I checked 15 psychology journals on Saturday, November 08, 2025 using the Crossref API. For the period November 01 to November 07, I found 110 new paper(s) in 13 journal(s).

Advances in Methods and Practices in Psychological Science

A Tutorial on Distribution-Free Uncertainty Quantification Using Conformal Prediction
Tim Kaiser, Philipp Herzog
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Statistical prediction models are ubiquitous in psychological research and practice. Increasingly, machine-learning models are used. Quantifying the uncertainty of such predictions is rarely considered, partly because prediction intervals are not defined for many of the algorithms used. However, generating and reporting prediction models without information on the uncertainty of the predictions carries the risk of overinterpreting their accuracy. Conventional methods for prediction intervals (e.g., those defined for ordinary least squares regression) are sensitive to violations of several distributional assumptions. In this tutorial, we introduce conformal prediction, a model-agnostic, distribution-free method for generating prediction intervals with guaranteed marginal coverage, to psychological research. We start by introducing the basic rationale of prediction intervals using a motivating example. Then, we proceed to conformal prediction, which is illustrated in three increasingly complex examples using publicly available data and R code.
Do Musicians Have Better Short-Term Memory Than Nonmusicians? A Multilab Study
Massimo Grassi, Francesca Talamini, Gianmarco AltoĂš, Elvira Brattico, Anne Caclin, Barbara Carretti, VĂ©ronique Drai-Zerbib, Laura Ferreri, Filippo Gambarota, Jessica Grahn, Lucrezia Guiotto Nai Fovino, Marco Roccato, Antoni Rodriguez-Fornells, Swathi Swaminathan, Barbara Tillmann, Peter Vuust, Jonathan Wilbiks, Marcel Zentner, Karla Aguilar, Christ B. Aryanto, Frederico C. Assis Leite, AĂ­ssa M. BaldĂ©, Deniz Baßkent, Laura Bishop, Graziela Kalsi, Fleur L. Bouwer, Axelle Calcus, Giulio Carraturo, Victor Cepero-Escribano, Antonia Čerič, Antonio Criscuolo, LĂ©o Dairain, Simone Dalla Bella, Oscar Daniel, Anne Danielsen, Anne-Isabelle de Parcevaux, Delphine Dellacherie, Tor Endestad, Juliana L. d. B. Fialho, Caitlin Fitzpatrick, Anna Fiveash, Juliette Fortier, Noah R. Fram, Eleonora Fullone, Stefanie Gloggengießer, Lucia Gonzalez Sanchez, Reyna L. Gordon, Mathilde Groussard, Assal Habibi, Heidi M. U. Hansen, Eleanor E. Harding, Kirsty Hawkins, Steffen A. Herff, Veikka P. Holma, Kelly Jakubowski, Maria G. Jol, Aarushi Kalsi, Veronica Kandro, Rosaliina Kelo, Sonja A. Kotz, Gangothri S. Ladegam, Bruno Laeng, AndrĂ© Lee, Miriam Lense, CĂ©sar F. Lima, Simon P. Limmer, Chengran K. Liu, Paulina d. C. MartĂ­n SĂĄnchez, Langley McEntyre, Jessica P. Michael, Daniel Mirman, Daniel MĂŒllensiefen, Niloufar Najafi, Jaakko Nokkala, Ndassi Nzonlang, Maria Gabriela M. Oliveira, Katie Overy, Andrew J. Oxenham, Edoardo Passarotto, Marie-Elisabeth Plasse, Herve Platel, Alice Poissonnier, Neha Rajappa, Michaela Ritchie, Italo Ramon Rodrigues Menezes, Rafael RomĂĄn-Caballero, Paula Roncaglia, Farrah Y. Sa’adullah, Suvi Saarikallio, Daniela Sammler, SĂ©verine Samson, E. G. Schellenberg, Nora R. Serres, L. R. Slevc, Ragnya-Norasoa Souffiane, Florian J. Strauch, Hannah Strauss, Nicholas Tantengco, Mari Tervaniemi, Rachel Thompson, Renee Timmers, Petri Toiviainen, Laurel J. Trainor, Clara Tuske, Jed Villanueva, Claudia C. von Bastian, Kelly L. Whiteford, Emily A. Wood, Florian Worschech, Ana Zappa
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Musicians are often regarded as a positive example of brain plasticity and associated cognitive benefits. This emerges when experienced musicians (e.g., musicians with more than 10 years of music training and practice) are compared with nonmusicians. A frequently observed behavioral finding is a short-term memory advantage of the former over the latter. Although available meta-analysis reported that the effect size of this advantage is medium (Hedges’s g = 0.5), no literature study was adequately powered to estimate reliably an effect of such size. This multilab study has been ideated, realized, and conducted in lab by several groups that have been working on this topic. Our ultimate goal was to provide a community-driven shared and reliable estimate of the musicians’ short-term memory advantage (if any) and set a method and a standard for future studies in neuroscience and psychology comparing musicians and nonmusicians. Thirty-three research units recruited a total of 600 experienced musicians and 600 nonmusicians, a number that is sufficiently large to estimate a small effect size (Hedges’s g = 0.3) with a high statistical power (i.e., 95%). Subsequently, we measured the difference in short-term memory for musical, verbal, and visuospatial stimuli. We also looked at cognitive, personality, and socioeconomic factors that might mediate the difference. Musicians had better short-term memory than nonmusicians for musical, verbal, and visuospatial stimuli with an effect size of, respectively, Hedges’s g s = 1.08 (95% confidence interval [CI] = [0.94, 1.22]; large), 0.16 (95% CI = [0.02 0.30]; very small), and 0.28 (95% CI = [0.15, 0.41]; small). This work sets the basis for sound research practices in studies comparing musicians and nonmusicians and contributes to the ongoing debate on the possible cognitive benefits of musical training.

