I checked 15 psychology journals on Thursday, October 15, 2026 using the Crossref API. For the period October 08 to October 14, I found 27 new paper(s) in 10 journal(s).

Behavior Research Methods

C-VLT: A reliable Chinese Vocabulary Levels Test for primary and secondary school learners
Biao Zeng, Youxiang Jiang, Hongbo Wen
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Understanding when mixture models effectively identify careless responding: Simulation and validity evidence
Irina Uglanova, Gabriel Nagy, Esther Ulitzsch
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Careless and insufficient effort responding (C/IER) in self-report questionnaires refers to responses provided without adequate attention to item content. Latent variable mixture models have recently been proposed as a promising approach for detecting and accounting for C/IER. This study systematically evaluates the performance of mixture modeling for C/IER detection. Using an exemplar mixture model that captures core features of existing approaches, we (a) investigated, via simulations, conditions that facilitate or impede separation between response patterns indicative of attentive versus careless responding and (b) examined the validity of interpreting the latent class variable as an indicator of C/IER in an empirical application. The simulation study assessed how questionnaire and item characteristics affect latent-class identification under different C/IER response patterns. Results indicate that reliable separation is achieved when scales comprise at least ten items, exhibit substantial threshold heterogeneity, and include both positively and negatively worded items. Empirical support for the C/IER interpretation of the latent class variable was obtained by reanalyzing a publicly available Big Five inventory data set collected across multiple platforms. Model-based classifications closely corresponded to alternative C/IER indicators that do not rely on response patterns, exhibited consistency across multiple scales, and were sensitive to platform-specific differences in C/IER prevalence. Overall, the results support mixture modeling as a viable approach for addressing C/IER under many conditions commonly encountered in applied research.
Divine verification: Introducing a CAPTCHA-based religious priming technique
Fırat Şeker, Ensar Acem, Rozelin Vurgun, Burak Dogruyol, Ozan Isler, Onurcan Yilmaz
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Meaningless, but not emotionless: Evidence from a megastudy of pseudoword lexical decisions
Celia Martínez-Tomás, Marc Guasch, Miguel Lázaro, Ana Baciero, Pilar Ferré, José Antonio Hinojosa
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An introduction to the methodological corpus of systematic observation and its quality assessment
Daniel LĂłpez-Arenas, Susana Sanduvete-Chaves, Salvador ChacĂłn-Moscoso
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Observational methodology (OM) has evolved into a rigorous and flexible mixed-methods framework for studying spontaneous behavior in natural settings. By systematically recording behavioral streams and converting qualitative data into quantitative parameters, OM provides ecologically valid evidence often unattainable in experimental designs. This article presents a comprehensive methodological framework that synthesizes the conceptual, methodological, and analytical foundations of OM, along with recent advances in quality assessment. It traces OM’s evolution from qualitative traditions to a mature scientific methodology grounded in technological innovations and robust analytical procedures. A central element is the taxonomy of observational designs, which guides decisions on instrument development, sampling, and data analysis. This paper examines the structure of observational instruments, highlighting the complementary roles of structured category systems and flexible field formats, as well as the growing use of hybrid instruments that combine theoretical rigor with practical flexibility. Key components of the QUAL-QUANT-QUAL sequence are described, including behavioral segmentation, qualitative data typologies, and their transformation into quantitative parameters such as frequency, order, and duration. Analytical techniques used in OM include classical statistics and three field-specific procedures: lag sequential analysis, polar coordinate analysis, and T-pattern detection, which together enable precise identification of recurrent behavioral patterns. The article also addresses quality assessment, reviewing key frameworks that promote transparency, standardization, and evidence synthesis across behavioral science domains. Overall, this work offers an updated reference for designing, implementing, evaluating, and synthesizing studies based on OM.
Accounting for response styles in rating data using IRT and IRTree models: A tutorial in R with applications to self-reported metacognitive competence
Thorsten Meiser, Esther Ulitzsch, Mirka Henninger
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Response styles refer to individual differences in the use of the item response format irrespective of item content. They include tendencies to favor or avoid midpoint or extreme response categories, which can distort the measurement of latent constructs. This tutorial provides an overview of IRT and IRTree models that accommodate response style factors, allowing researchers to analyze response-style effects and adjust latent-trait estimates for potential bias. In particular, we give a practical guide to using IRT and IRTree models for response styles and illustrate the workflow of model implementation, estimation, and interpretation with an empirical data set on self-reported metacognitive competence (Double, 2025). Throughout the tutorial, IRT and IRTree models are specified with standard tools, and parameter estimation is accomplished in the common framework of multidimensional IRT with the package (Chalmers, 2012; Chalmers et al., 2025). The empirical results demonstrate that IRT and IRTree models can disentangle substantive traits and response styles, and that model-based estimates of substantive traits are adjusted accordingly. More specifically, both model classes reveal pronounced correlations among latent trait dimensions and among response style factors, but only small correlations between traits and response styles. In addition, the model-based trait estimates show the expected patterns of amplification and shrinkage after adjusting for midscale and extreme response style. The tutorial concludes with a discussion of recent developments in psychometric modeling.

