I checked 15 psychology journals on Monday, February 09, 2026 using the Crossref API. For the period February 02 to February 08, I found 32 new paper(s) in 12 journal(s).

Advances in Methods and Practices in Psychological Science

Bridging Cultures in the Era of Big Data: A Cross-Language Equivalence Framework in Machine-Learning Research With Social Media Texts
Daphne Xin Hou, Stuti Thapa, Louis Tay
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Past research on cross-cultural equivalence has focused on statistical procedures and techniques for ensuring measurement equivalence in tests and surveys. With the rise of big data and machine learning (ML), particularly natural language processing, researchers have powerful tools to study culture using large-scale, organic language data from social media. However, the lack of methodological guidance on how to establish cross-language equivalence in cross-cultural studies, especially with multilingual or culturally diverse text data, poses a major challenge. To address this gap, in this article, we propose a framework to raise awareness of key equivalence challenges and offer practical guidance for reducing measurement biases when applying ML techniques to social media language data. The framework outlines five types of equivalence following the ML pipeline from data collection to evaluation: source equivalence, sample equivalence, input equivalence, psychological-ground-truth equivalence, and model-performance equivalence. We also draw parallels to survey-based research to highlight shared conceptual challenges and identify future directions to advance cross-cultural research with big data and computational-linguistic methods.

Behavior Research Methods

How well do large language models mirror human cognition of word concepts?: A comparison of psychological ratings for early-acquired English words
Hiromichi Hagihara, Kazuki Miyazawa
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This study examined how well large language models (LLMs) approximate human psychological ratings for early-acquired English words. We used four state-of-the-art LLMs, including GPT-4o and Meta-Llama-3.1, to evaluate 21 static psychological features for 695 words and compared these estimates with human norms. The results showed that LLMs aligned well with human ratings for some features (e.g., Concreteness, Bodily Interactiveness) in terms of rank correlations ( r s > .82) and distributional similarities but diverged notably for others (e.g., Iconicity, Arousal; r s < .48). Compared with content words, function words showed more pronounced discrepancies between human and LLM ratings. We also assessed how similarly human- and LLM-derived psychological features predicted words’ age of acquisition (AoA), revealing both strong correspondences and systematic biases, depending on the model (differences in correlations ranged from −.27 to .28). Based on these analyses, we identified which features may be reliably estimated using LLMs, which require further refinement, and what methodological considerations are necessary for applying LLM-based measures in cognitive science. We discuss the implications of using LLMs as methodological tools in psychology and cognitive science, highlighting both their practical advantages (e.g., data coverage and data collection efficiency) and theoretical relevance. The present study provides a novel framework for evaluating the cognitive plausibility of LLMs by using lexical psychological features, complementing existing benchmarks.
The Chameleon Paradigm: An effective method for masking biological motion stimuli
Jiaxu Zhao, Xin He, Yi Jiang, Min Bao
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Computers in Human Behavior

Framing responsibility: Human and AI agent effects on apology effectiveness in service failures
Jihyun Soh, Eunice Kim
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Offended by the algorithm: The hidden interpersonal costs of clients seeking AI second opinion
Gerri Spassova, Mauricio Palmeira
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Stimulated or saturated? Biometric analysis of augmented sport experiences among young adults: The role of hedonic innovativeness and repeated exposure
Yongjae Kim, Jin Woo Ahn
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Integrating technology acceptance, self-determination, and self-regulation: A structural model of generative AI-supported learning and competence
Shu Ching Yang
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Mental Health During War: Social Media Use and Protective Factors Among Adolescents and Young Adults
Yael Malin, Yaeli Gardyn, Christa Asterhan
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Rethinking targeting strategies for SMEs: How artificial intelligence and audience breadth drive advertising performance
Minjeong Ham, Jaeyoung Park
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Journal of Experimental Social Psychology

Maximizer's asymmetric memory: Amplified negativity for selected options, attenuated for foregone options
He Huang, Virgil Zeigler-Hill, Hong Li
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“If you agree with me, it must be true”: Social verification creates shared reality and consolidates impressions
Matteo Masi, Gerrit Lamers, Gerald Echterhoff
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Integrating the sociocultural and economic effects of social class on prosocial behavior
Johannes Stark, Christian Tröster, Niels Van Quaquebeke
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Journal of Personality and Social Psychology

Belief in a diversity–meritocracy trade-off.
Evan P. Apfelbaum, Eileen Y. Suh, Yue Wu
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Overestimating the social costs of political belief change.
Trevor Spelman, Abdo Elnakouri, Nour Kteily, Eli J. Finkel
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Multivariate Behavioral Research