Behavior Research Methods

Bridging numerical and verbal probabilities: Construction and application of the Chinese Lexicon of Verbal Probability
Xiao-Yang Sui, Jia-Wen Niu, Xiaoqian Liu, Li-Lin Rao
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Continuous Rating Scale Analytics (CoRSA): A tool for analyzing continuous and discrete data with item response theory
Yeh-Tai Chou, Yao-Ting Sung, Wei-Hung Yang
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The use of continuous rating scales such as the visual analogue scale (VAS) in research has increased, yet they are less popular than discrete scales like the Likert scale. The non-popularity of continuous scales is primarily due to the lack of validated analytical tools and user-friendly interfaces, which have also jointly resulted in a lack of sufficient theoretical and empirical research supporting confidence in using continuous rating formats. This research aims to address these gaps through four studies. The first study proposed an algorithm and developed the Continuous Rating Scale Analytics (CoRSA) to estimate parameters for the continuous rating scale model (MĂŒller, Psychometrika , 52 , 165–181, 1987). The second study evaluated CoRSA’s efficacy in analyzing continuous scores compared to pcIRT (Hohensinn, Journal of Statistical Software , 84 , 1–14, 2018) and discrete scores against ConQuest (Adams et al., 2020). Results showed superior parameter recovery with CoRSA for continuous data and comparable outcomes for discrete data. The third study analyzed empirical data from career interest and work value assessments using both VAS and Likert scales with CoRSA, demonstrating good model-data fit and validating CoRSA’s effectiveness in rescaling data to interval measurements. Finally, the fourth study integrated CoRSA into the VAS-RRP 2.0 platform (Sung & Wu, Behavior Research Methods , 50 , 1694–1715, 2018) to enhance accessibility and usability, allowing researchers and practitioners unfamiliar with statistical procedures to easily analyze continuous data. These findings confirm CoRSA as a valid tool for analyzing both continuous and discrete data, enhancing the utility of continuous rating formats in diverse research contexts.
Joint modeling with generalized item response theory model family and response time model: Enhancing model structural flexibility and data-fitting adequacy
Jing Lu, Xue Wang, Jiwei Zhang
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A drift-diffusion model of temporal generalization outperforms existing models and captures modality differences and learning effects
Nir Ofir, Ayelet N. Landau
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Multiple systems in the brain track the passage of time and can adapt their activity to temporal requirements. While the neural implementation of timing varies widely between neural substrates and behavioral tasks, at the algorithmic level, many of these behaviors can be described using drift-diffusion models of decision-making. In this work, wedevelop a drift-diffusion model to fit performance in the temporal generalization task, in which participants are required to categorize an interval as being the same or different compared to a standard, or reference, duration. The model includes a drift-diffusion process which starts with interval onset, representing the internal estimate of elapsed duration, and two boundaries. If the drift-diffusion process at interval offset is between the boundaries, the interval is categorized as equal to the standard. If it is below the lower boundary or above the upper boundary, the interval is categorized as different. This model outperformed previous models in fitting the data of single participants and in parameter recovery analyses. We also used the drift-diffusion model to analyze data from two experiments, one comparing performance between vision and audition and another examining the effect of learning. We found that decision boundaries can be modified independently: While the upper boundary was higher in vision than in audition, the lower boundary decreased with learning in the task. In both experiments, timing noise was positively correlated with upper boundaries across participants, which reflects an accuracy-maximizing strategy in the task.
Publisher Correction: A systematic review of latent class analysis in psychology: Examining the gap between guidelines and research practice
Angela Sorgente, Rossella Caliciuri, Matteo Robba, Margherita Lanz, Bruno D. Zumbo
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A tutorial on fine-tuning pretrained language models: Applications in social and behavioral science research
Yu Wang, Wen Qu
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Autoscribe: An automated tool for creating transcribed TextGrids from audio-recorded conversations
Tyson S. Barrett, Camille J. Wynn, Lotte Eijk, Katerina A. Tetzloff, Stephanie A. Borrie
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One major difficulty in conversational research is the time required to segment and transcribe conversational recordings. While recent advances have improved automatic speech recognition technologies, one limitation of current tools is that they are generally catered toward speech that occurs in monologues rather than conversation. Accordingly, the purpose of this project was to develop and validate an automated user-friendly tool for transcribing conversations. This tool, called Autoscribe, converts dyadic conversational audio recordings into Praat TextGrids with time-aligned turn boundaries between speech and non-speech segments and transcripts of all spoken dialogue output. Here we describe the development of this tool as well as its validation on two conversational corpora. Results showed that Autoscribe decreased the amount of active working time needed for TextGrid creation by over 70%. Average transcription accuracy was 92% and average utterance boundary placement of 95%. Thus, Autoscribe affords a practical research tool that drastically reduces the time and resource intensitivity needed for conversational segmentation and transcription.

