Research Article

Registered Replication Report: Study 3 From Trafimow and Hughes (2012)

Sean C. Rife, Quinn Lambert, Robert Calin-Jageman, Matúš Adamkovič, Gabriel Banik, Itxaso Barberia, Jennifer Beaudry, Hanna Bernauer, Dustin Calvillo, William J. Chopik, Louise David, Ismay de Beijer, Thomas Rhys Evans, Andree Hartanto, Pavol Kačmár, Nicole Legate, Marcel Martončik, Karlijn Massar, Simon McCabe, David Moreau, Şevval Osmanoğlu, Asil Ali Özdoğru, Miriam Panning, Maximilian Primbs, John Protzko, Javier Rodríguez-Ferreiro, Jan P. Röer, Ivan Ropovik, Simon Schindler, Willem Sleegers, Gill ten Hoor, Ulrich S. Tran, Hein van Schie, Martin Voracek, and Brady Wiggins

Terror-management theory (TMT) proposes that when people are made aware of their own death, they are more likely to endorse cultural values. TMT is a staple of social psychology, featured prominently in textbooks and the subject of much research. The implications associated with TMT are significant because its advocates claim it can partially explain cultural conflicts, intergroup antagonisms, and even war. However, considerable ambiguity regarding effect size exists, and no preregistered replication of death-thought-accessibility findings exists. Moreover, there is debate regarding the role of time delay between the manipulation of mortality salience and assessment of key measures. We present results from 22 labs in 11 countries (total N = 3,447) attempting to replicate and extend an existing study of TMT, Study 3 from Trafimow and Hughes, and the role of time-delay effects. We successfully replicate Trafimow and Hughes and demonstrate that it is possible to prime death-related thoughts and that priming is more effective when there is no delay between the priming and outcome measure. Implications for future research and TMT are discussed.

Keywords: terror-management theory, replication, preregistration, death-thought accessibility, open data, open materials, preregistered

Citation: Rife, S. C., Lambert, Q., Calin-Jageman, R., Adamkovič, M., Banik, G., Barberia, I., Beaudry, J., Bernauer, H., Calvillo, D., Chopik, W. J.,  David, L., de Beijer, I., Evans, T. R., Hartanto, A., Kačmár, P., Legate, N., Martončik, M., Massar, K., McCabe, S., . . . Wiggins, B. (2025). Registered replication report: Study 3 from Trafimow and Hughes (2012). Advances in Methods and Practices in Psychological Science, 8(2), 1-20. https://doi.org/10.1177/25152459251328334

Kitap Bölümü

Mülteci Çocukların İyi Oluşlarına Yönelik Psikososyal Müdahale Programları

Hanife Büşra Feyizoğlu Doğrusadık ve Asil Ali Özdoğru

Dünya genelinde savaş, afet ve diğer zorunlu sebeplerle yaşanan göçlerden etkilenen grupların başında çocuklar gelmektedir. Göçmen çocukların güvenlik, barınma, sağlık ve eğitim haklarının korunması ile çocuklara ve ailelerine gerekli hizmetlerin sunulması konusunda hem ev sahibi ülkelere hem de uluslararası kuruluşlara önemli görevler düşmektedir. Mültecilere yönelik uygulanan psikososyal destek programlarının mülteci çocuklar ile ailelerinin ruh sağlığı ve iyi oluşlarına olumlu etkileri olabilmektedir. Türkiye, son yıllarda yaşanan yoğun göç hareketleri neticesinde dünyanın en fazla mülteci nüfusuna sahip ülkelerinden biri haline gelmiştir. Bu bölümde, göçün mülteci çocuklar üzerindeki psikolojik ve sosyal etkileri özetlenmektedir. Ayrıca mülteci çocuklara yönelik uygulanan müdahale programlarına ilişkin öne çıkan hususlarla beraber dünyadan ve Türkiye’den örnek programlara yer verilmektedir. Göçün olumsuz etkilerini azaltmak, bireysel ve toplumsal iyi oluşa katkı sunmak için bilimsel kaynaklara dayanan psikososyal destek programlarının nicelik ve niteliklerinin artırılması büyük önem taşımaktadır.

