A Default Bayesian Hypothesis Test for ANOVA Designs
By Ruud Wetzels, Raoul P. P. P. Grasman, Eric-Jan Wagenmakers. 2012
123 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0a6f3aa42735688a0a94c33c6ab0c3c9841f7a10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Eric-Jan Wagenmakers
- Richard D. Morey
- Jeffrey N. Rouder
- Paul L. Speckman
- Ruud Wetzels
- Sacha Epskamp
- Josine Verhagen
- Alexander Ly
In Statistics and Probability
- Eric-Jan Wagenmakers
- Richard D. Morey
- Jeffrey N. Rouder
- Alexander Ly
- Josine Verhagen
- Quentin F. Gronau
- Jordan M. Province
- Maarten Marsman
Citations in the corpus
- Default Bayes factors for ANOVA designs (2012, methodology): “Wetzels et al. (2012), for example, discuss this approach.”
- Safe models for risky decisions (2017, methodology): “In the approach suggested by Zellner and Siow (1980), the regression coefficients are assigned a multivariate Cauchy prior, which satisfies the consistency requirements on the Bayes factors (Liang et al., 2008; Wetzels et al., 2012).”
- Knowledge, Attitude and Practice Toward COVID-19 Among the Public in the Kingdom of Saudi Arabia: A Cross-Sectional Study (2020, methodology): “Because the scores were continuous, the overall mean differences were estimated using a Bartlett test (21, 22).”
- 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).”