I checked 15 psychology journals on Tuesday, October 27, 2026 using the Crossref API. For the period October 20 to October 26, I found 48 new paper(s) in 12 journal(s).

Advances in Methods and Practices in Psychological Science

Registered Report: Replication and Extension of Nozaradan et al. (2011)
Karli M. Nave, Erin E. Hannon, Joel S. Snyder, Emma Alexandrov, Sarah C. Allen, Fernando Barbosa, Mara Breen, Alexandre Celma-Miralles, Thibault Chain, Joshua R. de Leeuw, Fernando Ferreira-Santos, Ahren B. Fitzroy, Ningyao Geng, Sean A. Gilmore, Reyna L. Gordon, Jessica A. Grahn, Paz Har-Shai Yahav, Kiara Holm, Falk Huettig, Anne Keitel, Christian Keitel, Eniko Ladanyi, Yiguang Liu, Psyche Loui, Grace A. Lourie, Inês Macedo, Cyrille L. Magne, Cecilie Møller, David Moreau, Srishti Nayak, Markus Ostarek, Dingyi Pan, Rita Pasion, Mariana R. Pereira, Danna S. Pinto, Eva D. Poort, Meg Renzelman, Frank A. Russo, Jan Stupacher, Parker Tichko, Lucy Wight, Chu Yi Yu, Elana M. Zion Golumbic
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Cognitive neuroscience has long sought to disentangle stimulus-driven processing from conscious perceptual processing. Some prior evidence for neural processing of perceived musical beat (periodic pulse) may be confounded by stimulus-driven activity. Nozaradan et al. controlled for stimulus factors and used frequency tagging to show increased brain activity at imagery-related frequencies when listeners imagined a beat pattern during an isochronous stimulus. However, it remains unclear whether this effect is replicable and whether it reliably reflects conscious beat perception. In this registered report, we present 13 independent replications using the same vetted protocol. Listeners performed the same experimental paradigm as in Nozaradan et al. with an added behavioral task on each trial to assess conscious perception of the imagined beat. Preregistered meta-analyses revealed smaller raw effect sizes of imagery condition (binary = 0.03 µV, ternary = 0.03 µV) than the original study (binary = 0.12 µV, ternary = 0.20 µV) with confidence intervals all overlapping with zero. Differences in full-sample estimated effect sizes (this study: N = 152, η p 2 s = .03–.04; 2011 study: N = 8, η p 2 s = .62–.76) suggest larger sample sizes are necessary to detect these effects reliably if they exist. In addition, only neural activity at the stimulus frequency predicted imagery-task accuracy, contradicting our hypothesis that beat-related frequencies would predict performance. Our findings suggest an overall failure to replicate all main effects from the original study. We discuss potential reasons for discrepancies with the original study and implications for the utility of frequency tagging for studying beat perception.
On the Limits of Contextual Malleability in Cognitive Performance: Commentary on Stoevenbelt et al. (2026)
David Moreau
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A Call for Greater Transparency in Piloting
Isaac J. Handley-Miner, Agata Bochynska, Brett Buttliere, Kai Li Chung, Mahmoud Elsherif, Christopher J. Graham, Neele Henriette Heiser, Hannah D. Loenneker, Bjørn Sætrevik, Yashvin Seetahul, Justin Sulik, Johanna Tomczak, Caroline Zygar-Hoffmann, Mary Beth Neff
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A pilot study is a preliminary investigation conducted before a full-scale research study. Although piloting is a common and valuable part of the research process, pilot studies are not systematically reported (or even acknowledged) in the psychology literature. In this article, we argue that establishing norms for regularly acknowledging preliminary research phases can improve many aspects of psychological research. Specifically, reporting pilot-study information can help researchers provide a more complete record of the research process, reveal selection biases in research designs that may affect the generalizability of findings, evaluate others’ research more accurately, learn from other researchers’ successes and failures, uphold ethical responsibilities, and improve the methodological practice of piloting. We conclude with three concrete suggestions for near-term changes to help pilot reporting become standard practice: Scientific communities and institutions should develop simple pilot-reporting templates, journals should provide clear pilot-reporting guidance for authors, and authors should acknowledge when pilot studies were run and share relevant materials and data. Current reporting standards favor conclusive and polished research narratives, but such narratives are the end product of a complex scientific process that should also be shared. A truly transparent science should spotlight processes, such as piloting, that underpin the conclusions scientific articles draw.
Exploring the Impact of Nonlinearity on Effect Heterogeneity in Experimental Data
Jens H. FĂĽnderich, Lukas J. Beinhauer, Frank Renkewitz
