I checked 15 psychology journals on Thursday, March 19, 2026 using the Crossref API. For the period March 12 to March 18, I found 30 new paper(s) in 9 journal(s).

Advances in Methods and Practices in Psychological Science

Ensuring Transparency and Trust in Supervised-Machine-Learning Studies: A Checklist for Psychological Researchers
Hanyi Min, Feng Guo, Tianjun Sun, Mengqiao Liu, Frederick L. Oswald
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Machine-learning (ML) algorithms are being rapidly incorporated into the work of psychologists given their capability and flexibility in analyzing large-scale, complex, or otherwise messy data sets. In this context and in the spirit of open science, ML research should be conducted in a transparent, understandable, and ethical manner. However, publications by psychology researchers and practitioners show a troubling lack of consistency in reporting ML information. Given that ML offers a wide range of analytical options, in this article, we address an important need by providing a comprehensive, open-science checklist that specifies the information researchers should disclose at each stage of a supervised-ML project—from data collection and preprocessing to model selection, evaluation, interpretation, and code sharing. We hope that psychological researchers will benefit from this checklist when reporting ML results and will adapt and extend this checklist further in the future.
SCORES: A Clustering Tool for Free-Text Responses
Luis Klocke, Thekla Morgenroth, Yanzhe Zeng, Benjamin Paaßen
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Free-text responses are a crucial part of psychological research, enabling participants to respond without bias toward a predefined set of answers. Unfortunately, many established methods for analyzing such responses require extensive manual coding, which is time- and resource-intensive. To address this issue, automatic-processing methods based on word embeddings and clustering techniques have been proposed. In this article, we introduce SCORES (Semantic Clustering of Open Responses via Embedding Similarity), a user-friendly, graphical tool that makes such automatic methods easy to use and understand for psychological researchers.

Behavior Research Methods

Dynamic measurement invariance cutoffs for longitudinal and dyadic data
Daniel McNeish
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GazePlotter: An open-source solution for the automatic generation of scarf plots from eye-tracking data
Michaela Vojtechovska, Stanislav Popelka
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Eye-tracking is widely used to study perception, learning, and decision-making, yet visualising temporally structured gaze behaviour remains challenging. Scarf plots (also known as sequence charts) help illustrate when and where participants focus attention, but existing tools are often proprietary, static, or require programming expertise. GazePlotter is an open-source, browser-based application designed to lower these barriers. GazePlotter automatically processes raw exports from six eye-tracking software tools, including Tobii Pro Lab and GazePoint Analysis, and generates interactive, customisable scarf plots. It supports dynamic areas of interest (AOIs), multiple timeline modes (absolute, relative, ordinal), and enables side-by-side comparisons across participants, groups, or stimuli. Complementary visualisations—such as bar charts and transition matrices—can be combined within interactive dashboards. The application runs entirely in the browser (available at https://gazeplotter.com ), preserving data privacy and requiring no installation or registration. Its data pipeline—from import through parsing, AOI aggregation, and export—was validated against proprietary software outputs, with high agreement across key metrics. Parsing is memory-efficient and tested on multi-gigabyte datasets, with consistent functionality across Chrome, Firefox, Safari, and Edge. A task-based usability evaluation demonstrated successful task completion and positive perceived pragmatic and hedonic quality among participants with prior experience in eye-tracking methodology. By enabling non-programmers to create exploratory visualisations directly from raw exports, GazePlotter makes temporally structured gaze data accessible for reproducible, shareable visual analysis. Beyond eye-tracking, the same workflow generalises to any temporally ordered categorical sequence from a compatible CSV input.
Iconicity and transparency in Dutch Sign Language
Annika Schiefner, Floris Roelofsen, Beyza SĂŒmer
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Iconicity in sign languages, visually motivated relationships between form and meaning, is closely tied to transparency, or the guessability of meaning based on its form. Yet, how to best measure this relationship remains contentious. This study compares iconicity ratings and transparency scores for 1412 lexical signs in Dutch Sign Language (Nederlandse Gebarentaal, NGT) across deaf NGT signers and Dutch and German non-signers. In this paper, we show that iconicity is perceived differently by the different groups of raters and replicate past findings that signers perceive signs from their own sign language as more iconic than non-signers do. No such differences are found between the two groups of non-signers. Our results show that Dutch non-signers’ performance on a transparency task is best predicted by iconicity ratings provided by participants from the same population and by non-signers more broadly. This has important implications for psycholinguistic research, as we show that there is no single “correct” population providing the best iconicity ratings. Instead, rating participants should be matched to the target populations on relevant dimensions to meaningfully predict outcomes in psycholinguistic studies. With this paper, we provide an extensive database of NGT signs with iconicity ratings and transparency scores, available as a reference database for Dutch Sign Language research. The database is aligned with glosses and item-IDs used in the NGT Signbank and Corpus projects, allowing for easy combination of our rating data with phonological and semantic information provided by those databases.
An autoregressive latent change score model for randomized pretest, posttest, follow-up designs
Sarfaraz Serang, Annabelle H. Reese, Sarah R. Edmunds
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Computers in Human Behavior