Computers in Human Behavior

Generic title: Not a research article
Corrigendum to ‘Unresponsive or un-noticed?: Cyberbystander intervention in an experimental cyberbullying context’ [Computers in Human Behavior 45C (2015) 144–150]
Kelly P. Dillon, Brad J. Bushman
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Generic title: Not a research article
Corrigendum to ‘Can online behaviors be linked to mental health? Active versus passive social network usage on depression via envy and self-esteem’ [Computers in Human Behavior 162C (2025) 108455]
Nhan Duc Nguyen, Ngoc-Anh Truong, Pham Quang Dao, Huan Hong Nguyen
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Improving online anti-phishing training using cognitive large language models
Tailia Malloy, Fei Fang, Cleotilde Gonzalez
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Both AI-generated and Human Influencers Can Correct Misinformation: Investigating the Effectiveness of Corrections for Polarized and Non-Polarized Issues
Christian von Sikorski, Pascal Merz, Raffael Heiss, Michaela Bassler, Clara Buyny, Svenja Hildebrand, Christoph Streller, Evelyn Wicki
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Advancing understanding of the role of the family media ecology on child anxiety and depression in middle childhood: What matters most?
Rachel Eirich, Brae Anne McArthur, Audrey-Ann Deneault, Suzanne Tough, Sheri Madigan
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Rest assured: the influence of chatbots’ assurance statements and service outcome personalization on user data management
Joseph Ollier, Marcia Nißen, Florian von Wangenheim
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How do users contribute to YouTube channels’ revenue? An empirical analysis of Korean beauty channels
Sewon Eom, Jaeyoung Park, Eugene Choi, Jinho Park, Seongcheol Kim
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From icons to identity: Understanding graphicons as tools for self-representation
Yoonvin Park, Daeho Lee, Jungwoo Shin, Jungmin Choi
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Impact of mindset types and social community compositions on opinion dynamics: A large language model-based multi-agent simulation study
Guozhu Ding, Zuer Liu, Shan Li, Jie Cao, Zhuohai Ye
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Impact of virtual reality and video backgrounds on mental health in digital meditation
Sumin Shin, Juwon Hwang, Asya Cooley, Skye Cooley, Shahariar Nobel, Ralph Dinko, Jungyu Lee
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When does waiting for a reply turn into ghosting? Individual, relational, and situational predictors of feeling ignored in online messaging
Christiane M. BĂŒttner, Sarah Lutz
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Explaining the use of AI chatbots as context alignment: Motivations behind the use of AI chatbots across contexts and culture
Sebastian Scherr, Bolin Cao, Li Crystal Jiang, Tetsuro Kobayashi
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From efficiency to immersion: understanding generational differences in avatar interactions
Shashank Singh Pawar, Anubhav A. Mishra
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Personality traits, friendship development patterns, perceived similarity, and well-being in mobile gaming communities
Shu Ching Yang, Yi-Fang Luo, Tzu-Yu Shao, Chih-Ting Chang
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Knowledge types and cognitive processing modes associated with online news credibility assessment: An interview study
Nicolae Nistor, Benedikt Artmann, Dilara Isik, Nora Neziri, Dorin Stanciu
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Virtual or human influencers as endorsers? Behavioral and EEG evidence of how influencer type affects purchase intention of new products
Qingxi Yao, Yunli Liu, Bin Hu, Jia Jin
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Introduction of the AI-Interaction Positivity Scale and its relations to satisfaction with life and trust in ChatGPT
Christian Montag, Jon D. Elhai
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Does algorithmic recommendation complement or substitute advertising and influencers? Consumer attitudes toward recommendation information and the formation of purchase intentions
Tetsuya Aoki, Ayako Matsui
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Exploring approachability in social virtual reality: Scaffolding social translucence
Katharina Burger
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The influence of persona and conversational task on social interactions with a LLM-controlled embodied conversational agent
Leon O.H. Kroczek, Alexander May, Selina Hettenkofer, Andreas Ruider, Bernd Ludwig, Andreas MĂŒhlberger
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More than pixels: Why relationships, not just content, keep users in virtual worlds
Maria Kalyvaki
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How dormant ties are reactivated through social media during major life events
Yizhang Zhao, Wei Bai, Tianyu Qiao, Weidong Wang
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Presence and empathy as mediators between immersion and prosocial intentions in primary school children
Chia-Hui Pan, Meng-Jung Liu, Le-Yin Ma, Hsueh-Chih Chen
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Does non-humanlike avatar more attractive? The impacts of avatar types on metaverse satisfaction and participation
