What theoretical, methodological and practical advantages can be derived from the use of Bayesian approaches in data analysis in organizational psychology?
Inferences that are intuitive to humans. Results from Bayesian statistics (e.g. credible intervals) tend to be straightforward to interpret, whereas "classical" results (e.g. p-values, confidence intervals) tend to be misinterpreted by almost everyone
Good small-sample performance (with informative priors)
Ability to allow for small non-zero parameter estimates (e.g. cross-loadings or residual covariances in factor analysis), where "classical" approaches only allow free estimation or constraints
Ability to explicitly incorporate previous knowledge