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Justify your alpha
Authors
Federico G Adolfi
Casper J Albers
+86 more
Farid Anvari
Matthew AJ Apps
Shlomo E Argamon
Marcel ALM Van Assen
Thom Baguley
Raymond B Becker
Stephen D Benning
Daniel E Bradford
Erin M Buchanan
Aaron R Caldwell
Ben Van Calster
Rickard Carlsson
Sau Chin Chen
Bryan Chung
Lincoln J Colling
Gary S Collins
Zander Crook
Emily S Cross
Sameera Daniels
Henrik Danielsson
Lisa Debruine
Daniel J Dunleavy
Brian D Earp
Michele I Feist
Jason D Ferrell
James G Field
Nicholas W Fox
Amanda Friesen
Caio Gomes
Monica Gonzalez-Marquez
James A Grange
Andrew P Grieve
James Grist
Robert Guggenberger
Anne Laura Van Harmelen
Fred Hasselman
Kevin D Hochard
Mark R Hoffarth
Nicholas P Holmes
Michael Ingre
P Isager
Hanna K Isotalus
Christer Johansson
Konrad Juszczyk
David A Kenny
Ahmed A Khalil
Barbara Konat
D Daniël Lakens
Junpeng Lao
Erik Gahner Larsen
Gerine MA Lodder
Jiří Lukavský
Christopher R Madan
David Manheim
Andrea E Martin
Stephen R Martin
Deborah G Mayo
Randy J McCarthy
Kevin McConway
Colin McFarland
Gustav Nilsonne
Amanda QX Nio
Cilene Lino De Oliveira
Sam Parsons
Gerit Pfuhl
Kimberly A Quinn
John J Sakon
S Adil Saribay
Iris K Schneider
Manojkumar Selvaraju
Zsuzsika Sjoerds
Samuel G Smith
Tim Smits
Jeffrey R Spies
Vishnu Sreekumar
Crystal N Steltenpohl
Neil Stenhouse
Miguel A Vadillo
Donald R Williams
Matt N Williams
Samantha E Williams
Jean Jacques Orban De Xivry
Tal Yarkoni
Ignazio Ziano
Rolf A Zwaan
Wojciech Świątkowski
Publication date
1 January 2018
Publisher
Nature Publishing Group
Abstract
In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level
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Last time updated on 18/04/2019