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4 results on '"Pieńkosz, D"'

1. Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability

Author

Lena F. Aeschbach, Balazs Aczel, Maria Vlachou, Blair Saunders, Jennifer A. Joy-Gaba, Ailsa E. Millen, Christopher R. Chartier, Danielle J. Kellier, Carlo Chiorri, Damian Pieńkosz, Tiago Jessé Souza de Lima, Sean Hughes, Carmel A. Levitan, Luca Andrighetto, Mallory C. Kidwell, Domenico Viganola, Sebastiaan Pessers, Sue Kraus, Claudia Chloe Brumbaugh, John E. Edlund, Ernest Baskin, Anna Fedor, Brett Mercier, Michał J. Białek, Sean Coary, Antonia M. Ciunci, Bence E. Bakos, Jon Grahe, Sabina Kołodziej, Radomir Belopavlović, Emilian Pękala, William J. Chopik, Rosanna E. Guadagno, Don A. Moore, Florian Brühlmann, Gideon Nave, Katarzyna Idzikowska, Rachel L. Shubella, Ryan J. Walker, Orsolya Szöke, Mathias Kauff, Ana Orlić, Sara Steegen, Hans IJzerman, Katarzyna Kuchno, Mitchell M. Metzger, Heather M. Claypool, Michael J. Wood, Samuel Lincoln Bezerra Lins, Michael C. Frank, Benjamin Dering, Iris Žeželj, Erica Baranski, Sophia C. Weissgerber, Timothy Razza, Leanne Boucher, Magnus Johannesson, R. Weylin Sternglanz, Yiling Chen, Maya B. Mathur, Christian Nunnally, Jonathan Ravid, Charles R. Ebersole, Lauren Skorb, Kurt Schuepfer, Łukasz Markiewicz, Thomas Schultze, Katherine S. Corker, Thomas Pfeiffer, Darko Stojilović, Oliver Christ, Kayla Ashbaugh, Alan Jern, Caio Ambrosio Lage, Filipe Falcão, Austin Lee Nichols, Peter Babincak, Mauro Giacomantonio, Sean C. Rife, Rafał Muda, Lacy E. Krueger, Jeremy K. Miller, Juliette Richetin, Martin Corley, Venus Meyet, W. Matthew Collins, Luana Elayne Cunha de Souza, Lynda A. R. Stein, Christopher Day, Erica Casini, Astrid Schütz, Ann-Kathrin Torka, Anna Dreber, Diane-Jo Bart-Plange, Steffen R. Giessner, Holly Arrow, Przemysław Sawicki, Joachim Hüffmeier, Ian R. Ferguson, Anna Dalla Rosa, Natasha Tidwell, Hause Lin, Matthew R. Penner, Boban Petrović, Bojana Bodroža, Janos Salamon, Josiah P. J. King, Mark Zrubka, Diane B. V. Bonfiglio, Stefan Schulz-Hardt, Emily Fryberger, Gabriel Baník, David Zealley, Amanda M. Kimbrough, Ewa Hałasa, William Jiménez-Leal, Angelo Panno, Karolina Krasuska, Michael Inzlicht, Jack Arnal, Madhavi Menon, Jia E. Loy, Vanessa S. Kolb, Nicholas G. Bloxsom, Michael H. Bernstein, Máire B. Ford, Grecia Kessinger, Marija V. Čolić, Wolf Vanpaemel, Barnabas Szaszi, Carly tocco, Nick Buttrick, Emanuele Preti, Andres Montealegre, Brian A. Nosek, Katarzyna Gawryluk, Kaylis Hase Rudy, Leigh Ann Vaughn, Anna Palinkas, Rúben Silva, Daniel Wolf, Sarah A. Novak, Aaron L. Wichman, Manuela Thomae, Adam Siegel, Ivana Pedović, Eleanor V. Langford, Kathleen Schmidt, Daniel Storage, Attila