Calculating and Interpreting Maximal Reliability in Bifactor Models
Sijia Li, Victoria Savalei
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Personality and Social Psychology Bulletin

Inoculation Decreases Uncritical Acceptance of Herbal Product Reporting and Willingness to Engage With TCAM Products: Evidence From Three Preregistered Experiments
Marija Branković, Marija B. Petrović, Danka Purić, Milica Ninković, Petar Lukić, Aleksandra Lazić, Goran KneĆŸević, Ljiljana Lazarević, Iris ĆœeĆŸelj
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Many herbal remedies lacking scientific support receive largely favorable media coverage, misleading consumers. To foster more thoughtful consumption, we developed an inoculation-based strategic intervention: a random news generator exposing media tactics like appeals to nature, tradition, availability, and pseudoscientific jargon. Its effectiveness was tested in three preregistered experiments. In a laboratory study ( N = 243), active use of the generator helped participants counter media strategies, with effects persisting for 11 days. A novel online active inoculation tool also reduced uncritical acceptance of herbal product reporting, intentions to use herbs for health, and trust in complementary and alternative medicine industries/media in both a student ( N = 439) and a community sample ( N = 452). The intervention was especially effective among experiential thinkers and those believing in extrasensory perception. Scalable and resource-efficient, this tool inoculates consumers against misleading media tactics and is adaptable for use across educational, media, and healthcare contexts.
Depression-Reframing: Recognizing the Strength in Mental Illness Improves Goal Pursuit Among People Who Have Faced Depression
Christina A. Bauer, Gregory M. Walton, JĂŒrgen Hoyer, Veronika Job
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Widespread narratives frame mental illness as a sign of inherent personal weakness—an alleged weakness that would permanently undermine people’s ability to pursue goals in life. Do these narratives have self-fulfilling consequences? To test this hypothesis, and to attain a practical way to support people in realizing their strengths, we developed a brief (~20 min), highly scalable exercise that highlights the strengths people show when contending with depression. Three experiments ( N total = 748) show that this depression-reframing-exercise enhanced the confidence of people who had experienced depression to pursue their goals in life, 0.30≀ d s ≀0.68 ( N s = 158, 419, and 171); and, over 2 weeks, the progress they reported making towards a valued personal goal by 49% (from 43% reported completion to 64%), d = 0.47 (Experiment 3). While default inherent-weakness-narratives harm goal pursuit among people with depression, efforts to reframe depression can help people with depression recognize and access their strengths.

Psychological Bulletin

Internalized racism and personal self-esteem among ethnoracial minoritized groups: A meta-analytic review.
Drexler James, Elie ChingYen Yu, Yilin Wang, Mariola Moeyaert
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A meta-analytic review of cultural variation in affect valuation.
Jeanne L. Tsai, Daniel S. Chen, Angela M. Yang, Julie Y. A. Cachia, Elizabeth Blevins, Michael Ko, Maya B. Mathur, Oriana R. Aragón, Elisabeth A. Arens, Lucy Z. Bencharit, Stephen H. Chen, Ying-Chun Chen, Yulia Chentsova Dutton, Benjamin Y. Cheung, Louise Chim, Philip I. Chow, Magali Clobert, Arezou M. Costello, Igor de Almeida, Christopher P. Ditzfeld, Stacey N. Doan, Victoria A. Floerke, Brett Q. Ford, Helene H. Fung, Amy L. Gentzler, Eddie Harmon-Jones, Steven J. Heine, Derek M. Isaacowitz, Eiji Ito, Da Jiang, Emiko S. Kashima, Birgit Koopmann-Holm, Brian T. Kraus, Jocelyn Lai, Austyn T. Lee, Lilian Y. Li, Corinna E. Löckenhoff, Gloria Luong, Bradley C. Mannell, Yael Millgram, Shir Mizrahi Lakan, Benjamin Oosterhoff, Janelle Painter, BoKyung Park, Cara A. Palmer, Suzanne C. Parker, William Peruel, Matthew B. Ruby, Cristina E. Salvador, Gregory R. Samanez-Larkin, Molly Sands, Vassilis Saroglou, Marine I. Severin, Yoonji Shim, Benjamin A. Swerdlow, Maya Tamir, Renee J. Thompson, Yukiko Uchida, Chit Yuen Yi, Chen-Wei Yu, Xiaoyu Zhou
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Relative effects of implicit and explicit attitudes on behavior: A meta-analytic review and test of key moderators.
Daniel J. Phipps, Martin S. Hagger, Kyra Hamilton
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Does controlling for baseline stressful life events clarify or cloud the stress generation effect? A response to Dang and Xiao (2025).
Katerina Rnic, Angela C. Santee, Hannah R. Snyder, Lisa R. Starr, David J. A. Dozois, Joelle LeMoult
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Psychological Methods

