Σύγκριση μεθόδων

	Μπεϋζιανή Διπαραγοντική ANOVA	Ανάμεικτη Ανάλυση Διακύμανσης (Mixed ANOVA)
Πεδίο	Στατιστική	Στατιστική
Οικογένεια	Hypothesis test	Hypothesis test
Έτος προέλευσης	1961 (foundations); 2012 (default Bayes factor formulation)	1925
Δημιουργός	Harold Jeffreys (foundational); modern default-prior form by Jeffrey N. Rouder et al.	R. A. Fisher (ANOVA framework); split-plot design formalised in agricultural experimentation
Τύπος	Bayesian hypothesis test	Parametric factorial ANOVA
Θεμελιώδης πηγή	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.	Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE. ISBN: 978-1526419521
Εναλλακτικές ονομασίες	Bayesian factorial ANOVA, Bayes factor two-way ANOVA, Bayesian 2×k ANOVA, Bayesian two-factor ANOVA	split-plot ANOVA, mixed-design ANOVA, between-within ANOVA, Karma ANOVA (Mixed ANOVA — Gruplar Arası × Tekrarlı)
Συναφείς	4	6
Σύνοψη	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.	Mixed ANOVA is a parametric factorial analysis of variance that simultaneously examines at least one between-subjects factor and at least one within-subjects (repeated-measures) factor. Rooted in R. A. Fisher's ANOVA framework formalised in 1925, it is the standard method for experimental and longitudinal designs in which different groups are each measured across multiple time points or conditions.