Kang Lin, Shuiqing Yang, Daoyou Wu, Yu Guo
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Exploring the motivational drivers of extended reality (XR) sports and fitness gameplay intentions
Chantel Muller, Jackie Bonnema
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Time versus timing in social cognition: How concurrent viewer cues and plot-aligned Danmaku affect narrative outcomes on online video platforms
Xinzhi Zhang, Hye Kyung Kim, Shuhua Zhou
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Enhancing user satisfaction in the reporting of online sexual harassment on social media: The role of anthropomorphic design in mitigating negative emotions and building trust
Yuying Tan, Sara Pabian, Heidi Vandebosch, Karolien Poels
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When online review is not enough? Adoption of cryptocurrencies through the lenses of NCA and fsQCA
Duơan Mladenović, Mikhail Monashev, Michal Jirásek, Roberto Bruni
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How do source evaluation criteria develop? A microgenetic study of growth of epistemic ideals
Sarit Barzilai, Clark A. Chinn
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Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions
Anne Reinhardt, Jörg Matthes, Ljubisa Bojic, Helle T. Maindal, Corina Paraschiv, Knud Ryom
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Hotbed of stigmatization or source of support: A multimodal analysis of mental health-related videos on Douyin
Peiying Wu, Sheng Zou, Changfeng Chen, Yunya Song
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Balancing human and machine coding: Evaluating the credibility and potential of topic modeling for open-ended survey responses
Yukiko Maeda, Xiyu Wang, Yuxiao Zhang, Josiah Bansueda Banks, Rachael H. Kenney
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Who watches porn? Demographic insights from web tracking data
Alberto Martinez-Serra, Ana Sofia Cardenal
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Predicting online group opinions: A hypergraph-enhanced structure deep clustering with LSTM
Jiayu Liu, Qingsheng Liu, He Li, Wang Shen, Yongqiang Sun, Lu Yu, Linlin Zhu, Qianru Shi
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The use and impact of digital interventions on mental health and wellbeing of forced migrants: A systematic review of empirical studies
Davy Tsz Kit Ng, Chenguang Du, Kason Ka Ching Cheung, Nora McIntyre
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The role of trust as the facilitator and contingency factor in the adoption of digital healthcare services: A telemedicine context
Phatthira Wissawaswaengsuk, Prashant Kumar, Björn Frank, Yuosre F. Badir
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Psychological consequences of school mobile phone bans: Emulated trial of a natural experiment in South Australia
Stéphanie Baggio, Tracey Wade, Marcela Radunz, Christina R. Galanis, Joël Billieux, Vladan Starcevic, Blake Quinney, Daniel L. King
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Do cognitive assessment games leave infrequent video game players behind? Evaluating frequent and infrequent players’ gaming experience and data quality
Benny Markovitch, Jonas C.C. Kamps, Panos Markopoulos, Max V. Birk
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Gosh! It is truly happening to me: Embodying adverse health outcomes through immersive virtual reality to promote perceived risk and healthy behaviors
Dai-Yun Wu, Jih-Hsuan Tammy Lin
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Retraction notice to “An optimal approach for predicting cognitive performance in education based on deep learning” [Computers in Human Behavior 167 (2025) 108607]
Deming Li, Nie Tang, Meredith Chandler, Emilio Nanni
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Sounds good, doesn't work - an experimental study on the dynamic development of trust in digital systems under inconsistent information about developer reputation and system errors
Benedikt Graf
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How warm-versus competent-toned AI apologies affect trust and forgiveness through emotions and perceived sincerity
Joon Soo Lim, Nalae Hong, Erika Schneider
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Uncovering vulnerability to fraud and scams among adult victims in online and offline contexts: A systematic review
Chiara Barbara DadĂ , Laura Colautti, Alessia Rosi, Elena Cavallini, Alessandro Antonietti, Paola Iannello
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The phantom pain of ghosting: Multi-Day experiments comparing the reactions to ghosting and rejection
Alessia Telari, Luca Pancani, Paolo Riva
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From similarity to multiplicity: Avatar multi-persona tendencies and cognitive responses in the Metaverse
Yunwoo Choi, Changjun Lee
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“It's not that serious”: Individual and situational factors that influence perceptions of online versus in-person sexual coercion
Jessie Swanek, Vasileia Karasavva, Lauren Brunet, Roshni Sohail, Adelle Forth
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Gaming together, feeling better—or feeling worse? How social video gaming impacts loneliness and depressive mood differently for boys and girls
David Lacko, Filip KyslĂ­k, David Smahel, Hana Machackova
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Group Processes & Intergroup Relations

