I checked 15 psychology journals on Tuesday, June 09, 2026 using the Crossref API. For the period June 02 to June 08, I found 28 new paper(s) in 10 journal(s).

Behavior Research Methods

Multi-method validation of the new computerized test of fluid intelligence MatriKS
Debora de Chiusole, Ottavia M. Epifania, Pasquale Anselmi, Andrea Brancaccio, Noemi Mazzoni, Matilde Spinoso, Matteo Orsoni, Sara Giovagnoli, Irene Pierluigi, Alice Bacherini, Mariagrazia Benassi, Giulia Balboni, Luca Stefanutti
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This paper introduces MatriKS, a new computerized tool for the assessment of fluid intelligence based on Raven-like matrices. Based on knowledge structure theory (KST), a mathematical framework initially designed for efficient assessment and personalized learning, MatriKS is the first large-scale application of KST to fluid intelligence assessment. The validation results for MatriKS, suitable for Italian individuals aged 4 to 11 ( $$N = 568$$ N = 568 ), are presented. A multi-method approach incorporating classical test theory (CTT), item response theory (IRT), and KST was employed. Each of the three approaches, with its own assumptions and models, highlights structural properties of the data that are not captured by the other two. Nevertheless, the three approaches provide an acceptable modeling of the data supporting the adequate functioning of MatriKS. The study concludes by exploring the methodological and practical benefits of using KST for constructing tests and estimating individual cognitive profiles.
Semantic diversity in Chinese words: Exploring its role in word recognition, lexical ambiguity, character complexity, and semantic alignment
Yufeng Liu, Shifa Chen, Yi Yang
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The fundamentals of eye tracking, Part 7: Determining data quality
Diederick C. Niehorster, Marcus Nyström, Roy S. Hessels, Jeroen S. Benjamins, Richard Andersson, Ignace T. C. Hooge
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Understanding the quality of eye-tracking recordings, often characterized using accuracy, precision, and data loss, is crucial for the interpretation of eye tracking data. Eye-tracking data quality can furthermore place fundamental limits on what studies can be conducted with an eye tracker, and one may be required to report eye-tracking data quality when publishing a study. However, how does one determine the quality of eye-tracking data? This article provides an overview of operationalizations of accuracy, precision, and data loss and practical advice for determining eye-tracking data quality. Furthermore, the programming code for calculating various quality metrics for a segment of eye-tracking data is provided in MATLAB, Python, and R. Also provided is ETDQualitizer, a tool designed to enable anyone to easily determine the data quality of their recordings. We provide a version that is browser-based ( https://dcnieho.github.io/ETDQualitizer ) and enables determining eye-tracking data quality without installation or programming, while ensuring data privacy by running entirely locally. ETDQualitizer is further provided as a MATLAB, Python, and R library ( https://github.com/dcnieho/ETDQualitizer ) that can be integrated in one’s analysis scripts. We hope that this article enables any researcher to determine, critically evaluate, and report on eye-tracking data quality, and that it spurs researchers to adopt a data quality perspective in all their future eye-tracking studies.
Deep learning and eye tracking: Convolutional neural networks provide converging evidence for experience-driven attention within visual search
Nicholas Crotty, Alenka Doyle, Kamilla Volkova, Nicole Massa, Noah C. Benson, Michael A. Grubb
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Eye tracking during visual search generates spatiotemporally rich but complex data. Traditional analyses often utilize simplified metrics (saccade landings, dwell time, etc.) that necessarily exclude a substantial fraction of the variance in the raw eye data. Here, we asked if deep learning might aid scientists in objectively incorporating such discarded data into analyses. Convolutional neural networks (CNNs) are supervised machine learning tools that excel at classifying biological data. We built several CNNs that learn from raw eye-position time-course data to classify the location of relevant stimuli (e.g., search targets/distractors). We train each CNN on two-thirds of the data and cross-validate on the rest, comparing classification accuracy to chance via traditional frequentist testing and hierarchical Bayesian modeling. Using data from two of our previous visual search studies (Massa et al., Atten Percept Psychophys 86(4):1108–1119, 2024; Grubb & Li, Atten Percept Psychophys 80:822–828, 2018), CNNs successfully classified the location of distractors with a “history as a sought target,” finding evidence for reflexive, experience-driven overt attention within each oculomotor dataset. Successful prediction of distractor location generalized to a third dataset without additional training (Doyle et al., Atten Percept Psychophys 87:721–727, 2025) and outperformed a traditional saccade-landing metric. Feature visualization illustrated how the CNNs learn from eye-position samples near distractors early in trials and opposite distractors later in trials, suggestive of reflexive attentional allocations towards distractors followed by corrective shifts in gaze. We thus validate our CNN-based approach and highlight its utility in analyzing the spatiotemporally rich data gathered from eye tracking during visual search.
