Default Bayes factors for ANOVA designs

By Jeffrey N. Rouder, Richard D. Morey, Paul L. Speckman, Jordan M. Province. 2012

1,707 citations recorded by the source corpus.

Subfields: Food Science, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f9f1c02bfc633eca108c9dc04422f7e558f8bbd9

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Citations in the corpus

An Introduction to Mixed Models for Experimental Psychology (2019, positive): “However, Bayesian approaches require even more care when choosing a contrast scheme, as the prior distribution should ideally be equal for all factor levels, which is not the case for the simple sum-to-zero contrast discussed below (see Rouder et al., 2012, p. 363).”
Bayes factor design analysis: Planning for compelling evidence (2016, background): “2015), the inherently subjective nature of this component has caused many Bayesian statisticians to focus on the Bayes factor –the predictive updating factor– as the metric of interest (Hoijtink et al., 2008; Jeffreys, 1961; Kass & Raftery, 1995; Ly et al., 2016; Mulder & Wagenmakers, 2016; Rouder e”
What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors (2014, methodology): “…a much better idea of the evidence for and against one's hypotheses than does the p-value, in recent years several mathematical psychologists and statisticians have worked on developing better methods for calculating Bayes factors (Liang et al., 2008; Rouder & Morey, 2012; Rouder et al., 2012).”
Are bilingual advantages dependent upon specific tasks or specific bilingual experiences? (2014, background): ““This bias is highly problematic because researchers may reject the null without substantial evidence against it … a p-value of 0.05 may correspond to as much evidence for the alternative as the null” (Rouder et al., 2012, pp. 357–360).”
Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs (2016, methodology): “The R commands to conduct the Bayesian analysis using the rmBayes() function are provided in Appendix C. repeated-measures design, we turn to a comparison between this, the method developed by Rouder et al. (2012), the BIEMS method of Mulder et al. (2012), and the standard NHST approach.”
JASP: Graphical Statistical Software for Common Statistical Designs (2019, methodology): “The Bayesian ANOVA, ANCOVA, and linear regression are based on the work of Liang et al. (2008, see also Rouder and Morey 2012; Rouder et al. 2012; Wetzels et al. 2012).”
A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP (2019, positive): “L’année psychologique/Topics in Cognitive Psychology, 2020, 120, 73-96 BFDA has not been implemented in JASP; an accessible tutorial and a Shiny app are provided by Stefan et al. (2019). We believe that the Bayesian ANOVA provides a perspective on the analysis of factorial designs that can fruitfull”