Improving the stability of bivariate correlations using informative Bayesian priors : a Monte Carlo simulation study
Objective: Much of psychological research has suffered from small sample sizes and low statistical power, resulting in unstable parameter estimates. The Bayesian approach offers a promising solution by incorporating prior knowledge into statistical models, which may lead to improved stability compared to a frequentist approach. Methods: Simulated data from four populations with known bivariate cor