Atıf: Feyizoğlu Doğrusadık, H. B. ve Özdogru, A. A. (2025). Mülteci çocukların iyi oluşlarına yönelik psikososyal müdahale programları. İ. S. Ersoy, M. F. Aysan ve E. Kurğan (Ed.), Küresel göç ve Türkiye içinde (ss. 117-143). Marmara Üniversitesi Yayınevi. http://dx.doi.org/10.29228/MUBooks.4

Kitap Bölümü

Kadının Yaşam Boyu Gelişimi

Asil Ali Özdoğru ve Eda Şen

İnsan gelişimi döllenmeden ölüme kadar süren yaşam boyu bir süreçte gerçekleşir. Bu süreçte insanın biyolojik ve psikolojik gelişimi, farklı gelişim alanlarındaki kazanç, durağanlık ve kaybı içerir. İnsanın fiziksel, bilişsel ve sosyoduygusal gelişim alanlarında farklı gelişim dönemlerinde çeşitli değişim ve dönüşümler ortaya çıkmaktadır. Doğum öncesi, bebeklik, çocukluk, ergenlik ve yetişkinlik dönemlerinin gelişimsel özellik ve örüntüleri farklılıklar arz etmektedir. İnsan gelişiminin iyi bir şekilde anlaşılabilmesi için bu farklı dönem ve alanların yakından incelenmesi gerekir. ...

Atıf: Özdogru, A. A. ve Şen, E. (2025). Kadının yaşam boyu gelişimi. M. Bilici (Ed.), Kadın psikolojisi: Normal ve anormal içinde (ss. 51-76). Gazi Kitabevi.

Research Article

Factors Influencing Trust in Algorithmic Decision-Making: An Indirect Scenario-Based Experiment

Fernando Marmolejo-Ramos, Rebecca Marrone, Malgorzata Korolkiewicz, Florence Gabriel, George Siemens, Srecko Joksimovic, Yuki Yamada, Yuki Mori, Talal Rahwan, Maria Sahakyan, Belona Sonna, Assylbek Meirmanov, Aidos Bolatov, Bidisha Som, Izuchukwu Ndukaihe, Nwadiogo C. Arinze, Josef Kundrát, Lenka Skanderová, Van-Giang Ngo, Giang Nguyen, Michelle Lacia, Chun-Chia Kung, Meiselina Irmayanti, Abdul Muktadir, Fransiska Timoria Samosir, Marco Tullio Liuzza, Roberto Giorgini, Omid Khatin-Zadeh, Hassan Banaruee, Asil Ali Özdoğru, Kris Ariyabuddhiphongs, Wachirawit Rakchai, Natalia Trujillo, Stella Maris Valencia, Armina Janyan, Kiril Kostov, Pedro R. Montoro, Jose Hinojosa, Kelsey Medeiros, Thomas E. Hunt, Julian Posada, Raquel Meister Ko Freitag, and Julian Tejada

Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may help mitigate this distrust. In a study of 1,921 participants from 20 countries, we examined differences in algorithmic trust for low-stakes and high-stakes decisions. Our results suggest that statistical literacy is negatively associated with trust in algorithms for high-stakes situations, while it is positively associated with trust in low-stakes scenarios with high algorithm familiarity. However, explainability did not appear to influence trust in algorithms. We conclude that having statistical literacy enables individuals to critically evaluate the decisions made by algorithms, data and AI, and consider them alongside other factors before making significant life decisions. This ensures that individuals are not solely relying on algorithms that may not fully capture the complexity and nuances of human behavior and decision-making. Therefore, policymakers should consider promoting statistical/AI literacy to address some of the complexities associated with trust in algorithms. This work paves the way for further research, including the triangulation of data with direct observations of user interactions with algorithms or physiological measures to assess trust more accurately.

Keywords: algorithms, data, AI, trust, statistical literacy, explainability

Citation: Marmolejo-Ramos, F., Marrone, R., Korolkiewicz, M., Gabriel, F., Siemens, G., Joksimovic, S., Yamada, Y., Mori, Y., Rahwan, T., Sahakyan, M., Sonna, B., Meirmanov, A., Bolatov, A., Som, B., Ndukaihe, I., Arinze, N. C., Kundrát, J., Skanderová, L., Ngo, V.-G., . . . Tejada, J. (2025). Factors influencing trust in algorithmic decision-making: An indirect scenario-based experiment. Frontiers in Artificial Intelligence, 7, 1465605. https://doi.org/10.3389/frai.2024.1465605