Computers in Human Behavior

Informing users about LLMs' environmental costs encourages ethical consumption
Hagai Rabinovitch, Isabel Kashi, Shaul Shalvi
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Online dating paradox: Why lonely hearts choose to ghost
Yukun Yin, Jian Zhou, Kun Peng
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Understanding Human Detection of Algorithmic Bias Through Drift-Diffusion Modeling
Hannah Overbye-Thompson, Kristy A. Hamilton, Jacob Fisher
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Self-disclosure to intelligent virtual agents: A scoping review and the disclosure affordance–actualization–governance framework
Yimin Wang, Zhanghui Wang, Yu Zou, Yanping Song, Guobin Xia, Shaokang Chen, Haowei Guo, Chenxi Cao, Xinsheng Yang, Ziyan Deng, Jiaqi Li, Daojun Gong, Wenxiao Wang, Xin Lyu, Zhulin Tao, Xinyuan Huang
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Decoding Deception: An Integrated Cognitive Model of User Response to Online Bank Fraud Attempts
Solveig Bourgeon, Ed Fitzhugh, Jurjen Jansen, Rick Wash
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From the Couch to the Arena: Prefrontal Cortex Network Dynamics of Reward and Loss Processing during Gameplay across Internet Gaming Disorder Symptom Severity
Xinyu Zhang, Dongyu Liu, Christian Montag, Jon D. Elhai, Haibo Yang
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Why this AI app? The impact of generative artificial intelligence on educators’ choices in educational apps
Emma Liptrot, Adam Kenneth Dubé
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Virtual reality as a catalyst for change: Promoting communication intention, policy support and interaction with migrant workers in Singapore
Benjamin Li, Nuri Kim, Heng Zhang
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Beyond financial literacy: The role of trust and neuropsychiatric symptoms in fraud vulnerability in dementia
Veronica Cherubini, Chiara Romanelli, Chiara Fiori, Sara Baldinelli, Mauro Silvestrini, Simona Luzzi
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From overloaded to unsatisfied: The short- and long-term effects of online career media exposure
Nao Fukubayashi, Kei Fuji
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Group Processes & Intergroup Relations

The Roots of Solidarity: Social Class Identity is Associated with Support for Reducing Inequality
Danny Hang, Ellen C. Reinhart, Hannah J. Birnbaum, Andrea G. Dittmann, Rebecca M. Carey
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The collective efforts of individuals with the least amount of resources, status, and power in a society can be a powerful tool for reducing inequality. In the current research, we examine the links between identity and support for reducing inequality . Recruiting two online surveys of individuals with objectively low social class standing (i.e., low education, low income) and applying regression analysis, we find that those who subjectively identify as lower (versus higher) social class were more likely to support reducing economic inequality (e.g., support policies that reduce economic inequality; Studies 1 and 2). Additionally, the more central their lower social class was to their identity, the more likely people were to support reducing economic inequality (Study 2). Taken together, these results provide novel support for the importance of social class identity in efforts to reduce economic inequality.

Journal of Experimental Social Psychology

Bimodal emotion decoding: When faces and voices diverge
Hweemin Tan, Kerry Kawakami, Jinpeng Fu, Shuoan Li, Zhihe Pan, Xia Fang
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A preference for sameness and associated positive emotions in interindividual discrimination, even when based on chance
Xizhuo Zou, Fiona Kumfor, Evan Livesey, Leonie Schuppers, Eliane Deschrijver
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Organizational Research Methods

Triangulation as Methodology and Mindset: Developing Practice-Based Guidance for Organizational Research
Sarah Wittman, SĂ©bastien Point, Shiyu Yang
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Aiming to inform organizational research practice, we scrutinize how scholars in management and business studies report triangulation: the systematic integration of multiple data sources, methodologies, measures, investigators, and/or theories, usually with the objective of enhancing the robustness, validity, richness, and/or complexity of research findings. We analyze 1,209 articles from the UTD24 journal list, using thematic analysis to assess scholars’ use and justification of triangulation as a term of art that spans disciplinary boundaries and qualitative, quantitative, mixed-methods, and nonempirical methodological approaches. Our findings elucidate triangulation types (method, data, investigator, theory, and measures triangulation); convergence (validity and corroboration) and divergence (richness and complexity) perspectives; and reporting practices at the manuscript level. From this analysis and our examination of exemplars, we abstract triangulation's dual nature: as a root methodology—a foundational tool that transcends methodological boundaries and is deployable across the research process—and a research mindset—an epistemological orientation that engages reflexivity and multiplicity to achieve rigor. Based on our findings, we provide recommendations for how to plan for, conduct, report, and evaluate triangulation and discuss our contributions to organizational research methods.

