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Bayesian cross-tabulation analysis/Evidence
Method evidence record

Bayesian cross-tabulation analysis

Bayesian cross-tabulation analysis tests whether two categorical variables are associated by computing a Bayes factor that quantifies the evidence for an association model against an independence model. Unlike classical chi-square testing, it provides a continuous measure of evidence, supports the null hypothesis directly, and updates naturally with prior knowledge about the cell probabilities.

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Source record

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

Bayesian Contingency Table Analysis
Taxonomic method record · hypothesis-test / statistics
  • Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. · DOI 10.1093/biomet/61.3.545
  • Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default Gunel and Dickey Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638–652. · DOI 10.3758/s13428-016-0739-8
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

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

Taxonomic bucketBayesian chi-square testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Independent Samples t-testmachine-suggested · Relational suggestion, not evidence.Same method familyChi-square testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCross-tabulation analysismachine-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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