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Selection: Nosek:BA [6 articles] 

Publications by author Nosek:BA.
 

Redefine statistical significance

  
Nature Human Behaviour, Vol. 2, No. 1. (1 September 2017), pp. 6-10, https://doi.org/10.1038/s41562-017-0189-z

Abstract

We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005 ...

 

A manifesto for reproducible science

  
Nature Human Behaviour, Vol. 1, No. 1. (10 January 2017), 0021, https://doi.org/10.1038/s41562-016-0021

Abstract

Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals ...

 

Badges to acknowledge open practices: a simple, low-cost, effective method for increasing transparency

  
PLoS Biology, Vol. 14, No. 5. (12 May 2016), e1002456, https://doi.org/10.1371/journal.pbio.1002456

Abstract

Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open data. After badges, 23% reported open data, with an accelerating trend; 39% reported open data in the first half of 2015, an increase of more than an order of magnitude from baseline. There was no change over time in the low rates of data sharing among ...

 

An open investigation of the reproducibility of cancer biology research

  
eLife, Vol. 3 (10 dec 2014), e04333, https://doi.org/10.7554/elife.04333
edited by Peter Rodgers

Abstract

It is widely believed that research that builds upon previously published findings has reproduced the original work. However, it is rare for researchers to perform or publish direct replications of existing results. The Reproducibility Project: Cancer Biology is an open investigation of reproducibility in preclinical cancer biology research. We have identified 50 high impact cancer biology articles published in the period 2010-2012, and plan to replicate a subset of experimental results from each article. A Registered Report detailing the proposed experimental ...

 

Implementing reproducible research

  
(2014)
by Alexander A. Aarts, Anita Alexander, Peter Attridge, Štěpán Bahník, Michael Barnett-Cowan, Elizabeth Bartmess, Frank A. Bosco, Mikio Braun, Benjamin Brown, C. Titus Brown, Kristina Brown, Jesse J. Chandler, Russ Clay, Hayley Cleary, Michael Cohn, Giulio Costantini, Jan Crusius, Andrew Davison, Jamie DeCoster, Michelle DeGaetano, Ryan Donohue, Elizabeth Dunn, Scott Edmunds, Casey Eggleston, Vivien Estel, Frank J. Farach, Susann Fiedler, James G. Field, Stanka Fitneva, Ian Foster, Joshua D. Foster, Rebecca S. Frazier, Juliana Freire, Elisa M. Galliani, Roger Giner-Sorolla, Lars Goellner, R. Justin Goss, Jesse Graham, James A. Grange, Philip Guo, Joshua Hartshorne, Timothy B. Hayes, Grace Hicks, Holger Hoefling, Bill Howe, Iain Hrynaszkiewicz, Denise Humphries, Christophe Hurlin, Luis Ibanez, Georg Jahn, Kate Johnson, Jennifer A. Joy-Gaba, Heather B. Kappes, Calvin K. Lai, Daniel Lakens, Kristin A. Lane, Etienne P. LeBel, Minha Lee, Kristi Lemm, Melissa Lewis, Stephanie C. Lin, Peter Li, Sean Mackinnon, Heather Mainard, Tanu Malik, Nathaniel Mann, Michael May, Jarrod Millman, Katherine Moore, Matt Motyl, Stephanie M. Müller, Dave Murray-Rust, Peter Murray-Rust, Brian A. Nosek, Catherine Olsson, Cheng S. Ong, Fernando Perez, Christophe Perignon, Marco Perugini, Quan Pham, Michael Pitts, Kate Ratliff, Frank Renkewitz, Anthony Rossini, Abraham M. Rutchick, Gillian Sandstrom, Dylan Selterman, William Simpson, Colin T. Smith, Jeffrey R. Spies, Victoria Stodden, Thomas Talhelm, Anna Veer, Michelangelo Vianello, Yihui Xie

Abstract

In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal ...

 

Promoting transparency in social science research

  
Science, Vol. 343, No. 6166. (03 January 2014), pp. 30-31, https://doi.org/10.1126/science.1245317

Abstract

There is growing appreciation for the advantages of experimentation in the social sciences. Policy-relevant claims that in the past were backed by theoretical arguments and inconclusive correlations are now being investigated using more credible methods. Changes have been particularly pronounced in development economics, where hundreds of randomized trials have been carried out over the last decade. When experimentation is difficult or impossible, researchers are using quasi-experimental designs. Governments and advocacy groups display a growing appetite for evidence-based policy-making. In 2005, Mexico ...

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