Personality and Social Psychology Bulletin

Impressions of Deviant Disgust Expressions Are Functionally Specific
Kaelyn Sabree, Joshua M. Ackerman
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How do people perceive those who violate emotional expression norms? Across four studies, impressions of people displaying disgust “inappropriately” depended on how the deviation occurred. Targets who failed to show disgust toward disgust-eliciting stimuli (“flat deviants”) were judged as less healthy and lower in social status. Conversely, targets who expressed disgust to neutral stimuli (“react deviants”) were judged as less open-minded and less cooperative. These impressions tracked inferred behavioral affordances: flat deviants were seen as more likely to engage in pathogen-risky behaviors, whereas react deviants were not. Consistent with these judgments, affective deviants were differentially “punished”: flat deviants were rated as less fit and less likely to be recommended for jobs emphasizing health and hygiene, whereas react deviants faced these penalties for jobs emphasizing cooperativeness. Thus, perceivers do not simply condemn emotional norm violations; instead, they draw on expression–environment mismatches to make functionally specific trait judgments and potentially discriminatory decisions.
Should I Stay or Should I Go? Preference for Consistency Predicts Choice Perseveration in the Monty Hall Problem
Agata Gasiorowska, Dariusz Dolinski, Michal Folwarczny, Tobias Otterbring
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Five incentivized studies ( N = 5,354) tested whether preference for consistency (PfC) predicts staying with one’s initial choice in the Monty Hall problem, despite the fact that switching maximizes the probability of winning. Studies 1 and 2 found that higher PfC predicts staying, even after controlling for need for closure, preference for structure, intolerance of uncertainty, conspiracy beliefs, and numerical competence. Studies 3 and 4 provided experimental evidence that incentives moderated the link between PfC and staying, but higher (vs. lower) PfC only attenuated rather than eliminated incentive sensitivity. Study 5 identified anticipated regret over switching and losing as a mechanism underlying the effect, showing that the link between PfC and staying held across cultural contexts, although its magnitude was culturally calibrated. Together, this research shows that consistency motivation governs choice perseverance in a task that is intentionally impersonal and assumed to be driven by probabilistic reasoning rather than motivational forces.

Psychological Bulletin

A meta-analytic review of the associations between patterning and academic achievement.
Giulia A. Borriello, Tongyao Zhang, Victor Wei Wang, Peng Peng, Emily R. Fyfe
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Psychological Science

Does Global Slowing Explain Age Effects in Inhibitory Control?
Jacob Sellers, Han Zhang, John Jonides, Taraz G. Lee
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A long-standing debate in the study of cognitive aging centers around the issue of whether aging results in a selective deficit in inhibitory control beyond general slowing of cognitive processing. Previous studies have obtained mixed findings, in part because the typical free-response-time paradigm lacks the specificity required to disentangle component processes underlying inhibitory control. Here, we apply a forced-response paradigm and computational model to test whether aging results in overall speed differences or a selective deficit in inhibitory control. Across two experiments, over 200 older adults and younger adults completed a forced-response arrow-flanker task. We found strong evidence that older adults demonstrate a global slowing of processing without any selective deficit in inhibitory control in this task. Furthermore, we demonstrate that global slowing is sufficient to explain the mixed findings in previous free-response-time studies. Overall, these results argue against a selective inhibitory-control deficit in older adults.
Artists Can Design Memory, and AI Can Predict It
Trent M. Davis, Yifei E. Chen, Wilma A. Bainbridge
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Can artists deliberately design artworks to be remembered—or forgotten? Across three experiments, we tested whether visual-memory outcomes can be shaped through artistic design and how they are predicted by artists, laypeople, and artificial intelligence. We launched a nationwide art contest in which artists submitted works intended to be memorable or forgettable. Using recognition tasks with adults based in the United States (119 from Amazon Mechanical Turk, 892 from Prolific, and 62 visitors from a Chicago gallery), we found that artists achieved their intended memory outcomes. However, their success was asymmetric: Memorability was more readily increased than reduced. A neural network, ResMem, consistently outperformed human observers and artists in predicting which artworks would be remembered. Data-driven analyses identified psychologically interpretable features that explained nearly half the variance in memory and aligned with ResMem’s predictions, but not with human judgments. Together, findings suggest that visual memorability can be engineered by humans, though asymmetrically, and is better captured by computational models.

Psychology of Popular Media

“The constant jokes make me feel crap about myself”: A reflexive thematic analysis of boys’ experiences of appearance-related banter on Instagram.
Danielle L. Hope, Beth T. Bell
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Technology, Mind, and Behavior

Conversational artificial intelligence can foster a sense of meaningful work through eliciting authentic pride.
Joshua J. Prasad, Isabella A. Boyd, Bryan J. Dik
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