Experiment-based calibration: Inference and decision-making
Federico Mancinelli, Dominik R. Bach
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Experiment-based calibration is an emerging approach for measurement validation in the behavioural sciences. It allows comparing multiple measurement methods by how well they reproduce a known experimental manipulation, providing insight into their measurement accuracy. Calibration entails questions unparalleled in classical validation approaches. The first is about inference: when should we conclude that one measurement method is truly more accurate than another? The second is about decisions: when should we decide that a method merits the investment of changing a measurement system? In this note, we review these questions in the context of the statistical challenges that arise in a calibration process: a potentially large and a priori unknown number of measurement methods; a requirement to integrate evidence across multiple calibration samples; and a possibility that some methods may not be available for all samples. We show that Bayesian meta-analytic model comparison is a suitable framework for inference in calibration, and propose a decision-theoretic approach to calculate immediate economic gain garnered through reduced sample sizes. In order to overcome the practical hurdles associated with the analysis of calibration experiments, we present CalibR , an R package for calibration inference.
Virtual reality skinner box: A step-by-step guide with Unity and Spatial.io
Laurent Avila-Chauvet, Diana MejĂ­a-Cruz, Agustin Robles-Morua, Ivan Humberto Uribe Morales, Yancarlo Lizandro Ojeda-Aguilar
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Publisher Correction: Enhancing propensity score analysis with data missing not at random: Introducing dual-forest proximity imputation
Yongseok Lee, Walter L. Leite
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New methodological and software tools for probing moderation in intrinsically nonlinear models
Haley E. Yaremych, Kristopher J. Preacher
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Procedural trial generation for cognitive assessment: An executive function planning task
Caroline Dakoure, Alexandre Caron, Kajamathy Subramaniam, Delphine Raucher-Chéné, Geneviève Sauvé, Élisabeth Thibaudeau, Katie M. Lavigne
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Reassessing cumulative self-paced reading (SPR): Testing three variants shows cumulative SPR can be more useful than standard non-cumulative SPR for sentence-processing research, depending on presentation format
Hiroki Fujita
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Self-paced reading (SPR) is widely used to investigate real-time sentence processing. In SPR, sentences can be presented either cumulatively, with previously presented words remaining visible, or non-cumulatively, with previous words disappearing. However, most prior research has avoided cumulative presentation, largely due to concerns that it allows readers to reveal multiple words through rapid key presses and then read them, thereby undermining the interpretability of reading times. As a result, cumulative SPR is widely assumed to be unsuitable for research on real-time sentence processing. The present study examines this assumption by comparing three cumulative SPR variants—ahead-visible cumulative SPR (AVC-SPR), non-ahead-visible cumulative SPR (NAVC-SPR), and partially cumulative SPR (PC-SPR)—with standard non-cumulative SPR (NC-SPR). In AVC-SPR, the positions of upcoming words are visually indicated; in NAVC-SPR, upcoming positions are not indicated; and in PC-SPR, upcoming positions are likewise not indicated, and accumulation is capped so that only a limited number of words remain visible. The four tasks were compared in terms of their sensitivity to detecting garden-path and number-mismatch effects. Clear effects were observed in all four tasks, with NAVC-SPR yielding the largest effect sizes. Power analyses further indicated that NAVC-SPR generally offers the highest prospective power to detect these effects. PC-SPR showed effect sizes similar to or larger than those in NC-SPR, and AVC-SPR was the least reliable task. Together, these findings challenge the assumption that cumulative presentation is unsuitable for studying real-time sentence processing and suggest that NAVC-SPR and PC-SPR are viable alternatives to NC-SPR. All cumulative SPR tasks, together with an R script for automated stimulus formatting, are openly available to facilitate their adoption.

