John K Kruschke1. 1. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405-7007, USA.
Abstract
Bayesian methods have garnered huge interest in cognitive science as an approach to models of cognition and perception. On the other hand, Bayesian methods for data analysis have not yet made much headway in cognitive science against the institutionalized inertia of 20th century null hypothesis significance testing (NHST). Ironically, specific Bayesian models of cognition and perception may not long endure the ravages of empirical verification, but generic Bayesian methods for data analysis will eventually dominate. It is time that Bayesian data analysis became the norm for empirical methods in cognitive science. This article reviews a fatal flaw of NHST and introduces the reader to some benefits of Bayesian data analysis. The article presents illustrative examples of multiple comparisons in Bayesian analysis of variance and Bayesian approaches to statistical power.
Bayesian methods have garnered huge interest in cognitive science as an approach to models of cognition and perception. On the other hand, Bayesian methods for data analysis have not yet made much headway in cognitive science against the institutionalized inertia of 20th century null hypothesis significance testing (NHST). Ironically, specific Bayesian models of cognition and perception may not long endure the ravages of empirical verification, but generic Bayesian methods for data analysis will eventually dominate. It is time that Bayesian data analysis became the norm for empirical methods in cognitive science. This article reviews a fatal flaw of NHST and introduces the reader to some benefits of Bayesian data analysis. The article presents illustrative examples of multiple comparisons in Bayesian analysis of variance and Bayesian approaches to statistical power.
Authors: H Bjørn Nielsen; Mathieu Almeida; Agnieszka Sierakowska Juncker; Simon Rasmussen; Junhua Li; Shinichi Sunagawa; Damian R Plichta; Laurent Gautier; Anders G Pedersen; Emmanuelle Le Chatelier; Eric Pelletier; Ida Bonde; Trine Nielsen; Chaysavanh Manichanh; Manimozhiyan Arumugam; Jean-Michel Batto; Marcelo B Quintanilha Dos Santos; Nikolaj Blom; Natalia Borruel; Kristoffer S Burgdorf; Fouad Boumezbeur; Francesc Casellas; Joël Doré; Piotr Dworzynski; Francisco Guarner; Torben Hansen; Falk Hildebrand; Rolf S Kaas; Sean Kennedy; Karsten Kristiansen; Jens Roat Kultima; Pierre Léonard; Florence Levenez; Ole Lund; Bouziane Moumen; Denis Le Paslier; Nicolas Pons; Oluf Pedersen; Edi Prifti; Junjie Qin; Jeroen Raes; Søren Sørensen; Julien Tap; Sebastian Tims; David W Ussery; Takuji Yamada; Pierre Renault; Thomas Sicheritz-Ponten; Peer Bork; Jun Wang; Søren Brunak; S Dusko Ehrlich Journal: Nat Biotechnol Date: 2014-07-06 Impact factor: 54.908