Self-Regulation and overreliance on artificial intelligence: Unpacking a Paradox through a Mixed-Methods Study in Higher Education
HĂ©ctor Galindo-DomĂ­nguez, Nahia Delgado, MartĂ­n Sainz-de-la-Maza, Jose-MarĂ­a Etxabe
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Is anthropomorphizing AI worth it? The role of hands-on experience in shaping advice uptake
Sisheng Li, Qinghua He, Yawei Qi, Ofir Turel
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How artificial intelligence functionalities boost consumer benefit and impulse shopping? The significant role of responsive communication and conversational communication
Hua Pang, Yi Wang, Mohan Sun, Rui Wang
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Detection and Spill-Over Effects of AI-Generated Images in Political Messages: Evidence from Two Pre-Registered Experiments
Darian Harff
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Polite or playful? How service robot type and apology style influence negative word-of-mouth after service failures
Minjung Cho, Joonheui Bae, Erin Cho, Sung Hung Kevin Bae
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From curiosity to crime: Exploring pathways into criminal hacking
E.R. Leukfeldt, L.M.J. Bekkers
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GPT-4o reads the mind in the eyes
James W.A. Strachan, Oriana Pansardi, Marco Celotto, Eugenio Scaliti, Krati Saxena, Chunzhi Yi, Fabio Manzi, Alessandro Rufo, Guido Manzi, Michael S.A. Graziano, Stefano Panzeri, Cristina Becchio
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Potential effects of a gaming restriction policy on problematic use of the internet and time spent on the internet among Chinese adolescents: A longitudinal study
Chao-Ying Chen, I-Hua Chen, Wen-Li Hou, Pei-Yu Chou, Servet Üztemur, Xianhe Chen, Ru-Yi Huang, Marc N. Potenza, Zsolt Demetrovics, Mark D. Griffiths, Chung-Ying Lin
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When algorithms remember what employees forget: Reversing the common view that artificial intelligence (AI) workplace advisors lack context
Christopher R. Dishop
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From Stress to Emotional Well-being: Exploring How Multiplayer Online Video Games Foster Emotional Resilience Among Generation Z Players
Doarka Das, Juha Munnukka, Outi Niininen
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Gendered inequalities in online harms: Fear, safety work, and online participation
Florence E. Enock, Francesca Stevens, Tvesha Sippy, Jonathan Bright, Miranda Cross, Pica Johansson, Judy Wajcman, Helen Z. Margetts
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Group Processes & Intergroup Relations