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Heterogeneity has been proposed as a framework to improve psychological and behavioral science by identifying mechanisms that explain the differences between replications of an effect. The modal response to such differences is to search for relevant moderators—typically with limited success. We argue that monotonic nonlinear relationships can generate heterogeneous effects across replications when baseline levels differ, even in the absence of moderators. To evaluate this possibility, we introduce four descriptors of heterogeneity: effect heterogeneity, control-group heterogeneity, the intercept-slope correlation, and the rank correlation between control and treatment means. These characterize patterns consistent with linear, concave, or convex functional relationships. We apply this analytical framework to an initial pool of 55 meta-analytic multilab data sets. All data sets with heterogeneous effects also demonstrated control-group heterogeneity, and several patterns were in line with a concave functional relationship. In some cases, the association between baselines and effects accounted for a substantial proportion of effect heterogeneity. In addition, only a small number of data sets were directly at odds with a monotonic nonlinear functional form. Moreover, our results suggest that effect heterogeneity in multilab research reflects diverse data patterns rather than providing support for treating moderators as the modal explanation for effect heterogeneity. We discuss implications for multilab and meta-analytic practice, study design, and interpretations of effect heterogeneity. We advocate for a shift from treating only the effect-size distribution as the explanandum of the heterogeneity framework to more elaborate descriptions of heterogeneity.
Multiple Methods for Visualizing Human Language: A Tutorial for Social and Behavioral Scientists
Veerle C. Eijsbroek, August H. Nilsson, Leon Ackermann, Zhuojun Gu, Clara Wiebel, Adithya V. Ganesan, Katarina Kjell, H. Andrew Schwartz, Oscar N. E. Kjell
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Humans use language to communicate psychological experiences. Advancements in natural language processing have enabled researchers to quantitatively study and assess psychological states and behaviors through language. Insights from these language analyses are often best conveyed through visualizations. Data-driven visualizations of how language statistically relates to psychological dimensions can help interpret assessment scores, uncover meaningful patterns, and understand the intricate relationships between language use and mental states. Visualizations can be used to differentiate between related constructs (e.g., How does language related to depression versus anxiety differ?), understand the validity of assessment tools (e.g., Does the language related to high depression severity match with depression theory?), and explain language-based assessments (e.g., Which language is indicative of higher depression severity in a language-based assessment?). In this tutorial, we demonstrate how to transform language data into visual insights using the text and topics packages in R. We provide practical guidance on creating four types of visualizations based on different language-analysis techniques, examining how language-use patterns are statistically associated with psychological constructs. We visualize (a) individual words and phrases (n-grams), (b) topics (word clusters), (c) words in the word-embedding space, and (d) relevant language examples. The different visualizations offer complementary perspectives, visualizing linguistic elements from individual words to overarching topics and text examples. The underlying methods range from correlations between individual words to more advanced techniques, including topic modeling and large language models. By making these methods accessible, we aim to empower researchers to use language visualizations for meaningful, data-driven insights.
Analysis Blinding as a Complement to Preregistration: A Tutorial for Network Analysis
Ria H. A. Hoekstra, Karoline B. S. Huth, Nikola Sekulovski, Mia Delhalle, Alexandra Sarafoglou
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Network analysis has become a popular computational-modeling approach in psychological research and is now increasingly used to address confirmatory research questions. However, preregistration of such analyses remains rare and even when implemented may leave room for researcher degrees of freedom, particularly when data-dependent decisions are difficult to fully anticipate. In this tutorial, we demonstrate how researchers can safeguard against bias by using analysis blinding as a complementary step to preregistration. The method involves temporarily altering the data to remove the key effect of interest while preserving all other aspects. Analysis blinding makes it possible to explore important features of the data, for instance, spotting outliers or adjusting the computational model, without introducing bias. In this tutorial, we present three common research questions in network analysis and show how they can be addressed using analysis blinding to safeguard their confirmatory nature. We use data from previously published studies employing network analysis and offer a practical, step-by-step guide along with R code that researchers can adapt to their own data and research questions.