Planned missingness to reduce survey length: A sheep in wolf’s clothing.
Charlene Zhang, Paul R. Sackett, Saron Demeke
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Using latent class analysis to justify a latent continuum in item development.
Jay Verkuilen, Sydne T. McCluskey, Magdalen Beiting-Parrish, Aleksandra Kazakova, Howard T. Everson
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Inaugural editorial.
Frederick L. Oswald
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Psychological Science

Detection of Idiosyncratic Gaze-Fingerprint Signatures in Humans
Sarah K. Crockford, Eleonora Satta, Ines Severino, Donatella Fiacchino, Andrea Vitale, Natasha Bertelsen, Elena Maria Busuoli, Veronica Mandelli, Michael V. Lombardo
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Do individuals possess a “gaze fingerprint” that reveals how they uniquely look at the world? We tested this question by examining intra- and intersubject gaze similarity across 700 static pictures of complex natural scenes. Independent discovery ( n = 105) and replication data sets ( n = 46) of adults aged 18 to 50 years (sampled from Italy and Germany) revealed that gaze fingerprinting is possible at relatively high rates (e.g., 52%–63%) compared with chance (e.g., 1%–2%). We also identify gaze-fingerprint barcodes , which reveal a unique individualized code describing which stimuli an individual can be gaze-fingerprinted on. Preregistered longitudinal follow-up experiments have shown that gaze-fingerprint barcodes are nonrandom within an individual over short and long time fraframmes. Finally, we find that increased gaze fingerprintability for social stimuli is associated with decreased levels of autistic traits. To summarize, this work showcases the potential of gaze fingerprinting for isolating traitlike factors that may be of high neurodevelopmental and biological significance.
Pretending Not to Know Reveals a Capacity for Model-Based Self-Simulation
Matan Mazor, Chaz Firestone, Ian Phillips
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Pretending not to know requires appreciating how one would behave without a given piece of knowledge and acting accordingly. Here, two game-based experiments reveal a capacity to simulate decision-making under such counterfactual ignorance. English-speaking adults ( N = 1,001) saw the solution to a game (ship locations in Battleship, the hidden word in Hangman) but attempted to play as though they never had this information. Pretenders accurately mimicked broad aspects of genuine play, including the number of guesses required to reach a solution, as well as subtle patterns, such as the effects of decision uncertainty on decision time. Although peers were unable to detect pretense, statistical analysis and computational modeling uncovered traces of overacting in pretenders’ decisions, suggesting a schematic simulation of their minds. Opening up a new approach to studying self-simulation, our results reveal intricate metacognitive knowledge about decision-making, drawn from a rich—but simplified—internal model of cognition.
Metacognition in Decision-Making Across Domains and Modalities: Evidence from Three Studies
Audrey Mazancieux, Katarzyna Hat, Renate Rutiku, MichaƂ WierzchoƄ, Kristian Sandberg
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Metacognition involves second-order judgments about first-order judgments. It remains unclear whether an individual’s confidence in being correct is generated by the same system across tasks ( domain generality ) or whether it is computed independently in the context of each task ( domain specificity ). Previous studies have focused on correlations across several tasks, yet the evidence is mixed, and more complex models of domain generality were not taken into account. Analyzing data from 10 tasks collected across three studies in Denmark and Poland ( N = 253–547 adult participants), we found a fixed pattern of cross-task correlations for both metacognitive bias and metacognitive efficiency. In accordance with previous studies, we found that hierarchical estimation of metacognitive efficiency led to higher correlations. We used confirmatory factor analyses to investigate the existence of general processes. We found evidence for a weak domain generality with a metacognitive module for perceptual tasks and another for cognitive tasks.