Common threats promote patriotism: The role of perceived resource scarcity and socioeconomic status
Yang Yang, Chen Gao, Yuquan Tan, Liang Hou
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Humanity is currently confronted with numerous common threats such as pandemics, environmental pollution, and economic crises. Will these common threats affect the public’s attitudes towards their country? Three studies ( N = 955) explored the impact of common threats on patriotism. Results showed that only under conditions of high perceived resource scarcity does a common threat promote patriotism. In contrast, under conditions of low perceived resource scarcity, a common threat did not significantly influence patriotism. The role of socioeconomic status was also examined. The results indicated that under conditions of high perceived resource scarcity, individuals of low socioeconomic status, compared with those of high socioeconomic status, exhibited stronger patriotism when facing common threats. This finding provides a reference for uniting hearts and minds as well as for the effective crisis response of the state.
When our leaders harm outgroups: How leader prototypicality and situational ambiguity shape outgroup solidarity and leader punishment
Hakan Çakmak, Ernestine H. Gordijn, Yasin Koc
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When prototypical leaders commit organizational transgressions, highly-identified members of the organizations are motivated to punish their leaders, due to increased group-based image concerns. However, do similar dynamics apply when high-status ingroup leaders transgress against vulnerable low-status outgroups? Moreover, does this lead to outgroup solidarity? To address these gaps, we conducted three pre-registered experiments with European, Australian, and British samples, respectively ( N total = 1,039). The first two studies, in which we manipulated leader prototypicality, focused on EU and Australian leader transgressions regarding the treatment of refugees. Moderated mediation analyses showed that, when their leader was prototypical, high-identifiers exhibited greater outgroup solidarity, indirectly through increased group-based image concerns. The third study, conducted in the UK, examined prototypical leader transgressions regarding minority mental health issues following the 2024 riots. This study manipulated transgression ambiguity and found that high-identifiers’ image-based outgroup solidarity was more pronounced when the transgression case was clear-cut rather than ambiguous. Across all studies, low-identifiers expressed outgroup solidarity through perceptions of injustice about the treatment of outgroups, regardless of leader prototypicality and transgression ambiguity. These findings integrate the transgressive leadership literature with solidarity-based collective action research by highlighting leader prototypicality as a key factor in eliciting outgroup solidarity through image concerns among individuals highly invested in high-status transgressor groups, especially when transgressions are clear-cut. Implications are discussed.
Uncovering the toll: The impact of perceived discrimination on health among structurally advantaged and disadvantaged groups
Chantelle Kimberley, Zoe Bertenshaw, Chris G. Sibley, Danny Osborne
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Although a vast literature demonstrates that discrimination correlates negatively with health satisfaction, research has yet to examine whether within-person changes in perceptions of discrimination temporally precede declines in subjective health. Studies also overlook the possibility that the relationship between perceived discrimination and health satisfaction differs for structurally advantaged and disadvantaged groups. We address these oversights by utilizing 11 annual waves of data from a nationwide random sample of adults to examine the relationship between perceived discrimination and subjective health among Māori ( N = 9,298) and New Zealand Europeans ( N = 56,499). Results from a multi-group RI-CLPM reveal that perceived discrimination has a negative cross-lagged effect on within-person changes in health satisfaction for Māori, but not for New Zealand Europeans. These results highlight the asymmetrical consequences of discrimination between structurally advantaged and disadvantaged groups, underscoring the pervasive challenges minoritized communities continue to face.

Journal of Experimental Social Psychology

Two wrongs is what makes it more right: How retaliatory incivility receives social leniency
Merrick R. Osborne, Suhaib Abdurahman, Ali Omrani, Jackson P. Trager, Morteza Dehghani
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Smiling your way to happiness or misery? Experimental tests of competing perspectives
Nicholas A. Coles, Annabel Dang, Joao Francisco Goes Braga Takayanagi
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The effect of frameswitching on perceptions of decisiveness, creativity, and job fit
Sabrina Piccolo, AnalĂ­a Albuja
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Multivariate Behavioral Research

A Hierarchical Ordinal Regression Model for Treatment-Reversal Designs with Application to Non-Overlap Effect Sizes
James Ohisei Uanhoro, Megan Rojo
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Evaluating the Performance of R-Squared Measures in Multilevel Models
Diego Iglesias, Miguel A. Sorrel, Ricardo Olmos
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Personality and Social Psychology Bulletin

