I checked 15 psychology journals on Wednesday, October 14, 2026 using the Crossref API. For the period October 07 to October 13, I found 29 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
Full text
Understanding when mixture models effectively identify careless responding: Simulation and validity evidence
Irina Uglanova, Gabriel Nagy, Esther Ulitzsch
Full text
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.
HelexKids 2.0: A linguistically annotated lexical database building on HelexKids
Anthi Revithiadou, Aris Terzopoulos, Georgia Niolaki, Giorgos Markopoulos, Konstantinos Avdelidis, Ilias Mittas, Kosmas Kosmidis
Full text
HelexKids 2.0 represents an annotated expansion of the original HelexKids, a word frequency database compiled from Greek and Cypriot elementary school textbooks. This article presents the extended annotation methodology employed to enrich the database with part-of-speech tags, phonological properties (syllable count, phonetic transcription, orthographic and phonological syllabification, and stress), and morphological features (case, number, gender, and inflection class for nouns). All original frequency and lexical measures are retained, and new ones (e.g., PLD20, bigram and biphone frequencies) are added. The annotation process combined automated tools with extensive manual annotation and expert verification. We redesigned the database to assemble dynamically from the full set of textbooks, delivering results on the fly. The annotated database comprises 67,802 types and over 1.3 million tokens. We report on stress pattern distributions across major parts of speech and grade levels, show how stress is distributed by word class, and provide hierarchies of word-level syllabic templates. HelexKids 2.0 is freely available through the GRADIENCE project webpage and serves as a valuable resource for psycholinguistic and morphophonological research, as well as for educational applications.
Meaningless, but not emotionless: Evidence from a megastudy of pseudoword lexical decisions
Celia Martínez-Tomås, Marc Guasch, Miguel Låzaro, Ana Baciero, Pilar Ferré, José Antonio Hinojosa
Full text
Divine verification: Introducing a CAPTCHA-based religious priming technique
Fırat ƞeker, Ensar Acem, Rozelin Vurgun, Burak Dogruyol, Ozan Isler, Onurcan Yilmaz
Full text
An introduction to the methodological corpus of systematic observation and its quality assessment
Daniel LĂłpez-Arenas, Susana Sanduvete-Chaves, Salvador ChacĂłn-Moscoso
Full text
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.

Computers in Human Behavior

Informing users about LLMs' environmental costs encourages ethical consumption
Hagai Rabinovitch, Isabel Kashi, Shaul Shalvi
Full text
Online dating paradox: Why lonely hearts choose to ghost
Yukun Yin, Jian Zhou, Kun Peng
Full text
Understanding Human Detection of Algorithmic Bias Through Drift-Diffusion Modeling
Hannah Overbye-Thompson, Kristy A. Hamilton, Jacob Fisher
Full text
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
Full text
Decoding Deception: An Integrated Cognitive Model of User Response to Online Bank Fraud Attempts
Solveig Bourgeon, Ed Fitzhugh, Jurjen Jansen, Rick Wash
Full text
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
Full text
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
Full text
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
Full text
From overloaded to unsatisfied: The short- and long-term effects of online career media exposure
Nao Fukubayashi, Kei Fuji
Full text

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
Full text
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
Full text
When less is more: Unifinal framing promotes intention to use social media for social connection
David S. Lee, Daniel Kulesza
Full text
Everyday conceptualizations of patience
Samuel Murray, Devon Guzy, Áine Flynn
Full text

Organizational Research Methods

Triangulation as Methodology and Mindset: Developing Practice-Based Guidance for Organizational Research
Sarah Wittman, SĂ©bastien Point, Shiyu Yang
Full text
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

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
Full text
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.
Impressions of Deviant Disgust Expressions Are Functionally Specific
Kaelyn Sabree, Joshua M. Ackerman
Full text
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.

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
Full text

Psychological Science

Face-Matching Lineups: A Method to Control Mistaken Identifications in Video Evidence
Camryn N. Yuen, Daniel M. Bernstein, Andrew M. Smith, Rebecca C. Ying, Ryan J. Fitzgerald
Full text
When crime is caught on video, suspects can be identified by matching their faces to the perpetrator in the footage. However, errors in face-matching decisions have led to wrongful arrests. We tested face-matching in a nonprofessional student sample from a Canadian university ( N = 905) with one-to-one comparisons and lineups. On the basis of findings in the eyewitness identification literature, we hypothesized that if face-matching lineups were fair and included known-innocent fillers (i.e., nonsuspects), they would control the error rate on trials with innocent suspects and increase the accuracy of suspect “match” responses. This hypothesis was supported. However, the accuracy of suspect-nonmatch responses was greater for one-to-one comparisons than for lineups. Additionally, we found that applying wisdom-of-crowd approaches to multiple independent decisions could eliminate errors in both match and nonmatch responses. Whether to control face-matching errors with lineups, with the wisdom-of-crowds, or with both depends on practical considerations.
Do Children Who Develop Faster Go on to Age Faster in Midlife?
J. Kathy Xie, Avshalom Caspi, Kathleen Mullan Harris, Allison E. Aiello, HonaLee Harrington, Renate Houts, Christopher Kositzke, Daniel W. Belsky, Laurel Raffington, Jay Belsky, Sandhya Ramrakha, Reremoana F. Theodore, Terrie E. Moffitt
Full text
We quantified the association between rate of child development and pace of midlife aging in the Dunedin Study and the Add Health Study. Physical development was quantified in Dunedin participants ( N = 1,037; age 45) using a composite comprised of (1) birth weight for gestational age, (2) toddler weight gain, (3) timing of behavioral milestones, (4) adiposity-rebound age, (5) timing of adolescent growth spurt, and (6) tempo of adolescent growth spurt. Social development was quantified using the Vineland Social Maturity Scale. Multi-organ-system (cardiovascular, metabolic, renal, immune, dental, pulmonary) longitudinal biological aging was used as the adult outcome. Fast physical development in childhood was associated with faster midlife aging. This was replicated in Add Health ( N = 1,537; age range = 33–44 years), where girls who menstruated earlier had faster midlife aging. By contrast, faster social development in childhood was associated with slower midlife aging. Findings contribute initial empirical evidence characterizing the link between child-development rate and adult aging in humans.
Artists Can Design Memory, and AI Can Predict It
Trent M. Davis, Yifei E. Chen, Wilma A. Bainbridge
Full text
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.
Commentary on Alister et al. (2025): Individual Differences or Unsystematic Noise?
Peter Shepherdson
Full text
Alister et al. (2025) reported individual differences in the extent to which people find source-dependent and source-independent claims persuasive, but an exploratory analysis showed no discernible relationship between these individual differences and demographic variables such as age, education, politics, and social-media use. Here I show through simulations that the individual-difference patterns Alister et al. identified are largely consistent with random across-trial variation in the absence of underlying differences between individuals. This casts doubt on the strength of their evidence for individual differences and provides one plausible account of why their exploratory analyses did not yield systematic relationships.

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
Full text

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
Full text