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A gentle introduction to Bayesian analysis

Authors :
Van de Schoot, R.
Kaplan, D.
Denissen, J.J.A.
Asendorpf, J.B.
Neyer, F.J.
van Aken, M.A.G.
Methodology and statistics for the behavioural and social sciences
Leerstoel Hoijtink
Faculteit Sociale Wetenschappen
Leerstoel Aken
Developmental Psychology
Methodology and statistics for the behavioural and social sciences
Leerstoel Hoijtink
Faculteit Sociale Wetenschappen
Leerstoel Aken
Source :
Child Development, 85, 842-860. Wiley, Child Development, Child Development, 85(3), 842. Wiley-Blackwell
Publication Year :
2014
Publisher :
Wiley, 2014.

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. http://dx.doi.org/10.1111/cdev.12169 http://onlinelibrary.wiley.com/doi/10.1111/cdev.12169/pdf

Details

Language :
English
ISSN :
14678624 and 00093920
Volume :
85
Database :
OpenAIRE
Journal :
Child Development
Accession number :
edsair.doi.dedup.....c273d5978935f50f4b20516891bdb669