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
AUTHORS (6)
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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