Comparing White and Black athlete racial activism: Examining NFL and NBA players’ choice of social justice uniform messages
Jennifer L. Howell, Kate A. Ratliff, Colin Tucker Smith
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Black racial justice activists often report that White activists engage in more tepid activism that fails to directly point out systemic racism. We examined whether this trend manifested in professional athletes’ decisions regarding social justice messages they display on their uniforms. We tested whether the helmet decal (NFL) and jersey slogan (NBA) choices made by athletes as they participated in league-wide uniform modifications to promote social justice differed as a function of player race. We found that White NFL players were less likely than Black NFL players to choose specific victim names (e.g., “Breonna Taylor”), were more likely to choose generic phrases de-emphasizing racism (e.g., “It Takes All of Us”), and were less likely to choose generic phrases highlighting racism (e.g., “End Racism”). Similarly, White NBA players were more likely than Black NBA players to choose phrases that de-emphasized racism (e.g., “Peace”), and less likely to choose those that emphasized racism (e.g., “Antiracist”).

Journal of Experimental Social Psychology

The link between social categorization and spontaneous social evaluations: A matter of the evaluative implications of the situation?
Manuel Becker, Sarah Teige-Mocigemba, Jeffrey W. Sherman, Karl Christoph Klauer
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Refusing to forgive can have psychological benefits
Blake Quinney, Elena Zubielevitch, Tyler G. Okimoto
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Effects of awe on self-transcendence: A registered report study
Chenxiao Zhao, Marret K. Noordewier, Michiel van Elk
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Ostracism and opinion extremization
Emma Halfmann, Christoph Kenntemich, Selma C. Rudert, Jan A. HĂ€usser
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Self-anchoring toward groups shapes changes in intergroup attitudes during intergroup interactions
Yatian Lei, Fangfang Wen, Bin Zuo
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Power as a moral magnifier: Moral outrage is amplified when the powerful transgress
Rachel C. Forbes, Robb Willer, Jennifer E. Stellar
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What types of gratitude expressions promote prosocial behavior?: A registered report
Anurada U. Amarasekera, Kelton L. Travis, Kristina K. Castaneto, Tiara A. Cash, Lara B. Aknin
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Too much information? A systematic investigation of the antecedents and consequences of ambivalence-induced information seeking behavior
Benjamin Buttlar, Anna Lambrich, Linda McCaughey, Iris K. Schneider
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Using two-sided messages to facilitate misinformation correction for strongly held beliefs
Mengran Xu, Richard E. Petty
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When allies join the fight: How joint collective action shapes social change and intergroup relations
Feiteng Long, Zi Ye, Lijuan Luo
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Status- and foreignness-based discrimination experiences shape feelings of similarity among people of color
Linda X. Zou, Samuel Ngum
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Social identity complexity mitigates outgroup derogation in moral judgment
Trystan Loustau, Helen Padilla Fong, Liane Young
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Why do some people refuse to compromise their positions on politicized practices? The role of need for closure
Namrata Goyal, Krishna Savani, Michael W. Morris
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Norm-enhanced prebunking for actively open-minded thinking indirectly improves misinformation discernment and reduces conspiracy beliefs
Mikey Biddlestone, Carolin-Theresa Ziemer, Rakoen Maertens, Jon Roozenbeek, Sander van der Linden
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The do-gooder dilemma: A self/other asymmetry in the perceived emotional costs of self-reporting good deeds
Jerry Richardson, Paul Bloom, Shaun Nichols, David Pizarro
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Testing “quarantined” metarepresentational accounts of Theory of Mind: Are we biased by others' false beliefs?
Steven Samuel, Robert Lurz, Daizi Davies, Harry Axtell, Sarah K. Salo
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Evaluative conditioning with multiple unconditioned stimuli – Integration at judgment?
Florian Weber, Hans Alves, Tobias Vogel, Moritz Ingendahl
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The evolved psychology of mate preferences: Sexual desire underlies the prioritization of attractiveness in long-term partners
Sierra D. Peters, Jon K. Maner, Andrea L. Meltzer
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Face perception in context: Allocentric distance in perceptions of facial gender
Spencer Dobbs, Lindsay Goolsby, Wesley Mysinger, Max Weisbuch
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Are you still one of us? When living abroad undermines perceived home country identification and trust from compatriots
Zhu Feng, Jin Wook Chang, Daniel A. Newark
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Does protection come at a cost? A random stimuli approach to investigating the (side-)effects of misinformation inoculations
Teodora Spiridonova, Olga Stavrova, Ilja van Beest
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Privileged origins taint perceived authenticity
Lan Anh N. Ton, Rosanna K. Smith, Ernest Baskin
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Nice to meet you.(!) Gendered norms in punctuation usage
Yidan Yin, Gil Appel, Cheryl Jan Wakslak
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On the relation between boredom and social behavior: A registered report
Thekla MĂŒller-Boysen, Sergio Pirla, Stefan Pfattheicher
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The importance of feeling above-average morally versus agentically
Yujing Liang, Sara D. Hodges, Vera Hoorens
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Change, yes ‘we’ can: Protesting for (ingroup) and against (outgroup) change under conditions of threatened personal control
Johannes Michael Lautenbacher, Immo Fritsche, Tina-Marie Hoke, Wanda Eckert
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Common ingroup meta-identification: A meta-perception perspective to dynamically promote intergroup attitudes in status asymmetry contexts
Wenlin Ke, Fangfang Wen, Bin Zuo
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Maybe don't say “maybe”: How and why invitees fail to realize that they should not respond to invitations with a “maybe”
Julian Givi, Colleen P. Kirk, Daniel M. Grossman, Constantine Sedikides
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Group and personal rejection are similarly linked to extreme intergroup attitudes
Luis Marcos-Vidal, Boryana Todorova, Scott Atran, Clara Pretus
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Journal of Personality and Social Psychology