Behavior Research Methods

Can large language models code meaning-making? A multi-model validation of automated autobiographical reasoning scoring in Chinese adolescent narratives
Bin Wang, Chengnuo Zhang, Yiwen Cai, Zhirui Li
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Dimensional and categorical emotional ratings of Russian nouns: The ENRuN-2 database
Dmitry Lyusin, Tatiana Sysoeva
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A web-based spot-the-difference paradigm for studying social information processing in naturalistic visual scenes
Yiping Ge, Qiyu Xia, Guoyu Li, Yi Jiang, Li Wang
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Evaluating methods for testing publication bias in meta-analyses with confounding covariates: A simulation study
Man Chen
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Selective publication of favorable results can bias meta-analytic estimates and threaten the validity of meta-analyses. Many methods that detect and adjust for publication bias perform poorly under substantial between-study heterogeneity. Heterogeneity complicates publication bias assessment because study characteristics may be associated with both effect size estimates and standard errors. These characteristics can induce an effect-precision association that regression-based diagnostics may misattribute to selective publication when such characteristics are omitted. However, it remains unclear how best to incorporate these confounding characteristics across methods and how their performance varies with confounding level, selective publication, residual heterogeneity, and the number of studies. To address this gap, I conduct an extensive Monte Carlo simulation evaluating Egger-type regression tests, residual-based tests, and a likelihood-ratio test of the three-parameter selection model (3PSM) under the one-step p  value selection mechanism. Results show that when confounding covariates were ignored, Egger-type regression tests and residual analyses exhibited inflated Type I error rates, whereas the 3PSM likelihood-ratio test maintained near-nominal, albeit slightly inflated, Type I error rates across conditions. When confounding covariates were incorporated, Egger-type tests had well-calibrated Type I error rates, residual analyses based on residualizing effect sizes alone tended to be conservative, and the 3PSM test showed slight inflation. Nevertheless, 3PSM consistently yielded higher power than other methods. Overall, the findings suggest that Egger-type regression tests and 3PSM can be used as complementary analyses for assessing selective publication when confounding covariates are present.
The SPOT Grid: Naturalistic images with predefined settings, patterns, objects, and textures
Zall Hirschstein, Mariam Aly, Chris Baldassano
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Webcams can be used to study eye movements during reading
Marina Serrano-Carot, Bernhard Angele, Hemu Xu, Martin R. Vasilev
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Eye movements have revealed a wealth of information about how readers process written language. Modern eye trackers can record eye movements in the lab with high accuracy. However, such equipment is expensive, and participant testing is labour-intensive. Kaduk et al. (Behav Res Methods 56(5):5002–5022, 2023) recently reported that webcam eye tracking may be a viable alternative, showing that webcams achieved correlations with laboratory eye trackers of ~0.83 during a free-viewing task. We conducted three experiments to test whether webcams can be used to study eye movements during reading. Participants read short sentences with a target word frequency manipulation while their eye movements were recorded with both an EyeLink system and a webcam in the laboratory (co-registration, Experiments 1 and 2) or online with their own webcam (online study, Experiment 3). In the lab, the webcam-based system recorded raw gaze positions that were highly correlated with the EyeLink (median r = 0.805), replicating Kaduk et al.’s results. We also found evidence for word frequency effects in the webcam data, but there was more noise than in the EyeLink data. In the online study, data quality was much poorer, but we still found reliable effects that were consistent with those observed in the laboratory. In summary, webcam-based eye tracking may be viable for studying reading, especially under laboratory conditions. However, obtaining useful data may require collecting many more observations when using webcams than with high-accuracy eye trackers.
Reducing participant burden of ESM-based monitoring of mood disorder onset through variable sample size EWMA
Fien De Pauw, Evelien Schat, Francis Tuerlinckx, Eva Ceulemans
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Computers in Human Behavior

