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Psychonomic Bulletin & Review

Psychonomic Bulletin & Review

Editor-in-Chief: Gregory Hickok

ISSN: 1069-9384 (print version)
ISSN: 1531-5320 (electronic version)

Journal no. 13423

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Special Virtual Issue: Bayesian Inference for Psychology

Guest Edited by: Joachim Vandekerckhove (University of California, Irvine), Jeffrey N. Rouder (University of California, Irvine, and University of Missouri), and John K. Kruschke (Indiana University)

In this special issue of Psychonomic Bulletin & Review, we review a different set of methods and principles, now based on the theory of probability and its deterministic sibling, formal logic. The aim of the special issue is to provide and recommend this collection of statistical tools that derives from probability theory: Bayesian statistics. The special section is divided into four sections. The first section is a coordinated five part introduction that starts from the most basic concepts and works up to the general structure of complex problems and to contemporary issues. The second section is a selection of advanced topics covered in-depth by some of the world’s leading experts on statistical inference in psychology. The third section is an extensive collection of teaching resources, reading lists, and strong arguments for the use of Bayesian methods at the expense of classical methods. The final section contains a number of applications of advanced Bayesian analyses that provides an idea of the wide reach of Bayesian methods for psychological science.
Read, download and share the articles until January 1, 2019.


Introduction to Bayesian Inference for Psychology
Alexander Etz and Joachim Vandekerckhove
Bayesian data analysis for newcomers
John K. Kruschke and Torrin M. Liddell
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective
John K. Kruschke and Torrin M. Liddell
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramification
Eric-Jan Wagenmakers, Maarten Marsman, Tahira Jamil, Alexander Ly, Josine Verhagen, Jonathon Love, Ravi Selker, Quentin F. Gronau, Martin Šmíra, Sacha Epskamp, Dora Matzke, Jeffrey N. Rouder, and Richard D. Morey
Bayesian inference for psychology. Part II: Example applications with JASP
Eric-Jan Wagenmakers, Jonathon Love, Maarten Marsman, Tahira Jamil, Alexander Ly, Josine Verhagen, Ravi Selker, Quentin F. Gronau, Damian Dropmann, Bruno Boutin, Frans Meerhoff, Patrick Knight, Akash Raj, Erik-Jan van Kesteren, Johnny van Doorn, Martin Šmíra, Sacha Epskamp, Alexander Etz, Dora Matzke, Tim de Jong, Don van den Bergh, Alexandra Sarafoglou, Helen Steingroever, Koen Derks, Jeffrey N. Rouder, and Richard D. Morey
Bayesian inference for psychology, Part III: Parameter estimation in nonstandard models
Dora Matzke, Udo Boehm, and Joachim Vandekerckhove
Bayesian inference for psychology, Part IV: parameter estimation and Bayes factors
Jeffrey N. Rouder, Julia M. Haaf and Joachim Vandekerckhove
Determining informative priors for cognitive models
Michael D. Lee and Wolf Vanpaemel
Bayes factor design analysis: Planning for compelling evidence
Felix D. Schönbrodt and Eric-Jan Wagenmakers
A simple introduction to Markov Chain Monte – Carlo sampling
Don van Ravenzwaaij, Pete Cassey and Scott D. Brown
Four reasons to prefer Bayesian analyses over significance testing
Zoltan Dienes and Neil Mclatchie
How to become a Bayesian in eight easy steps: An annotated reading list
Alexander Etz, Quentin F. Gronau, Fabian Dablander, Peter A. Edelsbrunner, and Beth Baribault
Bayesian latent variable models for the analysis of experimental psychology data
Edgar C. Merkle and Ting Wang
Fitting growth curve models in the Bayesian framework
Zita Oravecz and Chelsea Muth
Sensitivity to the prototype in children with high-functioning autism spectrum disorder: An example of Bayesian cognitive psychometrics
Wouter Voorspoels. Isa Rutten, Annelies Bartlema, Francis Tuerlinckx, and Wolf Vanpaemel

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    The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.

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