Szuts, Ljiljana B. Lazarević, Paul G. Curran, Rias A. Hilliard, Alexander Garinther, Joshua K. Hartshorne, Ani N. Shabazian, Tiago Ramos, Peter Szecsi, Hugh Rabagliati, Kimberly P. Parks, Lily Feinberg, Dylan Manfredi, Ivan Ropovik, Katrin Rentzsch, Michelangelo Vianello, Barbara Sioma, Marton Kovacs, Francis Tuerlinckx, Peter J. B. Hancock, Bradford J. Wiggins, Gavin Brent Sullivan, Danka Purić, Laboratoire Inter-universitaire de Psychologie : Personnalité, Cognition, Changement Social (LIP-PC2S), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Department of Organisation and Personnel Management, Human Resource Excellence, Ebersole, C, Mathur, M, Baranski, E, Bart-Plange, D, Buttrick, N, Chartier, C, Corker, K, Corley, M, Hartshorne, J, Ijzerman, H, Lazarević, L, Rabagliati, H, Ropovik, I, Aczel, B, Aeschbach, L, Andrighetto, L, Arnal, J, Arrow, H, Babincak, P, Bakos, B, Baník, G, Baskin, E, Belopavlović, R, Bernstein, M, Białek, M, Bloxsom, N, Bodroža, B, Bonfiglio, D, Boucher, L, Brühlmann, F, Brumbaugh, C, Casini, E, Chen, Y, Chiorri, C, Chopik, W, Christ, O, Ciunci, A, Claypool, H, Coary, S, Čolić, M, Collins, W, Curran, P, Day, C, Dering, B, Dreber, A, Edlund, J, Falcão, F, Fedor, A, Feinberg, L, Ferguson, I, Ford, M, Frank, M, Fryberger, E, Garinther, A, Gawryluk, K, Ashbaugh, K, Giacomantonio, M, Giessner, S, Grahe, J, Guadagno, R, Hałasa, E, Hancock, P, Hilliard, R, Hüffmeier, J, Hughes, S, Idzikowska, K, Inzlicht, M, Jern, A, Jiménez-Leal, W, Johannesson, M, Joy-Gaba, J, Kauff, M, Kellier, D, Kessinger, G, Kidwell, M, Kimbrough, A, King, J, Kolb, V, Kołodziej, S, Kovacs, M, Krasuska, K, Kraus, S, Krueger, L, Kuchno, K, Lage, C, Langford, E, Levitan, C, de Lima, T, Lin, H, Lins, S, Loy, J, Manfredi, D, Markiewicz, Ł, Menon, M, Mercier, B, Metzger, M, Meyet, V, Millen, A, Miller, J, Montealegre, A, Moore, D, Muda, R, Nave, G, Nichols, A, Novak, S, Nunnally, C, Orlić, A, Palinkas, A, Panno, A, Parks, K, Pedović, I, Pękala, E, Penner, M, Pessers, S, Petrović, B, Pfeiffer, T, Pieńkosz, D, Preti, E, Purić, D, Ramos, T, Ravid, J, Razza, T, Rentzsch, K, Richetin, J, Rife, S, Rosa, A, Rudy, K, Salamon, J, Saunders, B, Sawicki, P, Schmidt, K, Schuepfer, K, Schultze, T, Schulz-Hardt, S, Schütz, A, Shabazian, A, Shubella, R, Siegel, A, Silva, R, Sioma, B, Skorb, L, de Souza, L, Steegen, S, Stein, L, Sternglanz, R, Stojilović, D, Storage, D, Sullivan, G, Szaszi, B, Szecsi, P, Szöke, O, Szuts, A, Thomae, M, Tidwell, N, Tocco, C, Torka, A, Tuerlinckx, F, Vanpaemel, W, Vaughn, L, Vianello, M, Viganola, D, Vlachou, M, Walker, R, Weissgerber, S, Wichman, A, Wiggins, B, Wolf, D, Wood, M, Zealley, D, Žeželj, I, Zrubka, M, Nosek, B, and Faculdade de Psicologia e de Ciências da Educação

