Advances in Methods and Practices in Psychological Science

SSCI-ISI SCOPUS (2018-2025)SCIE-ISI

  2515-2459

  2515-2467

  Mỹ

 

Cơ quản chủ quản:  SAGE Publications Inc.

Lĩnh vực:
Psychology (miscellaneous)

Các bài báo tiêu biểu

Many Labs 2: Investigating Variation in Replicability Across Samples and Settings
Tập 1 Số 4 - Trang 443-490 - 2018
Richard Klein, Michelangelo Vianello, Byron G. Adams, Reginald B. Adams, Sinan Alper, Mark Aveyard, Jordan Axt, Mayowa T. Babalola, Štěpán Bahník, Rishtee Batra, Mihály Berkics, Michael J. Bernstein, Olga Białobrzeska, Evans Dami Binan, Konrad Bocian, Mark J. Brandt, Anna Cabak Rédei, Huajian Cai, Ingrid Poncin, Katarzyna Cantarero, Cheryl L. Carmichael, Francisco Cerić, Jesse Chandler, Jen‐Ho Chang, Armand Chatard, Eva E. Chen, Winnee Cheong, David C. Cicero, Sharon Coen, Jennifer A. Coleman, Brian Collisson, Morgan Conway, Katherine S. Corker, Paul Curran, Fiery Cushman, Zubairu Kwambo Dagona, Sophia Christin Weißgerber, Anna Dalla Rosa, William E. Davis, Leander De Schutter, Thierry Devos, Marieke de Vries, Canay Doğulu, Nerisa Dozo, Kristin Nicole Dukes, Kevin Durrheim, Charles R. Ebersole, John Edlund, Anja Eller, Carolyn Finck, Natalia Frankowska, Miguel-Ángel Freyre, Michael Friedman, Elisa Maria Galliani, Tanuka Ghoshal, Steffen R. Giessner, Tripat Gill, Timo Gnambs, Ángel Gómez, Roberto González, Jesse Graham, Ivan Grahek, Eva G. T. Green, Matthew Haigh, Elizabeth L. Haines, Michael P. Hall, Marie E. Heffernan, Joshua A. Hicks, Petr Houdek, Jeffrey R. Huntsinger, Ho Phi Huynh, Hans IJzerman, Yoel Inbar, Åse Innes-Ker, William Jiménez‐Leal, Melissa-Sue John, Jennifer Joy-Gaba, Roza Gizem Kamiloglu, Heather Barry Kappes, Serdar Karabatı, Haruna Karick, Victor N. Keller, Anna Kende, Nicolas Kervyn, Goran Knežević, Carrie Kovacs, Lacy E. Krueger, German Kurapov, Jamie Kurtz, Daniël Lakens, Ljiljana B. Lazarević, Carmel Levitan, Neil A. Lewis, Samuel Lins, Nikolette P. Lipsey, Joy E. Losee, Esther Maassen, Angela T. Maitner, Winfrida Malingumu, Robyn K. Mallett, Satia A. Marotta, Janko Međedović, Fernando Mena-Pacheco, Taciano L. Milfont, Wendy L. Morris, Sean C. Murphy, Andriy Myachykov, Nick Neave, Koen Ilja Neijenhuijs, A. Nelson, Félix Neto, Austin Nichols, Aaron Ocampo, Susan O’Donnell, Haruka Oikawa, Masanori Oikawa, Elsie Ong, Gábor Orosz, Małgorzata Osowiecka, Grant Packard, Rolando Pérez Sánchez, Boban Petrović, Ronaldo Pilati, Brad Pinter, Lysandra Podesta, Gabrielle Pogge, Monique Pollmann, Abraham M. Rutchick, Patricio Saavedra, Alexander K. Saeri, Erika Salomon, Kathleen Schmidt, Felix D. Schönbrodt, Maciej Sekerdej, David Sirlopú, Jeanine Skorinko, Michael Smith, Vanessa Smith‐Castro, K.C.H.J. Smolders, Agata Sobków, Walter Sowden, Philipp Spachtholz, Manini Srivastava, Troy G. Steiner, Jeroen Stouten, Chris Street, Oskar Sundfelt, Stephanie Szeto, Ewa Szumowska, Andrew C. W. Tang, Norbert K. Tanzer, Morgan J. Tear, Jordan E. Theriault, Manuela Thomae, David Torres, Jakub Traczyk, Joshua M. Tybur, Adrienn Ujhelyi, Robbie C. M. van Aert, Marcel A. L. M. van Assen, Marije van der Hulst, Paul A. M. Van Lange, Anna van 't Veer, Alejandro Vásquez Echeverría, Leigh Ann Vaughn, Alexandra Vázquez, Luis Diego Vega, Catherine Verniers, Mark Verschoor, Ingrid Voermans, Marek Vranka, Cheryl Alyssa Welch, Aaron L. Wichman, Lisa Williams, Michael Wood, Julie A. Woodzicka, Marta K. Wronska, Liane Young, John M. Zelenski, Zhijia Zeng, Brian A. Nosek
We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical s... hiện toàn bộ
Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results
Tập 1 Số 3 - Trang 337-356 - 2018
