Literature DB >> 31886452

The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network.

Hannah Moshontz1, Lorne Campbell2, Charles R Ebersole3, Hans IJzerman4, Heather L Urry5, Patrick S Forscher6, Jon E Grahe7, Randy J McCarthy8, Erica D Musser9, Jan Antfolk10, Christopher M Castille11, Thomas Rhys Evans12, Susann Fiedler13, Jessica Kay Flake14, Diego A Forero15, Steve M J Janssen16, Justin Robert Keene17, John Protzko18, Balazs Aczel19, Sara Álvarez Solas20, Daniel Ansari21, Dana Awlia22, Ernest Baskin23, Carlota Batres24, Martha Lucia Borras-Guevara25, Cameron Brick26, Priyanka Chandel27, Armand Chatard28, William J Chopik29, David Clarance30, Nicholas A Coles31, Katherine S Corker32, Barnaby James Wyld Dixson33, Vilius Dranseika34, Yarrow Dunham35, Nicholas W Fox36, Gwendolyn Gardiner37, S Mason Garrison38, Tripat Gill39, Amanda C Hahn40, Bastian Jaeger41, Pavol Kačmár42, Gwenaël Kaminski43, Philipp Kanske44, Zoltan Kekecs45, Melissa Kline46, Monica A Koehn47, Pratibha Kujur48, Carmel A Levitan49, Jeremy K Miller50, Ceylan Okan47, Jerome Olsen51, Oscar Oviedo-Trespalacios52, Asil Ali Özdoğru53, Babita Pande48, Arti Parganiha48, Noorshama Parveen48, Gerit Pfuhl54, Sraddha Pradhan48, Ivan Ropovik55, Nicholas O Rule56, Blair Saunders57, Vidar Schei58, Kathleen Schmidt59, Margaret Messiah Singh60, Miroslav Sirota61, Crystal N Steltenpohl62, Stefan Stieger63, Daniel Storage64, Gavin Brent Sullivan12, Anna Szabelska65, Christian K Tamnes66, Miguel A Vadillo67, Jaroslava V Valentova68, Wolf Vanpaemel69, Marco A C Varella68, Evie Vergauwe70, Mark Verschoor71, Michelangelo Vianello72, Martin Voracek73, Glenn P Williams74, John Paul Wilson75, Janis H Zickfeld66, Jack D Arnal76, Burak Aydin77, Sau-Chin Chen78, Lisa M DeBruine79, Ana Maria Fernandez80, Kai T Horstmann81, Peder M Isager82, Benedict Jones79, Aycan Kapucu83, Hause Lin56, Michael C Mensink84, Gorka Navarrete85, Miguel A Silan86, Christopher R Chartier22.   

Abstract

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA's mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.

Entities:  

Keywords:  Psychological Science Accelerator; crowdsourcing; generalizability; large-scale collaboration; theory development

Year:  2018        PMID: 31886452      PMCID: PMC6934079          DOI: 10.1177/2515245918797607

Source DB:  PubMed          Journal:  Adv Methods Pract Psychol Sci        ISSN: 2515-2459


  37 in total

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3.  Practical Solutions for Sharing Data and Materials From Psychological Research.

Authors:  Rick O Gilmore; Joy Lorenzo Kennedy; Karen E Adolph
Journal:  Adv Methods Pract Psychol Sci       Date:  2018-01-10

Review 4.  Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning.

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Journal:  Perspect Psychol Sci       Date:  2017-08-25

Review 5.  Psychology's Renaissance.

Authors:  Leif D Nelson; Joseph Simmons; Uri Simonsohn
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7.  The rise and fall of immediate and delayed memory for verbal and visuospatial information from late childhood to late adulthood.

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8.  Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency.

Authors:  Mallory C Kidwell; Ljiljana B Lazarević; Erica Baranski; Tom E Hardwicke; Sarah Piechowski; Lina-Sophia Falkenberg; Curtis Kennett; Agnieszka Slowik; Carina Sonnleitner; Chelsey Hess-Holden; Timothy M Errington; Susann Fiedler; Brian A Nosek
Journal:  PLoS Biol       Date:  2016-05-12       Impact factor: 8.029

9.  PSYCHOLOGY. Estimating the reproducibility of psychological science.

Authors: 
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10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  25 in total

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5.  Face perception: A brief journey through recent discoveries and current directions.

Authors:  Ipek Oruc; Benjamin Balas; Michael S Landy
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6.  To which world regions does the valence-dominance model of social perception apply?

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10.  Perspectives on Recruitment and Representativeness in Forensic Psychiatric Research.

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