Computers in Human Behavior

Content as shelf: How branded content atmospheres shape consumer relationship building in social commerce? Insights from PLS-SEM and fs/QCA
Lu Zheng, Yongfa Li, Xiaojing Zhang
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The ties that (healthily) bind: Playing in groups increases game loyalty but decrease addiction
Shih-I Tai, Thi Tuan Linh Pham, Tzu-Ling Huang, Alexander S. Dennis, Chun-Hao Liu, Gen-Yih Liao, Ching-I Teng
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Patterns of prefrontal cortex connectivity in internet gaming disorder: fNIRS insight from mobile gameplay
Xinyu Zhang, Dongyu Liu, Christian Montag, Jon D. Elhai, Yawen Guo, Haibo Yang
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Group Processes & Intergroup Relations

The Complexity of Local, National, and European Identities and Their Links to Intergroup Attitudes: The Case of the Basques and the Catalans
Maciej Sekerdej, Carmen Tabernero
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The aim of this research was to examine the interrelationships between regional, national, and European identities in the Basque Country (Study 1) and Catalonia (Study 2) using the Social Identity Complexity model. Across two studies (total N = 1200), we found that the greater the perceived similarity and overlap between regional and national identification, the stronger the identification with Europe. A more detailed analysis showed that this relationship was positively mediated by national identification. A parallel negative mediation via both regional identification and glorifying regional identification was weaker and less consistent. Moreover, greater perceived similarity to Spain, together with higher levels of identity overlap, was associated with more harmonious attitudes toward other autonomous communities and European nations. In Study 2, these findings were further interpreted through the lens of the Ingroup Projection Model, indicating that for Catalans, Europe—rather than Spain—functions as the primary point of reference.

Journal of Experimental Social Psychology

Does attending to the nose vs. eyes reduce the cross-race recognition deficit? A systematic test
Tomás A. Palma, Francisco Cruz, Joana Quarenta, Joshua Correll, Marco Carvalho, Marta Barros, Debbie Ma
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Hypocrisy either way: Judgments of moral actors who choose between conflicting commitments
Jonathan Z. Berman, Graham Overton, Daniel A. Effron
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Journal of Personality and Social Psychology

The predictive validity of vocational interests for life outcomes across adulthood.
Lena Roemer, Christopher D. Nye, Rong Su, Kevin A. Hoff
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Multivariate Behavioral Research

betaselectr : Selective (and Proper) Standardization in Structural Equation Models
Rong wei Sun, Florbela Chang, Wendie Yang, Shu Fai Cheung, Sing-Hang Cheung
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When Deep Learning Outperforms Conventional Models in Long-Term Forecasting
Young Won Cho, Sy-Miin Chow, Danielle Symons Downs, Steriani Elavsky
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Personality and Social Psychology Bulletin

