Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs

DOI10.1016/j.jmp.2015.03.003zbMath1357.62123OpenAlexW2144125453MaRDI QIDQ296942

Farouk S. Nathoo, Michael E. J. Masson

Publication date: 24 June 2016

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2015.03.003

zbMATH Keywords

Bayes factorsBayesian estimationnull-hypothesis significance testingrepeated-measures designs

Mathematics Subject Classification ID

Bayesian inference (62F15) Analysis of variance and covariance (ANOVA) (62J10) Applications of statistics to psychology (62P15)

Related Items (1)

A better (Bayesian) interval estimate for within-subject designs

Cites Work

• Default Bayes factors for ANOVA designs
• The Intrinsic Bayes Factor for Model Selection and Prediction
• Bayes Factors
• A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
• The Effective Sample Size
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