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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)501-515
Number of pages15
JournalAdvances in Methods and Practices in Psychological Science
Volume1
Issue number4
Early online date1 Oct 2018
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Psychological Science Accelerator
  • crowdsourcing
  • generalizability
  • theory development
  • large-scale collaboration

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