Blar i forfatter Institutt for psykologi "Chen, Sau-Chin"

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    • Justify your alpha 

      Lakens, Daniel; Adolfi, Federico G; Albers, Casper J; Anvari, Farid; Apps, M A J; Argamon, Shlomo E; Baguley, Thom; Becker, Raymond B; Benning, Stephen D; Bradford, D E; Buchanan, Erin M; Caldwell, Aaron R; Calster, Ben van; Carlsson, Rickard; Chen, Sau-Chin; Chung, Bryan; Colling, Lincoln J; Collins, G S; Crook, Zander; Cross, Emily S; Daniels, Sameera; Danielsson, Henrik; DeBruine, Lisa; Dunleavy, Daniel J; Earp, Brian D; Feist, Michele I; Ferrell, Jason D; Field, James G; Fox, Nicholas W; Friesen, Amanda; Gomes, Caio; Gonzalez-Marquez, Monica; Grange, James A; Grieve, Andrew P; Guggenberger, Robert; Grist, James; van Harmelen, Anne-Laura; Hasselman, Fred; Hochard, Kevin D; Hoffarth, Mark R; Holmes, Nicholas; Ingre, Michael; Isager, Peder Mortvedt; Isotalus, Hanna K; Johansson, Christer; Juszczyk, Konrad; Kenny, David; Khalil, Ahmed; Konat, Barbara; Lao, Junpeng; Larsen, Erik Gahner; Lodder, Gerine M A; Lukavsky, Jiri; Madan, Christopher R; Manheim, David; Martin, Stephen R.; Martin, Andrea E; Mayo, Deborah G; McCarthy, Randy; McConway, Kevin; McFarland, Colin; Nio, Amanda Q X; Nilsonne, Gustav; de Oliveira, Cilene Lino; de Xivry, Jean-Jacques Orban; Parsons, Sam; Pfuhl, Gerit; Quinn, Kimberly A; Sakon, John J; Saribay, S Adil; Schneider, Iris K; Selvaraju, Manojkumar; Sjoerds, Zsuzsika; Smith, Samuel G; Smits, Tim; Spies, Jeffrey R; Sreekumar, Vishnu; Steltenpohl, Crystal N; Stenhouse, Neil; Swiatkowski, Wojciech; Vadillo, Miguel A; Van Assen, Marcel A. L. M.; Williams, Matt; Williams, Samantha E; Williams, Donald R.; Yarkoni, Tal; Ziano, Ignazio; Zwaan, Rolf A (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-02-26)
      In response to recommendations to redefine statistical significance to p ≤ .005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.

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

      Moshontz, Hannah; Campbell, Lorne; Ebersole, Charles R.; IJzerman, Hans; Urry, Heather L.; Forscher, Patrick S.; Grahe, Jon E.; McCarthy, Randy J.; Musser, Erica D.; Antfolk, Jan; Castille, Christopher M.; Evans, Thomas Rhys; Fiedler, Susann; Flake, Jessica Kay; Forero, Diego A.; Janssen, Steve M. J.; Keene, Justin Robert; Protzko, John; Aczel, Balazs; Álvarez Solas, Sara; Ansari, Daniel; Awlia, Dana; Baskin, Ernest; Batres, Carlota; Borras-Guevara, Martha Lucia; Brick, Cameron; Chandel, Priyanka; Chatard, Armand; Chopik, William J.; Clarance, David; Coles, Nicholas A.; Corker, Katherine S.; Dixson, Barnaby James Wyld; Dranseika, Vilius; Dunham, Yarrow; Fox, Nicholas W.; Gardiner, Gwendolyn; Garrison, S. Mason; Gill, Tripat; Hahn, Amanda C.; Jaeger, Bastian; Kačmár, Pavol; Kaminski, Gwenaël; Kanske, Philipp; Kekecs, Zoltan; Kline, Melissa; Koehn, Monica A.; Kujur, Pratibha; Levitan, Carmel A.; Miller, Jeremy K.; Okan, Ceylan; Olsen, Jerome; Oviedo-Trespalacios, Oscar; Özdoğru, Asil Ali; Pande, Babita; Parganiha, Arti; Parveen, Noorshama; Pfuhl, Gerit; Pradhan, Sraddha; Ropovik, Ivan; Rule, Nicholas O.; Saunders, Blair; Schei, Vidar; Schmidt, Kathleen; Messiah Singh, Margaret; Sirota, Miroslav; Steltenpohl, Crystal N.; Stieger, Stefan; Storage, Daniel; Sullivan, Gavin Brent; Szabelska, Anna; Tamnes, Christian K.; Vadillo, Miguel A.; Valentova, Jaroslava V.; Vanpaemel, Wolf; Varella, Marco A. C.; Vergauwe, Evie; Verschoor, Mark; Vianello, Michelangelo; Voracek, Martin; Williams, Glenn P.; Wilson, John Paul; Zickfeld, Janis H.; Arnal, Jack D.; Aydin, Burak; Chen, Sau-Chin; DeBruine, Lisa M.; Fernandez, Ana Maria; Horstmann, Kai T.; Isager, Peder M.; Jones, Benedict; Kapucu, Aycan; Lin, Hause; Mensink, Michael C.; Navarrete, Gorka; Silan, Miguel A.; Chartier, Christopher R. (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-10-01)
      Concerns about the veracity of psychological research have been growing. 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 ...