Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial designs. Typically, ANOVAs are executed using frequentist statistics, where p-values determine statistical significance in an all-or-none fashion. In recent years, the Bayesian approach to statistics is increasingly viewed as a legitimate alternative to the p-value. However, the broad adoption of Bayesian statistics - and Bayesian ANOVA in particular - is frustrated by the fact that Bayesian concepts are rarely taught in applied statistics courses. Consequently, practitioners may be unsure how to conduct a Bayesian ANOVA and interpret the results. Here we provide a guide for executing and interpreting a Bayesian ANOVA with JASP, an open-source stat...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Item does not contain fulltextAnalysis of variance (ANOVA) is the standard procedure for statistical...
Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial design...
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows r...
Contains fulltext : 226718.pdf (Publisher’s version ) (Open Access)Despite the inc...
Analysis of variance (ANOVA) is a standard method for describing and estimating heterogeneity among ...
This paper introduces JASP, a free graphical software package for basic statistical procedures such ...
This tutorial illustrates how to perform Bayesian analyses in JASP (JASP Team, 2020) with default pr...
This tutorial illustrates how to interpret the more advanced output and to set different prior speci...
In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researcher...
Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate t...
Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I...
Statistics are part of any empirical science, and performance analysis is no exception. However, for...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Item does not contain fulltextAnalysis of variance (ANOVA) is the standard procedure for statistical...
Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial design...
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows r...
Contains fulltext : 226718.pdf (Publisher’s version ) (Open Access)Despite the inc...
Analysis of variance (ANOVA) is a standard method for describing and estimating heterogeneity among ...
This paper introduces JASP, a free graphical software package for basic statistical procedures such ...
This tutorial illustrates how to perform Bayesian analyses in JASP (JASP Team, 2020) with default pr...
This tutorial illustrates how to interpret the more advanced output and to set different prior speci...
In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researcher...
Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate t...
Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I...
Statistics are part of any empirical science, and performance analysis is no exception. However, for...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...