He sees the forest, I see the trees: Narrative perspective shifts how abstractly people construe a text.
Zachary Adolph Niese
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Low self-esteem as a risk factor for depression: A longitudinal study with continuous time modeling.
Jasmin A. Aebi, Ulrich Orth
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What explains personality change intervention effects?
Michael D. KrÀmer, Christopher J. Hopwood, Travis J. Miller, Wiebke Bleidorn
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The minority-groups homogeneity effect: Seeing members of different minority groups as more similar to each other than members of the majority.
Stephanie J. Tepper, Thomas Gilovich
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Moral absolutism drives support for bans: Unpacking ideological differences in the moral philosophies of conservatives and liberals.
Namrata Goyal, Lorenzo De Gregori, Yuqi Liu, Krishna Savani
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Linking person-specific network parameters to between-person trait change.
Adam T. Nissen, Emorie D. Beck
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Ostracism in everyday life: A framework of threat and behavioral responses in real life.
Christiane M. BĂŒttner, Dongning Ren, Olga Stavrova, Selma C. Rudert, Kipling D. Williams, Rainer Greifeneder
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Beyond hypothetical trolleys: Moral choices and motivations in a real-life sacrificial dilemma.
Dries H. Bostyn, Marie-Céline Gouwy, Elias De Craene, Caro Vanmechelen, Joyce Scheirlinckx, Tassilo T. Tissot, Ruben Van Severen, Daphne van den Bogaard, Milena Waterschoot, Fien Geenen, Hilde Depauw, Jakke Coenye, Juliette Taquet, Xinyi Xu, Kim Dierckx, Stefaan Van Damme, Alain Van Hiel, Arne Roets
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Words don’t come easy: How lexical difficulty of items and vocabulary of subjects (not) affect personality assessment.
Elisa Altgassen, Catherine Schittenhelm, Oliver Wilhelm
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Pluralistic ignorance of stigma impedes take-up of welfare benefits.
Alice Lee-Yoon, Sherry J. Wu, Jason C. Chin, Heather M. Caruso, Eugene M. Caruso
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Politically extreme individuals exhibit similar neural processing despite ideological differences.
Daantje de Bruin, Oriel FeldmanHall
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Multivariate Behavioral Research

Detecting Model Misfit in Structural Equation Modeling with Machine Learning—A Proof of Concept
Melanie Viola Partsch, David Goretzko
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The Effects of Data Preprocessing Choices on Behavioral RCT Outcomes: A Multiverse Analysis
Giuseppe A. Veltri
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Personality and Social Psychology Bulletin

