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A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research
Author(s) -
Schoot Rens,
Kaplan David,
Denissen Jaap,
Asendorpf Jens B.,
Neyer Franz J.,
Aken Marcel A.G.
Publication year - 2013
Publication title -
child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.103
H-Index - 257
eISSN - 1467-8624
pISSN - 0009-3920
DOI - 10.1111/cdev.12169
Subject(s) - bayesian probability , bayesian statistics , bayesian econometrics , variable order bayesian network , bayesian average , computer science , bayesian experimental design , bayesian inference , frequentist probability , psychology , artificial intelligence , machine learning
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.