1. A gentle introduction to Bayesian analysis
- Author
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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, and Leerstoel Aken
- Subjects
Biomedical Research ,Human Development ,Bayesian probability ,Prior learning ,050109 social psychology ,Developmental research ,Machine learning ,computer.software_genre ,Pediatrics ,050105 experimental psychology ,Education ,Bayes' theorem ,Statistics ,Developmental and Educational Psychology ,Humans ,0501 psychology and cognitive sciences ,Pediatrics, Perinatology, and Child Health ,Bayes estimator ,Frequentist probability ,business.industry ,05 social sciences ,Data interpretation ,Bayes Theorem ,16. Peace & justice ,Perinatology ,Statistics::Computation ,Bayesian statistics ,and Child Health ,Data Interpretation, Statistical ,Pediatrics, Perinatology and Child Health ,Artificial intelligence ,business ,Psychology ,Development Methods ,computer - 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
- Published
- 2014