I checked 15 psychology journals on Saturday, June 13, 2026 using the Crossref API. For the period June 06 to June 12, I found 25 new paper(s) in 9 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.
Self-reported expressibility predicts communicative success: Open dataset, validation, and simulation
Aleksandra Ćwiek, Susanne Fuchs, Wim Pouw, Ơárka Kadavá
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Referential communication experiments, in which participants negotiate meaning without conventional language, have provided insights into the origins of language and the modalities that accompanied its early forms. However, these experiments are resource-intensive, limiting sample sizes and the diversity of stimuli. This study provides an empirical validation of expressibility ratings – participants’ subjective judgments about their ability to communicate concepts through different modalities – as an efficient alternative to laboratory-based production experiments. We collected expressibility ratings for 207 concepts across three modalities: gesture-only, vocalization-only, and combined gesture-vocalization. These ratings were empirically validated against a production experiment in which participants attempted to communicate 84 selected concepts. We measured communicative success using binary accuracy (correct/incorrect) and continuous semantic similarity between guesses and targets. Results strongly support the empirical validity of expressibility ratings. Higher expressibility ratings reliably predicted greater guessability (both measures) and required fewer corrective attempts when feedback was provided. Feedback improved exact matches but not semantic similarity. Modality comparisons revealed that gesture-only and combined modalities performed equivalently and both substantially better than vocalization-only. To further showcase the utility of the ratings, we created robust simulations to investigate potential bias in concept selection for stimuli. The analysis examined varying semantic domains and stimulus and participant numbers, finding no systematic bias toward gestural superiority, suggesting robust modality differences. The strong correspondence between expressibility ratings and actual communicative success demonstrates that humans have intuitions of their nonlinguistic communicative abilities. These findings establish expressibility ratings as a methodologically efficient tool for studying modality affordances, enabling larger-scale investigations with enhanced statistical power and broader conceptual coverage.
Automatic quantification of lexical ambiguity using large-scale word association data
Ignacio Iglesias, Blair C. Armstrong, Julieta Laurino, Laura Kaczer, Álvaro Cabana
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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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Psychometric functions for temporal discrimination: Duration or log duration?
Miguel A. García-Pérez, Rocío Alcalå-Quintana
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Duration discrimination data collected with single-presentation tasks (e.g., bisection or temporal generalization tasks) or dual-presentation tasks (e.g., greater–less or same–different tasks) are usually analyzed by fitting psychometric functions. The independent variable in these functions is test duration measured in seconds or milliseconds. In contrast, the independent variable is log stimulus magnitude in psychometric functions for discrimination in other sensory modalities, most often because of the applicability of Weber’s law. We report a study aimed at determining empirically whether duration discrimination data are best described by psychometric functions of duration or log duration. We first conducted a simulation study to identify the design (type of task, number of test durations, number of trials, etc.) with which the generating psychometric function (of duration or log duration) fit the data substantially better than the impostor function. Based on these results, we conducted an empirical study with the same–different task that adaptively administered 1,200 trials over 11 test durations around the standard duration. We collected 45 datasets and fitted both types of psychometric function in each case. By the loglikelihood-ratio statistic, psychometric functions of duration fitted the data better in only 7 of 45 cases (15.6%), in agreement with simulation results obtained when data were generated by psychometric functions of log duration. Analysis of data from 69 published papers (totaling 17,000+ psychometric functions) also indicated better fit of psychometric functions of log duration in the expected proportion given the typically small numbers of trials per function.
New methodological and software tools for probing moderation in intrinsically nonlinear models
Haley E. Yaremych, Kristopher J. Preacher
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The Person-Reported Outcome of Conversational Success (PROCS): Tool development and psychometric validation
Camille J. Wynn, Samantha Budge, Carolyn R. Baylor, Tyson S. Barrett, Stephanie A. Borrie
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Despite the centrality of successful conversation to well-being, psychometrically developed and validated tools to measure this construct are lacking. The purpose of this study was to develop and validate the Person-Reported Outcome of Conversational Success (PROCS), a measure of conversational success. We define success as the degree to which an interlocutor evaluates a conversation as beneficial, worthwhile, and/or satisfactory. In phase one of development, an initial draft of the PROCS was created based on a literature review, expert input, and established frameworks in communication research. In phase two, cognitive interviews were conducted with 39 participants to assess the measure’s content, format, and usability and further refine the measure. In phase three, 50 participants completed the PROCS in live embodied conversations to assess the measure’s practical effectiveness and usability. Finally, in phase four, psychometric validation was completed using data from 817 participants who completed the PROCS based on recently recalled conversations. The final version of the PROCS can be used to quantify the success of a single conversation. Careful planning of the initial draft of the PROCS coupled with input from participants from a diverse set of user groups across multiple phases of development, ensures the measure’s validity, clarity, usability, and versatility. The PROCS is a valuable tool for assessing conversational success, with applications in both research and clinical practice.
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