Psychology of Music

Dimensions of musical taste: A style-specific approach
Emily Gernandt, Julia Merrill
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This study investigates the complex dynamics underlying musical taste by examining five dimensions of musical taste through psychological, sociological, and music-analytical perspectives. By focusing on specific musical styles, the study aims to identify key factors that shape style-specific preferences. Data were collected from N = 844 participants through an online survey. Participants selected one of 17 musical styles they were most passionate about and completed five scales assessing factors influencing musical taste development, functions and situations of music listening, musical value judgments, and perceived musical dislikes. The data were analyzed using factor analyses to identify underlying dimensions, followed by a random forest classification to explore the importance of these factors for musical preferences across styles. The results highlight the role of social influences in shaping musical taste, particularly among punk, metal, and rock fans, while these factors were less relevant for classical and jazz enthusiasts. Identity expression and the relevance of lyrics were also pivotal for punk, metal, and rock fans, whereas pop and rap listeners frequently cited perceptions of mainstream appeal as a reason for rejection. This study underscores the multifaceted and style-specific nature of musical taste, advocating for an integrative approach by bridging psychological, sociological, and music-analytical perspectives.
Development of the Participatory Music Engagement for Mental Well-being (PaMEW) questionnaire: A pilot study with autistic adults
Kaja KoroĆĄec, Lars-Olov Lundqvist, Rosie Perkins, Anna DĂ©tĂĄri, Walter Osika, Eva Bojner Horwitz
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Research about autistic people’s subjective experiences with music and its impact on their well-being is limited, despite its common presence in public spaces and support services. To provide an empirical framework and tools for future research, we examined the relevance of the participatory music engagement for mental well-being model for autistic adults. The model outlines four pathways through which music supports well-being: managing and expressing emotion, providing respite, facilitating self-development, and facilitating connections. Based on the model, we developed a new questionnaire, the Participatory Music Engagement for Mental Well-being (PaMEW), and collected responses from 63 autistic adults. We found that most respondents believed the items were relevant to their experiences of the relationship between music and well-being, that the factorial structure of their responses aligned with the model, and that their comments reflected the four pathways; however, they also highlighted nuances not addressed by the model. The study underscores the need for nuanced tools that reflect the unique ways autistic individuals use music to support their well-being, suggesting future revisions of PaMEW in collaboration with the autistic community to enhance its relevance and clarity.
Building reflective practice: Implementing a self-regulated musical learning intervention proposal in online cello lessons
Dora Utermohl de Queiroz, Clarissa Foletto, LuĂ­s Pedro
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This article describes the results of an exploratory action research project that sought to implement an intervention proposal entitled Promoting Self-regulated Musical Learning in Online Lessons (PSRL). This PSRL was developed in accordance with self-regulated learning theory and the corresponding premise that self-regulation can be activated directly through teacher instructions and indirectly by enriching the learning environment with pedagogical tools that facilitate student self-regulation. The PSRL contained two components: (1) a diagnostic approach, which aimed to understand just which self-regulation processes students deployed during practice, and (2) a training approach, which included teacher instructions and tools for self-regulation. In addition, this study explored an online learning environment tailored to activate and enhance self-regulated learning skills. Two cello students from a music education BA programme in Brazil participated in the project. The PSRL was implemented throughout 4 weeks in eight cycles of action. The findings indicate that a questioning approach and the indirect support of the online environment were associated with increased metacognitive reflection in the two students. Although the results cannot be generalized due to the small sample size, the study provides insights into teaching strategies that may support the development of students’ self-regulated musical practice habits in online lessons.
Development and Validation of the Self-Regulated Learning in Music Practice Self-Report Scale (SRL-MP-SRS)
Akiho Suzuki, Anna Wolf, Jane Ginsborg
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To practise effectively, musicians must engage in self-regulated learning (SRL) through a cyclical process of planning, execution, and reflection. The purpose of this study was to develop and validate a new questionnaire that measures SRL in the context of music practice. We generated an item pool by adapting items from existing scales and revising them based on feedback from an expert panel. This pool was administered to 290 musicians, randomly split into Subsamples A and B. Exploratory structural equation modelling (ESEM) was carried out on Subsample A to create the final Self-Regulated Learning in Music Practice Self-Report Scale (SRL-MP-SRS), which consisted of 27 items distributed across five subscales. ESEM of the final model on Subsample B demonstrated a good fit. Internal consistency was acceptable for both the global scale and each of the subscales. The SRL-MP-SRS scores correlated positively with self-efficacy and deliberate practice, while professional musicians scored higher on the SRL-MP-SRS than students. The SRL-MP-SRS provides a valid and reliable way to measure musicians’ self-regulated practice that can be utilised with large samples, although further studies are needed to investigate its validity and limitations further.

Psychology of Popular Media

Watching the misfortunes of others: Immoral behavior but not responsibility leads to schadenfreude about fail video clips.
Lilian Suter, Werner Wirth
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