Raphael Silberzahn, Eric Luis Uhlmann, Daniel P. Martin, Pasquale Anselmi, Frederik Aust, Eli Awtrey, Štěpán Bahník, Feng Bai, Colin Bannard, Evelina Bonnier, Rickard Carlsson, Felix Cheung, Garret Christensen, Russ Clay, Maureen A. Craig, Anna Dalla Rosa, Lammertjan Dam, Mathew H. Evans, Ismael Flores Cervantes, Nathan M. Fong, Monica Gamez-Djokic, Andreas Glenz, Shauna Gordon-McKeon, Timothy Heaton, Karin Hederos, Moritz Heene, Alicia Hofelich Mohr, Fabia Högden, Kent Ngan‐Cheung Hui, Magnus Johannesson, Jonathan Kalodimos, Erikson Kaszubowski, Deanna M. Kennedy, Ryan Lei, Thomas Lindsay, Silvia Liverani, Christopher R. Madan, Daniel C. Molden, Eric Molleman, Richard D. Morey, Laetitia B. Mulder, B. R. Nijstad, Nolan Pope, Bryson Pope, Jason M. Prenoveau, Floor Rink, Egidio Robusto, Hadiya Roderique, Anna Sandberg, Elmar Schlüter, Felix D. Schönbrodt, Martin F. Sherman, S. Amy Sommer, Kristin Lee Sotak, Seth M. Spain, Christoph Spörlein, Tom Stafford, Luca Stefanutti, Susanne Täuber, Johannes Ullrich, Michelangelo Vianello, Eric‐Jan Wagenmakers, Maciej Witkowiak, Sangsuk Yoon, Brian A. Nosek
Twenty-nine teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skin-toned players. Analytic approaches varied widely across the teams, and the estimated effect sizes ranged from 0.89 to 2.93 ( Mdn = 1.31) in odds-ratio units. Twenty teams (69%) found a statistic... hiện toàn bộ
Rejecting or Accepting Parameter Values in Bayesian Estimation
Tập 1 Số 2 - Trang 270-280 - 2018
John K. Kruschke
This article explains a decision rule that uses Bayesian posterior distributions as the basis for accepting or rejecting null values of parameters. This decision rule focuses on the range of plausible values indicated by the highest density interval of the posterior distribution and the relation between this range and a region of practical equivalence (ROPE) around the null value. The article also... hiện toàn bộ
A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared
Tập 2 Số 3 - Trang 228-232 - 2019
J. Toby Mordkoff
Accurate estimates of population effect size are critical to empirical science, for both reporting experimental results and conducting a priori power analyses. Unfortunately, the current most-popular measure of standardized effect size, partial eta squared ([Formula: see text]), is known to have positive bias. Two less-biased alternatives, partial epsilon squared ([Formula: see text]) and partial ... hiện toàn bộ
Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)
Tập 3 Số 2 - Trang 143-162 - 2020
Lincoln Colling, Dénes Szűcs, Damiano De Marco, Krzysztof Cipora, Rolf Ulrich, Hans‐Christoph Nuerk, Mojtaba Soltanlou, Donna Bryce, Sau-Chin Chen, Philipp A. Schroeder, Dion T. Henare, Christine K. Chrystall, Paul M. Corballis, Daniel Ansari, Celia Goffin, H. Moriah Sokolowski, Peter Hancock, Ailsa E. Millen, Steve Langton, Kevin J. Holmes, Mark S. Saviano, Tia A. Tummino, Oliver Lindemann, Rolf A. Zwaan, Jiří Lukavský, Adéla Becková, Marek Vranka, Simone Cutini, Irene C. Mammarella, Claudio Mulatti, Raoul Bell, Axel Buchner, Laura Mieth, Jan Philipp Röer, Elise Klein, Stefan Huber, Korbinian Moeller, Brenda Ocampo, Juan Lupiáñez, Javier Ortiz-Tudela, Juanma de la Fuente, Julio Santiago, Marc Ouellet, Edward M. Hubbard, Elizabeth Y. Toomarian, Remo Job, Barbara Treccani, Blakeley B. McShane
The attentional spatial-numerical association of response codes (Att-SNARC) effect (Fischer, Castel, Dodd, & Pratt, 2003)—the finding that participants are quicker to detect left-side targets when the targets are preceded by small numbers and quicker to detect right-side targets when they are preceded by large numbers—has been used as evidence for embodied number representations and to support str... hiện toàn bộ
Estimating Evidential Value From Analysis of Variance Summaries: A Comment on Ly et al. (2018)
Tập 2 Số 4 - Trang 406-409 - 2019
Thomas J. Faulkenberry