Subjects
replication, metascience, Registered Reports, biology, media_common.quotation_subject, Curran, 05 social sciences, [SHS.PSY]Humanities and Social Sciences/Psychology, open data, Art history, 050109 social psychology, Art, biology.organism_classification, preregistered, 050105 experimental psychology, Attila, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 0501 psychology and cognitive sciences, reproducibility, [STAT.ME]Statistics [stat]/Methodology [stat.ME], General Psychology, media_common
Abstract

Additional co-authors: Ivan Ropovik, Balazs Aczel, Lena F. Aeschbach, Luca Andrighetto, Jack D. Arnal, Holly Arrow, Peter Babincak, Bence E. Bakos, Gabriel Banik, Ernest Baskin, Radomir Belopavlovic, Michael H. Bernstein, Michal Bialek, Nicholas G. Bloxsom, Bojana Bodroža, Diane B. V. Bonfiglio, Leanne Boucher, Florian Bruhlmann, Claudia C. Brumbaugh, Erica Casini, Yiling Chen, Carlo Chiorri, William J. Chopik, Oliver Christ, Antonia M. Ciunci, Heather M. Claypool, Sean Coary, Marija V. Cˇolic, W. Matthew Collins, Paul G. Curran, Chris R. Day, Anna Dreber, John E. Edlund, Filipe Falcao, Anna Fedor, Lily Feinberg, Ian R. Ferguson, Maire Ford, Michael C. Frank, Emily Fryberger, Alexander Garinther, Katarzyna Gawryluk, Kayla Ashbaugh, Mauro Giacomantonio, Steffen R. Giessner, Jon E. Grahe, Rosanna E. Guadagno, Ewa Halasa, Rias A. Hilliard, Joachim Huffmeier, Sean Hughes, Katarzyna Idzikowska, Michael Inzlicht, Alan Jern, William Jimenez-Leal, Magnus Johannesson, Jennifer A. Joy-Gaba, Mathias Kauff, Danielle J. Kellier, Grecia Kessinger, Mallory C. Kidwell, Amanda M. Kimbrough, Josiah P. J. King, Vanessa S. Kolb, Sabina Kolodziej, Marton Kovacs, Karolina Krasuska, Sue Kraus, Lacy E. Krueger, Katarzyna Kuchno, Caio Ambrosio Lage, Eleanor V. Langford, Carmel A. Levitan, Tiago Jesse Souza de Lima, Hause Lin, Samuel Lins, Jia E. Loy, Dylan Manfredi, Łukasz Markiewicz, Madhavi Menon, Brett Mercier, Mitchell Metzger, Venus Meyet, Jeremy K. Miller, Andres Montealegre, Don A. Moore, Rafal Muda, Gideon Nave, Austin Lee Nichols, Sarah A. Novak, Christian Nunnally, Ana Orlic, Anna Palinkas, Angelo Panno, Kimberly P. Parks, Ivana Pedovic, Emilian Pekala, Matthew R. Penner, Sebastiaan Pessers, Boban Petrovic, Thomas Pfeiffer, Damian Pienkosz, Emanuele Preti, Danka Puric, Tiago Ramos, Jonathan Ravid, Timothy S. Razza, Katrin Rentzsch, Juliette Richetin, Sean C. Rife, Anna Dalla Rosa, Kaylis Hase Rudy, Janos Salamon, Blair Saunders, Przemyslaw Sawicki, Kathleen Schmidt, Kurt Schuepfer, Thomas Schultze, Stefan Schulz-Hardt, Astrid Schutz, Ani N. Shabazian, Rachel L. Shubella, Adam Siegel, Ruben Silva, Barbara Sioma, Lauren Skorb, Luana Elayne Cunha de Souza, Sara Steegen, L. A. R. Stein, R. Weylin Sternglanz, Darko Stojilovic, Daniel Storage, Gavin Brent Sullivan, Barnabas Szaszi, Peter Szecsi, Orsolya Szoke, Attila Szuts, Manuela Thomae, Natasha D. Tidwell, Carly Tocco, Ann-Kathrin Torka, Francis Tuerlinckx, Wolf Vanpaemel, Leigh Ann Vaughn, Michelangelo Vianello, Domenico Viganola, Maria Vlachou, Ryan J. Walker, Sophia C. Weissgerber, Aaron L. Wichman, Bradford J. Wiggins, Daniel Wolf, Michael J. Wood, David Zealley, Iris Žeželj, Mark Zrubka, and Brian A. Nosek