Does Maximizing Good Make People Look Bad?
Andres Montealegre, Lance S. Bush, David Moss, David A. Pizarro, William Jimenez-Leal
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Despite the potential to significantly increase the impact of donations, people often fail to prioritize the cost-effectiveness of charities. This paper examines an explanation for why people may donate less effectively due to reputational concerns that favor empathizing with donation recipients rather than deliberating about the cost-effectiveness of charities. Across seven studies, we find that “deliberators” are perceived as less moral and less desirable as social partners than “empathizers.” Moreover, people accurately anticipate the reputational costs of deliberation and are more likely to donate to causes that evoke more empathy but are less cost-effective when reputational concerns are highlighted. Our findings suggest that there are disincentives for selecting charities by deliberating about their cost-effectiveness, as people are more rewarded for signaling socially valued moral traits than for prioritizing charitable impact.
The Face of Left-Wing Dissent: Progressives and Traditional Liberals Generate Divergently Negative and Positive Representations of J.K. Rowling
Elena A. Magazin, Geoffrey Haddock, Travis Proulx
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Recent perspectives have challenged the view that left-wingers are less likely to derogate out-group members. Building on research demonstrating heightened out-group derogation by Progressive (vs. Traditional Liberal) left-wingers, we examined whether Progressives and Traditional Liberals differentially tolerate in-group dissenters on the issue of gender identity. Using reverse correlation, Study 1 found that the Progressive-generated face of J.K. Rowling (a prominent gender critical left-winger) was evaluated negatively, while the Traditional Liberal–generated face was evaluated positively. Study 2 found that in both abstract (general description) and concrete (public figure) presentations, faces of left-wing in-group members expressing gender critical views were judged more negatively than self-identification faces, with Progressive-generated gender critical faces evaluated more negatively than Traditional Liberals–generated faces. Replicating Study 1, the Rowling face generated by Traditional Liberals was evaluated positively. These findings suggest an ideological asymmetry of derogation within left-wing kinds, offering evidence of opposing representations of a dissenting in-group target.
I Get Knocked Down but I Get Up Again: Autonomous Motivation Sustains Identification and Collective Action After (Specific) Failure
Lisette Yip, Emma F. Thomas, Catherine Amiot, Léïla Eisner, Morgana Lizzio-Wilson, Winnifred R. Louis, Craig McGarty, Fathali Moghaddam
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Movements often experience setbacks while striving to achieve (or prevent) social change. We examined whether autonomous motivation—which captures supporters’ internalized commitment to a cause—would sustain identification with the movement and collective action after experiencing failure (vs. success) outcomes following the marriage equality vote in Australia (Study 1; N = 186), and an experimental induction of movement failure (Study 2; N = 137). Autonomous motivation positively predicted identification and collective action, but there was no evidence of moderation by outcome. In Study 3 ( N = 377), we experimentally manipulated outcomes (success/failure) and framing (specific/broad) of the climate action movement. We found evidence of a three-way interaction such that the effects of autonomous motivation on identification were strongest after a specific campaign failure. We conclude that autonomous motivation can help to buffer the demotivating effects of a specific failure as well as sustaining identification and commitment to action broadly.
Health Behaviors Are Moralized When Perceived to Cause Harm
Samuel Pratt, Daniel L. Rosenfeld, Amelia Goranson, A. Janet Tomiyama, Paschal Sheeran, Kurt Gray
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People readily moralize health, whether by criticizing smokers or treating exercise as noble. Drawing from the theory of dyadic morality, we theorized that people moralize health most strongly when they perceive poor health as a source of suffering. Through five studies (total N = 2,055), we show that perceived harm can drive the moralization of health. We identified three types of harm—personal, interpersonal, and collective—that people perceive as relevant to health and created a 15-item measure to capture each (Study 1). Perceived interpersonal harm reliably predicted moralizations of health, whether health was conceived broadly (Study 2) or as a concrete health issue (e.g., smoking, eating healthfully, disease prevention; Study 3). Experimentally manipulating the interpersonal harmfulness of a health behavior caused participants to moralize it (Studies 4 and 5), whereas disgust had no unique effect (Study 4). We suggest that perceived harm plays a key role in moralizing health.
Evidence for the Sexuality-as-Gendered Framework From Interpersonal Contact
P.J. Henry, Matthew Nielson, Kate Hawks
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People’s beliefs about sexual minorities are intertwined with their beliefs about gender (i.e., the sexuality-as-gendered framework), leading to the prediction that the amount of friendly contact with sexual minorities will be related to one’s beliefs about gender. We test this prediction across two studies (total N = 860), to show that reported friendships with sexual minorities relate not only to beliefs about sexual minorities, but also to attitudes toward people who are gender atypical, beliefs about traditional gender roles and norms, and endorsement of different versions of sexism. Our findings indicate that the sexuality-as-gendered framework involves not only people’s cognitions in terms of beliefs and attitudes, but also the types of interpersonal relationships they maintain.

