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

Hannah Moshontz, Lorne Campbell, Charles Ebersole, Hanz IJzerman, Heather Urry, Patrick Forscher, Jon Grahe, Randy McCarthy, Erica Musser, Jan Antfolk, Christopher Castille, Thomas Evans, Susann Fiedler, Jessica Flake, Diego Forero, Steve Janssen, Justin Keene, John Protzko, Balazs Aczel, Sara SolasDaniel Ansari, Dana Awlia, Ernest Baskin, Carlota Batres, Martha Borras-Guevara, Cameron Brick, Priyanka Chandel, Armand Chatard, William Chopik, David Clarance, Nicholas Coles, Katherine Corker, Barnaby Dixson, Vilius Dranseika, Yarrow Dunham, Nicholas Fox, Gwendolyn Gardiner, S. Mason Garrison, Tripat Gill, Amanda Hahn, Bastian Jaeger, Pavol Kačmár, Gwenaël Kaminski, Phillip Kanske, Zoltan Kekecs, Melissa Kline, Monica Koehn, Pratibha Kujur, Carmel Levitan, Jeremy Miller, Ceylan Okan, Jerome Olsen, Oscar Oviedo-Trespalacios, Asil Özdoğru, Babita Pande, Arti Parganiha, Noorshama Parveen, Gerit Pfuhl, Sraddha Pradhan, Ivan Ropovik, Nicholas Rule, Blair Saunders, Vidar Schei, Kathleen Schmidt, Margaret Singh, Miroslav Sirota, Crystal Steltenpohl, Stefan Stieger, Daniel Storage, Gavin Brent Sullivan, Anna Szabelska, Christian Tamnes, Miguel Vadillo, Jaroslava Valentova, Wolf Vanpaemel, Marco Varella, Evie Vergauwe, Mark Verschoor, Michelangelo Vianello, Martin Voracek, Glenn Williams, John Wilson, Janis Zickfeld, Jack Arnal, Burak Aydin, Sau-Chin Chen, Lisa DeBruine, Ana Fernandez, Kai Horstmann, Peder Isager, Benedict Jones, Aycan Kapucu, Hause Lin, Michael Mensink, Gorka Navarrete, Miguel Silan, Christopher Chartier

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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.
Original languageEnglish
Pages (from-to)501-515
JournalAdvances in Methods and Practices in Psychological Science
Issue number4
Early online date1 Oct 2018
Publication statusPublished - Dec 2018


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