Repairing the Lover: Relational Breakdown and Restoration in Human–AI Romantic Interaction
Yuqing Liu, Siyue Ren, Huizi Han, Yan Luximon
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Beyond Access: Engagement with Conversational AI-Assisted Feedback Shapes Cognitive Load in Digital Game-Based Learning
Anna Wenzel, Jan-Martin Geiger, Andreas Liening
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The Internet is Just a Tool: Neither Transactive Memory Systems nor Cognitive Extension Fully Explain Knowledge Conflation
Jenna R. Donet, Philip H. Marshall, Michael J. Serra
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Not All Family Neglect Is Equal: How Neglect by Adult Children Versus Spouses Relates to Compulsive Smartphone Use Among Older Adults in China
Yu Jia, Jiashen Huang, Wenjing Pan
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Sharing for better health: Exploring age, health data sharing behavior, and relatedness needs in mobile health apps
Eun Hwa Jung, Jiyoung Chae
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Group Processes & Intergroup Relations

Pronouns, Faces, and Voices: How Gender Identity Labels and Phenotypic Cues Influence Anticipated Anxiety and Avoidance
Brandon R. Cohen, Gina A. Paganini, Lindsay Goolsby, Camille K. Abelanet, E. Paige Lloyd
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When perceivers encounter novel others, perceptual cues to gender (vocal tones, facial structure) and gender labels (e.g., pronouns) can influence impression formation. However, most work examining gender cues and impression formation examines the effects of either a perceptual cue or a gender label on judgments of others. The current work aimed to understand how perceptual cues from others’ faces (Study 1) or voices (Study 2) combined with binary (e.g., she/her) and nonbinary (e.g., they/them) gender labels influence perceivers’ anticipated anxiety and avoidance. Both studies found that perceptual cues and gender labels interacted to inform anticipated anxiety and avoidance. For binary gender labels, cue-label pairings that diverged from societal expectations of gender (e.g., he/him paired with feminine faces or voices) led perceivers to report greater anticipated anxiety and avoidance than pairings consistent with societal expectations (e.g., he/him paired with masculine faces or voices). For nonbinary gender labels, findings were inconsistent across studies. Faces paired with nonbinary pronouns led to more anticipated anxiety and avoidance when the faces were masculine or androgynous vs. feminine. These findings did not extend to voices. This work provides initial evidence that gender labels and perceptual cues to gender may interact to influence perceivers’ anticipated anxiety and avoidance, thereby providing insights into gender-based impression formation that may be consequential for biases toward and discriminatory treatment of gender-diverse individuals.
Racial Bias Masquerading as Nostalgia: Nostalgic Longing and Opposition to Increased Racial Representation in the Media
Mason D. Burns, Bryor D. Brown, Teagan A. Robbins
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Racial/ethnic minority diversity in the mass media has increased in recent years, in part due to racebending—non-White performers portraying traditionally White characters. Racebending is, however, frequently met with backlash, with opponents expressing nostalgia for original representations and decrying racebending as deviating from traditional portrayals. Although expressing nostalgia is seemingly race-neutral, we reasoned that expressing nostalgia to decry racebending is, for some people, an indirect means of expressing biased attitudes that allows racially biased people to oppose racebending without having to appear biased. Three studies ( N = 694) found that White supremacist attitudes predicted self-reported media nostalgia, which in turn predicted racebending opposition. However, nostalgia was inconsistently predictive of opposition to media changes. Specifically, we found that people higher in nostalgia opposed racebending, but not other deviations from traditional presentations (i.e., Whitewashing). These results suggest that nostalgia is used by some to indirectly oppose racial diversity in the media.
Implications of Self-observation for Metaperceived Gender Salience During Mixed-Gender Online Negotiations
Jacquie D. Vorauer, Carly Bretecher, Carly Klassen, Michael Kowalchuk