Psychological Bulletin

Acute effects of fasting on cognitive performance: A systematic review and meta-analysis.
Christoph Bamberg, David Moreau
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Psychological Methods

How to analyze visual data using zero-shot learning: An overview and tutorial.
Benjamin Riordan, Joshua Millward, Zhen He, Dan Anderson-Luxford, Samatha Pararath Salim, Maree Patsouras, Emmanuel Kuntsche
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Comparison of latent growth curves: A parameter constancy test.
JesĂșs F. Rosel, Sara Puchol, Marcel Elipe, Patricia Flor, Francisco H. Machancoses, Juan J. Canales
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Psychological Science

One Action, Two Reference Frames: Compound Cognitive Maps of Object Location
Benjamin Pitt
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To navigate complex physical environments, animals keep track of the spatial relations among objects using various reference frames, both body-based (e.g., left/right) and environment-based (e.g., east/west), but how these spatial representations interact remains unresolved. Whereas neuroscientific findings show habitual integration across reference frames, psycholinguistic accounts suggest humans use one reference frame at a time, as in speech. This article examines whether people spontaneously use two reference frames in the same action. When placing a single object in a two-dimensional array, adult participants ( N = 110) routinely used an environment-based frame to determine the object’s left–right position while using a body-based frame to determine its front–back position at the same time. Such hybrid responses were prevalent among both Indigenous Tsimane’ and educated U.S. participants, suggesting that people across cultures habitually construct compound cognitive maps to represent the multidimensional spatial relations that compose natural settings.
Mapping the Ecology of Risk: 100 Risky Choices of Modern Life
Renato Frey, Olivia Fischer
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What are the risky choices people face in our complex and fast-changing world? This article reports on a series of population surveys in Switzerland ( N = 4,380) that collected those risky choices that are relevant in people’s everyday lives. Using this empirical basis, we developed an inventory consisting of 100 unique real-life choices to address open questions regarding the structure, life domains, and stability of the current ecology of risk. Moreover, a follow-up study ( N = 933) indicated some degree of generalizability of the construct of risk preference to the newly identified real-life choices. The five key insights that emerged from our analyses may be useful for researchers studying decision-making under risk and uncertainty (e.g., what criteria to use when developing novel measurement instruments) and policymaking in applied settings (e.g., addressing how swiftly the risks of modern life change).
Reply to “A Tendency to Answer Consistently Can Generate Apparent Failures to Learn From Failure”
Lauren Eskreis-Winkler, Ayelet Fishbach
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In Eskreis-Winkler and Fishbach (2019), failure stymies learning: People learn less from failure than success. The commentary proposes that the failure to learn from failure could be due to a tendency to respond consistently. Although a consistent response pattern explains why people struggle to learn from failure in some paradigms, we argue that it does not explain the results of the original paradigm. Certain consistency mechanisms require that people assume they should be consistent with their initial intuition instead of updating as they learn new information. This assumption does not apply to the original paradigm. We discuss how the commentary helps sharpen the criteria for assessing learning from failure and the role of consistency as one potential barrier to learning.

Psychology of Music

Exploring the role of music listening in cultivating self-compassion
Sabrina M McKenzie, Amanda E Krause, Solange Glasser, Margaret S Osborne
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Music listening can impact emotional well-being. However, self-compassion, an aspect strongly related to emotional well-being, is rarely discussed in music listening literature. Therefore, this study explored self-compassionate and uncompassionate music listening experiences within the context of the COVID-19 pandemic. Two hundred and ninety-six Australian university students ( M age = 19.32) completed a mixed-methods music listening and self-compassion questionnaire. The questionnaire included the Self-Compassion Short Form Scale along with an author-adapted version exploring the influence of music listening. Additional, open-ended questions probed self-compassionate and uncompassionate music listening experiences. Most participants (81.76%) reported self-compassionate experiences through listening to music during the pandemic. Template analysis examining people’s self-compassionate and uncompassionate music listening experiences resulted in an overlap of themes including emotional experience, connection , and music styles . Distinct patterns were found, such as positive outcomes in self-compassionate responses and negative outcomes in uncompassionate experiences. The inclusion of emotional release within uncompassionate responses demonstrates the complexity of the relationship between music listening and self-compassion. These findings highlight the need for further exploration into music listening and self-compassion, particularly in an everyday context beyond the pandemic.

Psychology of Popular Media

The expansion of the chĆ«nibyƍ experience in Thailand.
Weerapong Polnigongit, Chanon Jindaborisut, Kornrathak Chuenmuneewong, Roongkan Musakophas, Parawan Pijitrattana
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