A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research

Biomedical Research Human Development 05 social sciences Bayes Theorem 16. Peace & justice 7. Clean energy Education 03 medical and health sciences 0302 clinical medicine 13. Climate action Data Interpretation, Statistical Developmental and Educational Psychology Humans 0501 psychology and cognitive sciences Pediatrics, Perinatology, and Child Health Development Methods
DOI: 10.1111/cdev.12169 Publication Date: 2013-10-12T02:07:21Z
ABSTRACT
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In this study a gentle introduction to Bayesian analysis is provided. It is shown under what circumstances it is attractive to use Bayesian estimation, and how to interpret properly the results. First, the ingredients underlying Bayesian methods are introduced using a simplified example. Thereafter, the advantages and pitfalls of the specification of prior knowledge are discussed. To illustrate Bayesian methods explained in this study, in a second example a series of studies that examine the theoretical framework of dynamic interactionism are considered. In the Discussion the advantages and disadvantages of using Bayesian statistics are reviewed, and guidelines on how to report on Bayesian statistics are provided.
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