffreys's probability framework and popularized by Rouder et al. (2009), it places a Cauchy prior on the standardized effect size and returns continuous evidence for both the null and alternative hypotheses.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Independent Samples t-test
Taxonomic method record · hypothesis-test / statistics
  • Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. · DOI 10.3758/PBR.16.2.225
  • Jeffreys, H. (1961). Theory of Probability (3rd ed.). Oxford University Press. · ISBN 978-0198503682
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian one-sample t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian one-way ANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketIndependent samples t-testmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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