Generic title: Not a research article
Corrigendum to ‘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 162 (2025) 108455, 172 (2025) 108744]
Nhan Duc Nguyen, Ngoc-Anh Truong, Pham Quang Dao, Huan Hong Nguyen
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Perceived Algorithmic Attraction in GenAI-Generated Pedagogical Agents: Dimensions and Effects on Learner Trust and Motivation
Fu-Song Hsu, Wei-Ting Pai, I-Chia Tsai
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The Role of Anthropomorphized Artificial Intelligence in Shaping Consumer Mental Models and Emotional Experience in Digital Branding
Samira Nazari Ghazvini, Behnaz Ahmadzadeh Ardebili, Amir Heidari Arash, Shokoufeh Hajmalek, Mohammad Hossein Vafa, Hassan Nosrati
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Visual Feedback Design and Cognitive Immersion: A Mediated Model of Performance Pressure, Satisfaction, and Skill Depth
Min Jou, Yungwei Hao
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Risk and protective patterns of adolescent phubbing: A pattern-oriented study using association rule mining
Erdal Görkem Gavcar, Çağlar ƞimßek, Ahmet BĂŒber, Ömer Baßay, BĂŒrge Kabukçu Baßay, Merve Aktaß Terzioğlu, Serdar İplikçi
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Journal of Experimental Social Psychology

Selective ignorance? The role of the information target in allocation decisions
Hagit Sabato, Ilana Ritov
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Is it my fault? How attributing exclusion to norm violations triggers self-directed emotions
Larissa C. Damp, Selma C. Rudert
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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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Morality cut both ways: The role of cognition and emotion in attitude moralization and demoralization.
Paul E. Teas, Linda J. Skitka
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Multivariate Behavioral Research

Generalizing Causal Effects to a Target Population Without Individual-Level Data from the Target Population
Wen Wei Loh, Dongning Ren
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Psychological Methods

A unified framework for psychometrics in experimental psychology: The standardized generalized hierarchical factor model.
Ricardo Rey-SĂĄez, Alicia Franco-MartĂ­nez, Javier Revuelta, Miguel A. Vadillo
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Structured hierarchical regression for Likert scales including dispersion effects: Models and fitting tools.
Gerhard Tutz, Moritz Berger
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Psychology of Music

Exploring Musical Rewards in Music Teacher Education: A Comparative Study
Diego CalderĂłn-Garrido, Josep Gustems-Carnicer, Salvador Oriola-Requena
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Musical experience offers psychological, social, and emotional benefits, which depend on individual variability in response to music. These benefits are known as musical rewards. This article examines the musical rewards experienced by future music educators across different educational levels (primary, secondary, and conservatory) during their undergraduate and postgraduate studies. The Barcelona Music Reward Questionnaire (BMRQ) was administered to a sample of 164 future teachers. The results indicate that students score highly on musical rewards, particularly in music seeking and emotional evocation. Furthermore, differences between groups and genders were identified on certain BMRQ scales. The article concludes that understanding these rewards can contribute to improving the training of music educators at various educational levels and provides some teaching guidelines to enhance the development of these competencies.

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

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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