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Gender salience is a core construct in theories of gender-related affect, cognition, and behavior. This research suggests a novel, subtle trigger of gender salience in mixed-gender negotiations: the self-observation typically involved in online interaction. This trigger maps onto everyday experience and is qualitatively different from other documented triggers. We reasoned that given individuals’ enduring alertness to the possibility of being viewed unfavorably by others, seeing their own image would lead them to imagine that their interaction partner was focused on their gender—a visible distinctive group membership in the interaction context. A mini meta-analysis across three studies in which mixed-gender dyads negotiated online with self-view on or off (total N = 366 dyads) indicated that overall self-observation increased women’s but not men’s metaperceived gender salience, although there was some inconsistency across the studies. Analyses of indirect effects suggested that higher gender salience was associated with greater female disadvantage in negotiation outcomes.
Beliefs about Structural Racism Shape Perceptions of Racial Economic Inequality
Julian M. Rucker, Sa-Kiera T. J. Hudson, Bennett T. Callaghan, Xin Yang, Michael W. Kraus, Jennifer A. Richeson
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Despite vast racial disparities in economic outcomes, White Americans tend to overestimate their economic parity with Black Americans. White Americans also tend to be less likely to hold an understanding of racism that is rooted in structural processes, relative to individual-level biases. Across three studies ( N = 2,124 participants), the present research explored whether White Americans’ misperceptions of racial economic inequality are explained, in part, by a general lack of exposure to information about structural racism. In Study 1, we measured the extent to which participants conceptualized racism in terms of structural factors. In Studies 2 and 3, we experimentally manipulated exposure to information about structural racism. Specifically, participants listened to an audio clip discussing structural roots of racial discrimination, a comparable audio clip on implicit racial bias, or no clip at all. In each study, participants estimated Black–White equality in income and wealth, then indicated their support for reparative public policies (e.g., affirmative action in hiring). Across Studies 1–3, holding a structural understanding of racism was correlated with perceiving lower levels of contemporary Black–White economic equality and greater support for racial equity-enhancing policies. Further, exposing participants to information about structural racism led them to perceive lower levels of racial economic equality (vs. interpersonal racism or control information in Study 2) and express more equity-enhancing policy support (vs. interpersonal racism information in Study 3).
How Feminine and Masculine Do Cisgender People in the U.S. Think the Average Gender Nonbinary Person Is?
Anna-Kaisa Reiman
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Perception of gender is ubiquitous and consequential in social life. People who are perceived as women are expected to enact femininity, whereas people who are perceived as men are expected to enact masculinity. How do gender nonbinary people fit into these binary assumptions? The present work examined the perceived femininity and masculinity of nonbinary people. In particular, cisgender, primarily straight/heterosexual, U.S.-based participants reported their assumptions about the assigned sex (Study 1; N = 315) or their perceptions of the femininity and masculinity (Studies 2–3; N s = 216 and 277) of the average nonbinary person. No apparent bias in terms of assumed sex or perceived femininity emerged, yet participants rated the average nonbinary person as reliably below the scale midpoint on masculinity. Accordingly, cisgender straight Americans’ perceptions of the average nonbinary person may in part reflect a tendency to safeguard masculinity.

Journal of Experimental Social Psychology

A signal detection analysis of source effects on misinformation susceptibility
Nyx L. Ng, Fabian M. Wurzinger, Bertram Gawronski
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Recovering from inauthenticity: Counterfactual thinking and the consequences of feeling inauthentic
Madelyn H. Church, Kianna M. Arthur, Kyle J. Dickey, Grace N. Rivera
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Journal of Personality and Social Psychology

Anchored in truth but driven by grandiosity: A process account of narcissistic self-enhancement.
Christoph Heine, Constantine Sedikides, Michael Dufner
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Shades of traits across languages: Comparisons of Dutch, Polish, Czech, and Serbian structures of behavioral items.
Boele De Raad, Nasturcja Toruj, Oleg Gorbaniuk, Martina Hřebíčková, Petar Čolović, Biljana Roganović, Snezana Smederevac
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Multivariate Behavioral Research

Mode-Matched Inverse-Gamma Priors for Variance Components in Bayesian Multilevel Models
Liu Liu
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Reducing Boundary Estimates and Increasing Power in Detecting Individual Differences in Change: The Effect of Adding a Quadratic Term
Manshu Yang, Lijuan Wang, