Constructing Informative Priors Boosts Precision in Small Sample Research.
Bayesian estimation with small samples can be improved by using prior information, which helps to make more accurate predictions. Guidelines have been developed to help gather and formalize this prior knowledge, leading to better results in research. It has been shown that systematic acquisition of prior information can enhance the precision of estimates. However, caution is advised to prevent the misuse of prior information in research.