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	Bayesowska dwuczynnikowa ANOVA	Bayesowska jednoczynnikowa ANOVA
Dziedzina	Statystyka	Statystyka
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1961 (foundations); 2012 (default Bayes factor formulation)	1961 (foundations); 2012 (ANOVA Bayes factors)
Twórca	Harold Jeffreys (foundational); modern default-prior form by Jeffrey N. Rouder et al.	Harold Jeffreys (foundations); Jeffrey Rouder et al. (default priors for ANOVA)
Typ	Bayesian hypothesis test	Bayesian hypothesis test
Źródło pierwotne	Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374.	Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374.
Inne nazwy	Bayesian factorial ANOVA, Bayes factor two-way ANOVA, Bayesian 2×k ANOVA, Bayesian two-factor ANOVA	Bayesian ANOVA, BF ANOVA, Bayes factor one-way ANOVA, Bayesian F-test
Pokrewne	4	3
Podsumowanie	Bayesian two-way ANOVA extends the classical two-way analysis of variance by replacing p-values with Bayes factors and posterior distributions. It quantifies evidence for or against main effects and their interaction using prior-weighted model comparison, yielding conclusions that are directly interpretable in probabilistic terms rather than relying on a fixed significance threshold.	Bayesian one-way ANOVA tests whether the means of three or more independent groups differ by computing a Bayes factor — a ratio that quantifies how much more likely the data are under a model that allows group differences than under the null model that assumes equal means. Unlike the classical F-test, it provides direct evidence for or against the null hypothesis rather than merely rejecting or retaining it.