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Research Article

A Worldwide Test of the Predictive Validity of Ideal Partner Preference Matching

Paul W. Eastwick, Jehan Sparks, Eli J. Finkel, Eva M. Meza, Matúš Adamkovič, Peter Adu, Ting Ai, Aderonke A. Akintola, Laith Al-Shawaf, Denisa Apriliawati, Patrícia Arriaga, Benjamin Aubert-Teillaud, Gabriel Baník, Krystian Barzykowski, Carlota Batres, Katherine J. Baucom, Elizabeth Z. Beaulieu, Maciej Behnke, Natalie Butcher, Deborah Y. Charles, Jane Minyan Chen, Jeong Eun Cheon, Phakkanun Chittham, Patrycja Chwiłkowska, Chin Wen Cong, Lee T. Copping, Nadia S. Corral-Frias, Vera Ćubela Adorić, Mikaela Dizon, Hongfei Du, Michael I. Ehinmowo, Daniela A. Escribano, Natalia M. Espinosa, Francisca Expósito, Gilad Feldman, Raquel Freitag, Martha Frias Armenta, Albina Gallyamova, Omri Gillath, Biljana Gjoneska, Theofilos Gkinopoulos, Franca Grafe, Dmitry Grigoryev, Agata Groyecka-Bernard, Gul Gunaydin, Ruby Ilustrisimo, Emily Impett, Pavol Kačmár, Young-Hoon Kim, Mirosław Kocur, Marta Kowal, Maatangi Krishna, Paul Danielle Labor, Jackson G. Lu, Marc Y. Lucas, Wojciech P. Małecki, Klara Malinakova, Sofia Meißner, Zdeněk Meier, Michal Misiak, Amy Muise, Lukas Novak, Jiaqing O, Asil A. Özdoğru, Haeyoung Gideon Park, Mariola Paruzel, Zoran Pavlović, Marcell Püski, Gianni Ribeiro, S. Craig Roberts, Jan P. Röer, Ivan Ropovik, Robert M. Ross, Ezgi Sakman, Cristina E. Salvador, Emre Selcuk, Shayna Skakoon-Sparling, Agnieszka Sorokowska, Piotr Sorokowski, Ognen Spasovski, Sarah C. E. Stanton, Suzanne L. K. Stewart, Viren Swami, Barnabas Szaszi, Kaito Takashima, Peter Tavel, Julian Tejada, Eric Tu, Jarno Tuominen, David Vaidis, Zahir Vally, Leigh Ann Vaughn, Laura Villanueva-Moya, Dian Wisnuwardhani, Yuki Yamada, Fumiya Yonemitsu, Radka Žídková, Kristýna Živná, and Nicholas A. Coles

Ideal partner preferences (i.e., ratings of the desirability of attributes like attractiveness or intelligence) are the source of numerous foundational findings in the interdisciplinary literature on human mating. Recently, research on the predictive validity of ideal partner preference matching (i.e., Do people positively evaluate partners who match vs. mismatch their ideals?) has become mired in several problems. First, articles exhibit discrepant analytic and reporting practices. Second, different findings emerge across laboratories worldwide, perhaps because they sample different relationship contexts and/or populations. This registered report—partnered with the Psychological Science Accelerator—uses a highly powered design (N = 10,358) across 43 countries and 22 languages to estimate preference-matching effect sizes. The most rigorous tests revealed significant preference-matching effects in the whole sample and for partnered and single participants separately. The “corrected pattern metric” that collapses across 35 traits revealed a zero-order effect of β = .19 and an effect of β = .11 when included alongside a normative preference-matching metric. Specific traits in the “level metric” (interaction) tests revealed very small (average β = .04) effects. Effect sizes were similar for partnered participants who reported ideals before entering a relationship, and there was no consistent evidence that individual differences moderated any effects. Comparisons between stated and revealed preferences shed light on gender differences and similarities: For attractiveness, men’s and (especially) women’s stated preferences underestimated revealed preferences (i.e., they thought attractiveness was less important than it actually was). For earning potential, men’s stated preferences underestimated—and women’s stated preferences overestimated—revealed preferences. Implications for the literature on human mating are discussed.

Keywords: attraction, close relationships, human mating, ideals, matching hypothesis

Citation: Eastwick, P. W., Sparks, J., Finkel, E. J., Meza, E. M., Adamkovič, M., Adu, P., Ai, T., Akintola, A. A., Al-Shawaf, L., Apriliawati, D., Arriaga, P., Aubert-Teillaud, B., Baník, G., Barzykowski, K., Batres, C., Baucom, K. J., Beaulieu, E. Z., Behnke, M., Butcher, N., . . . Coles, N. A. (2025). A worldwide test of the predictive validity of ideal partner preference matching. Journal of Personality and Social Psychology, 128(1), 123–146. https://doi.org/10.1037/pspp0000524

Research Article

Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication of Turri et al. (2015)