Fluency as a Cue to Authenticity
Lydia Needy, Matthew Baldwin, Rebecca J. Schlegel, Wilhelm Hofmann
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The quest for authenticity is a potent existential striving. Commonly defined as knowing and living in accordance with one’s perceived “true self,” we propose that authenticity may also be inferred from ambient feelings of fluency, or the subjective feeling of ease that corresponds to one’s immediate experience, mental processing, or physical action. We report four studies ( N = 1,465) supporting this idea. Study 1 shows that fluency during a recent activity predicts subjective authenticity beyond other relevant variables. Study 2 demonstrates that participants’ recalled fluent experiences also felt authentic. In Study 3, generating self-defining attributes under cognitive load reduced fluency and, subsequently, subjective authenticity. Finally, preregistered Study 4 manipulated fluency during a non-self-relevant task. Participants in the fluent condition reported greater subjective authenticity than those in the disfluent condition. We discuss how a phenomenological approach to subjective authenticity can integrate and complement recent theorizing about the nature of authenticity.
A Multimethod Assessment of Spontaneous Behavioral Synchrony in Race- and Age-Concordant Versus Discordant Dyads
Morgan D. Stosic, Adele E. Weaver, Ken Fujiwara, Ishabel M. Vicaria, Derek M. Isaacowitz, Mollie A. Ruben
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This work examines the impact of race and age concordance on behavioral synchrony and self-reported rapport in social interactions, employing a multimethod approach across three studies ( N total = 450) and a mini meta-analysis. Behavioral synchrony was assessed with reliable human coders and OpenPose, and rapport was measured through self-reports. Results indicated that race- and age-concordant dyads exhibited significantly greater behavioral synchrony than discordant dyads, suggesting that shared visible social identities may be associated with smoother, more connected interactions. Synchrony effects were stronger when measured by human coders compared to OpenPose, potentially reflecting human coders’ biases related to perceived similarity between interactants or coders’ more nuanced ability to detect certain components of synchrony compared to technological approaches. No significant effects of race or age concordance on self-reported rapport were observed. These findings highlight an important factor in predicting the spontaneous emergence of behavioral synchrony and emphasize the value of integrating multimethod approaches.
Just Like My CEO: When Perceived Similarity Makes Pay Inequality Acceptable
Daniel Heller, Garrett L. Brady, M. Ena Inesi, Thomas Mussweiler
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Large CEO–employee pay gaps often elicit negative reactions, yet they have reached historic highs with limited resistance. How can this be explained? Developing a novel social comparison perspective, we propose that under specific circumstances pay inequality may yield positive reactions. We argue that perceived similarity with a CEO enhances acceptance of CEO pay, a process driven by elevated inspiration. We tested this prediction in four studies: a large international archival survey, a pre-registered survey of U.S. employees, and two pre-registered experiments. In the archival survey, we demonstrate that perceived similarity to CEOs, when measured indirectly, reduced support for income-inequality-reduction policies, and this effect appears-to-emerge across cultures. Converging experimental evidence reveals that employees who perceived greater similarity to their CEOs are more accepting of high CEO pay, due to feeling more inspired. These findings help elucidate why extreme pay disparities are often accepted, even though they may reinforce broader societal inequality.

Psychology of Music

Moving together, feeling together: Body coordination, pupil size, and musical togetherness in classical duo performance
Laura Bishop, Anna Niemand, Sara D’Amario, Werner Goebl
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This study investigated the relationships between bodily expression, bodily coordination, mental effort, and self-reported experiences of musical togetherness. Singer-pianist duos performed pieces of classical repertoire before and after rehearsing together. Video, head motion, respiration, and pupillometry data were collected. Afterwards, the performers watched a video of their post-rehearsal performance and made continuous ratings of how together they felt. They also provided written descriptions of the cues that informed their togetherness judgements. Our analyses showed stronger head coordination between partners and larger pupil diameter during high-togetherness phrases than during low-togetherness phrases for one of the pieces. Inhalation synchrony and quantity of head motion did not differ between high- and low-togetherness phrases. Pupil size was greater during pre-rehearsal performances than during post-rehearsal performances, suggesting that demands on attention might have reduced after players had jointly constructed a shared interpretation and grown more accustomed to performing together. A thematic analysis of written responses showed that performers’ concept of togetherness related to coherence in musical parameters, moving and breathing together, and sensations of feeling together, shared musical emotion, and effortlessness. We discuss these findings in relation to the musical togetherness model.

Psychology of Popular Media

Differential pathways linking social pain to internet-related addictive behaviors: The mediating roles of self-compassion and social anxiety across socioeconomic status groups.
Xiaofei Qiao, Xi Chen, Zilin Wang, Jingyuan Yang, Li Lei
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Brief exposure to hopeful YouTube videos reduces depressive symptoms: Evidence from a preliminary study.
Yanhan Zhao, Danni Wang, Yang Yang, Zhijin Hou
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Technology, Mind, and Behavior

Virtual reality’s promise in fostering empathy and compassion: Mode-specific interventions for adolescents facing ethnic discrimination.
Eugene Agboifo Ohu, Karen Schrier, Jennifer Lansford, Cynthia Emami, Morenike Alugo, Adeola Babatunde, Ikeola J. Bodunde, Oluwatomilade Olominu, Deborah Odumbo, Serah Adetunji, Adanoritsewo Ogbitse, Judith Okonkwo, Princess Anifowose
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The revised extended iSelf: Disentangling the effects of smartphone position and ringing on cognitive performance and psychophysiological parameters.
Claudia Virginia Manara, Fabrizio Sors, Stefano Pileggi, Cristina Montesano, Maria Colomba, Mauro Murgia
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Media naturalness shapes newcomer proactive behavior.
Jerod C. White, Tara S. Behrend
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