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BIBTEX RIS

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

2018; SAGE Publishing; Volume: 1; Issue: 4 Linguagem: Inglês

10.1177/2515245918797607

2515-2467

Hannah Moshontz, Lorne Campbell, Charles R. Ebersole, Hans IJzerman, Heather L. Urry, Patrick S. Forscher, Jon 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, Balázs Aczél, Sara Álvarez Solas, Daniel 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 Dixson, Vilius Dranseika, Yarrow Dunham, Nicholas W. Fox, Gwendolyn Gardiner, S. Mason Garrison, Tripat Gill, Amanda Hahn, Bastian Jaeger, Pavol Kačmár, Gwenaël Kaminski, Philipp Kanske, Zoltán Kekecs, Melissa Kline, Monica A. Koehn, Pratibha Kujur, Carmel Levitan, Jeremy K. Miller, Ceylan Okan, Jerome Olsen, Óscar 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 Varella Valentová, Wolf Vanpaemel, Marco Antônio Corrêa Varella, Evie Vergauwe, Mark Verschoor, Michelangelo Vianello, Martin Voracek, Glenn Patrick Williams, John Paul Wilson, Janis Zickfeld, Jack Arnal, Burak Aydın, Sau-Chin Chen, Lisa M. DeBruine, Ana María Fernández, Kai T. Horstmann, Peder Mortvedt Isager, Benedict C. Jones, Aycan Kapucu, Hause Lin, Michael C. Mensink, Gorka Navarrete, Miguel Alejandro A. Silan, Christopher R. Chartier,

Cognitive Science and Mapping

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.