Braeden Hall, Kathleen Schmidt, Jordan Wagge, Savannah C. Lewis, Sophia C. Weissgerber, Felix Kiunke, Gerit Pfuhl, Stefan Stieger, Ulrich S. Tran, Krystian Barzykowski, Natalia Bogatyreva, Marta Kowal, KarlIJn Massar, Felizitas Pernerstofer, Piotr Sorokowski, Martin Voracek, Christopher R. Chartier, Mark J. Brandt, Jon E. Grahe, Asil A. Özdoğru, Michael R. Andreychik, Sau-Chin Chen, Thomas R. Evans, Caro Hautekiet, Hans IJzerman, Pavol Kačmár, Anthony J. Krafnick, Erica D. Musser, Evie Vergauwe, Kaitlyn M. Werner, Balazs Aczel, Patrícia Arriaga, Carlota Batres, Jennifer L. Beaudry, Florian Cova, Simona Ďurbisová, Leslie D. Cramblet Alvarez, Gilad Feldman, Hendrik Godbersen, Jaroslav Gottfried, Gerald J. Haeffel, Andree Hartanto, Chris Isloi, Joseph P. McFall, Marina Milyavskaya, David Moreau, Ester Nosáľová, Kostas Papaioannou, Susana Ruiz-Fernandez, Jana Schrötter, Daniel Storage, Kevin Vezirian, Leonhard Volz, Yanna J. Weisberg, Qinyu Xiao, Dana Awlia, Hannah W. Branit, Megan R. Dunn, Agata Groyecka-Bernard, Ricky Haneda, Julita Kielinska, Caroline Kolle, Paweł Lubomski, Alexys M. Miller, Martin J. Mækelæ, Mytro Pantazi, Rafael R. Ribeiro, Robert M. Ross, Agnieszka Sorokowska, Christopher L. Aberson, Xanthippi Alexi Vassiliou, Bradley J. Baker, Miklos Bognar, Chin Wen Cong, Alex F. Danvers, William E. Davis, Vilius Dranseika, Andrei Dumbravă, Harry Farmer, Andy P. Field, Patrick S. Forscher, Aurélien Graton, Nandor Hajdu, Peter A. Howlett, Radosław Kabut, Emmett M. Larsen, Sean T. H. Lee, Nicole Legate, Carmel A. Levitan, Neil Levy, Jackson G. Lu, Michał Misiak, Roxana E. Morariu, Jennifer Novak, Ekaterina Pronizius, Irina Prusova, Athulya S. Rathnayake, Marina O. Romanova, Jan P. Röer, Waldir M. Sampaio, Christoph Schild, Michael Schulte-Mecklenbeck, Ian D. Stephen, Peter Szecsi, Elizabeth Takacs, Julia N. Teeter, Elian H. Thiele-Evans, Julia Valeiro-Paterlini, Iris Vilares, Louise Villafana, Ke Wang, Raymond Wu, Sara Álvarez-Solas, Hannah Moshontz, and Erin M. Buchanan

According to the justified true belief (JTB) account of knowledge, people can truly know something only if they have a belief that is both justified and true (i.e., knowledge is JTB). This account was challenged by Gettier, who argued that JTB does not explain knowledge attributions in certain situations, later called “Gettier-type cases,” wherein protagonists are justified in believing something to be true, but their belief was correct only because of luck. Laypeople may not attribute knowledge to protagonists with justified but only luckily true beliefs. Although some research has found evidence for these so-called Gettier intuitions, Turri et al. found no evidence that participants attributed knowledge in a counterfeit-object Gettier-type case differently than in a matched case of JTB. In a large-scale, cross-cultural conceptual replication of Turri and colleagues’ Experiment 1 (N = 4,724) using a within-participants design and three vignettes across 19 geopolitical regions, we did find evidence for Gettier intuitions; participants were 1.86 times more likely to attribute knowledge to protagonists in standard cases of JTB than to protagonists in Gettier-type cases. These results suggest that Gettier intuitions may be detectable across different scenarios and cultural contexts. However, the size of the Gettier intuition effect did vary by vignette, and the Turri et al. vignette produced the smallest effect, which was similar in size to that observed in the original study. Differences across vignettes suggest that epistemic intuitions may also depend on contextual factors unrelated to the criteria of knowledge, such as the characteristics of the protagonist being evaluated.

Keywords: folk epistemology, beliefs, social cognition, epistemic intuitions, justified true belief, multilevel modeling, multilab, replication

Citation: Hall, B., Schmidt, K., Wagge, J., Lewis, S. C., Weissgerber, S. C., Kiunke, F., Pfuhl, G., Stieger, S., Tran, U. S., Barzykowski, K., Bogatyreva, N., Kowal, M., Massar, K., Pernerstofer, F., Sorokowski, P., Voracek, M., Chartier, C. R., Brandt, M. J., Grahe, J. E., . . . Buchanan, E. M. (2024). Registered replication report: A large multilab cross-cultural conceptual replication of Turri et al. (2015). Advances in Methods and Practices in Psychological Science, 7(4), 1-38. https://doi.org/10.1177/25152459241267902