Table 1.

Commonly reported statistics in Bayesian inference.

Notation/	Full name	Interpretation
abbreviation
Prior	Prior distribution	Distribution of the effect size, as assumed prior to data collection/analysis
Posterior	Posterior distribution	Actual distribution of the effect size after the data at hand have been analyzed
P(M)	Prior model probability	Probability of this particular statistical model being supported by the data at hand, as assumed prior to data collection/analysis
P(M|data)	Posterior model probability	Posterior probability of this particular model being supported by the data at hand, after they have been analyzed
BF	Bayes factor	The strength of evidence in favor of a given statistical model, relative to another statistical model (see below)
BF01	Bayes factor 0/1	The strength of evidence in favor of model 0, relative to model 1
BF10	Bayes factor 1/0	The strength of evidence in favor of model 1, relative to model 0
Error%	Stability of the BF	The range of the BF over the chosen Markov chain Monte Carlo iterations, e.g., BF10 = 10 with error% = 20 means that the BF10 ranged from 8-12