Liberals and Conservatives See Different Victims: Moral Disagreement Is Explained by Different Assumptions of Vulnerability
Jake Womick, Emily Kubin, Daniela Goya-Tocchetto, Nicolas Restrepo Ochoa, Carlos Rebollar, Kyra Kapsaskis, Samuel Pratt, Helen Devine, B. Keith Payne, Stephen Vaisey, Kurt Gray
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Moral disagreement across politics revolves around the key question, “Who is a victim?” Twelve studies explain moral conflict with assumptions of vulnerability (AoVs) : liberals and conservatives disagree about who is especially vulnerable to victimization, harm, and mistreatment. AoVs predict moral judgments, implicit attitudes, and charitable behavior—and explain the link between ideology and moral judgment (usually better than moral foundations). Four clusters of targets—the Environment, the Othered, the Powerful, and the Divine—explain many political debates, from immigration and policing to religion and racism. In general, liberals see vulnerability as group-based, dividing the moral world into groups of vulnerable victims and invulnerable oppressors. Conservatives downplay group-based differences, seeing vulnerability as more individual and evenly distributed. AoVs can be experimentally manipulated and causally impact moral evaluations. These results support a universal harm-based moral mind (Theory of Dyadic Morality): moral disagreement reflects different understandings of harm, not different foundations.
Is There a Price to Pretending? Examining the Potential Cost of (Perceived) Counterdispositional Openness
Evy Kuijpers, Bart Wille, Joeri Hofmans
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Although some studies demonstrated that counterdispositional behavior may be taxing, substantially more studies fail to provide evidence for this notion or even find beneficial effects of acting in a more extraverted or conscientious way. Because extraversion and conscientiousness are more socially valued and energizing in nature, it raises the question of what the consequences are of acting counterdispositionally on a more “neutral” personality dimension (i.e., openness). To address this issue, the current study examined the within-person relationship between (perceived) counterdispositional openness, positive affect (PA), negative affect (NA), and exhaustion. Using a 14-day experience sampling methods dataset ( N = 191 individuals and N = 14,095 repeated observations), we found that higher levels of (perceived) openness were associated with higher levels of PA and lower levels of exhaustion, while no relationship was found with NA. Hence, no costs were associated with acting out of character, even when considering subjective experiences of counterdispositional behavior.
Gender Differences in Aversion to Social Comparison Feedback
Judy Qiu, Selin Kesebir
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Many organizations offer their members social comparison feedback, which informs them how they perform relative to others. Previous research has linked social comparison feedback to improved motivation and performance. We propose, however, that such feedback has psychological costs that disproportionately impact women. Across six pre-registered studies, we show that social comparison feedback is more aversive and anxiety-inducing for women than for men. This gender difference persists after accounting for performance expectations and actual performance. Two mechanisms underlie women’s greater aversion to social comparison feedback: Compared to men, women are less competitive and more concerned that social comparisons will harm their relationships. Our findings extend social comparison research by distinguishing between self-initiated and externally imposed comparisons and documenting a novel gender difference. We discuss the hidden costs of a common feedback method and the need to consider gendered responses when designing feedback systems.

Psychological Methods

The invariance partial pruning approach to the network comparison in time-series and panel data.
Xinkai Du, Sverre Urnes Johnson, Sacha Epskamp
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Psychological Science

From Capture to Control: Initial Capture Increases Learned Suppression
Yue Zhang, Nicholas Gaspelin
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Salient stimuli have the potential to distract us from our immediate goals. Much research has therefore aimed to understand how we learn to use attention to resist distraction by salient stimuli. We propose a new hypothesis whereby an initial instance of distraction can improve future suppression of salient stimuli. Across three experiments ( N = 120 college students, aged 18–35 years), we provide evidence for this hypothesis using a new eye-tracking approach. The results demonstrated that an initial instance of distraction occurred before salient distractors were suppressed. Notably, if this initial instance of distraction was eliminated or weakened via experimental manipulations, learned suppression of the distracting stimuli was greatly reduced. Together, these findings suggest that attentional capture can serve as a learning signal that improves future attentional control. They also indicate that learned suppression emerges rapidly, which has strong implications for models of attention and cognitive control.