Published
2020
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2. Thinking in a foreign language distorts allocation of cognitive effort: Evidence from reasoning.

Author

Białek M, Muda R, Stewart K, Niszczota P, and Pieńkosz D

Subjects
Humans, Intuition, Logic, Language, Problem Solving
Abstract

Bilinguals, in their foreign language, are spared from several decision-making biases. We examined this "Foreign Language Effect" in the context of logical reasoning, in which reasoners are required to track the logical status of a syllogism, ignoring its believability. Across three experiments, we found the reverse Foreign Language Effect; foreign language reasoners are less able to evaluate the logical structure of syllogisms, but no less biased by their believability. One path to succeeding in reasoning tasks is always engaging in reflective processing. A more efficient strategy is metacognitively tracking whether belief-based intuitions conflict with logic-based intuitions and only reflecting when such conflict is present. We provide evidence that foreign language reasoners are less accurate because they struggle to detect belief-logic conflict, and in turn fail to engage in reflective processing when necessary to override the incorrect, intuitive response. We propose that foreign language reasoners are less able to detect belief-logic conflict either due to weakened intuitions or due to a more conservative threshold for the detection of conflict between multiple competing intuitions. Data for the experiments can be accessed publicly at https://osf.io/phbuq/., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Published
2020
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3. The moral foreign language effect is stable across presentation modalities.

Author

Muda R, Pieńkosz D, Francis KB, and Białek M

Subjects
Acoustic Stimulation, Datasets as Topic, Female, Humans, Male, Photic Stimulation, Reading, Reproducibility of Results, Young Adult, Judgment, Language, Morals
Abstract

People's judgements and decisions often change when made in their foreign language. Existing research testing this foreign language effect has predominantly used text-based stimuli with little research focusing on the impact of listening to audio stimuli on the effect. The only existing study on this topic found shifts in people's moral decisions only in the audio modality. First, by reanalysing the data from this previous study and by collecting data in an additional experiment, we found no consistent effects of using foreign language on moral judgements. Second, in both data sets, we found no significant language by modality interaction. Overall, our results highlight the need for more robust testing of the foreign language effect, and its boundary conditions. However, modality of presentation does not appear to be a candidate for explaining its variability. Data and materials for this experiment are available at https://osf.io/qbjxn/.

Published
2020
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4. Foreign Language does not Affect Gambling-Related Judgments.

Author

Muda R, Walker AC, Pieńkosz D, Fugelsang JA, and Białek M

Subjects
Adult, Awards and Prizes, Choice Behavior, Decision Making, Female, Humans, Male, Probability, Gambling psychology, Judgment, Language, Reward
Abstract

Previous work has demonstrated that peoples' gambling-related judgments (e.g., perceived likelihood of winning) are often biased by non-diagnostic unclaimed prize information (i.e., the number of prizes still available to be won) resulting in non-optimal scratch card preferences. Another line of research suggests that people make less biased decisions (e.g., are less affected by the framing of a gamble) when using a foreign language. In the current study, we investigated whether using a foreign language (as opposed to one's native language) reduced the biasing effects of unclaimed prize information and consequently led to more optimal scratch card preferences. Across three experiments (N = 409), we found that people were equally biased by unclaimed prize information regardless of whether they completed our scratch card gambling task in their native (Polish) or foreign (English) language. In conclusion, it appears that using a foreign language does not help people be less biased in utilizing gambling-related information, and consequently does not lead to more optimal scratch card preferences.

Published
2020
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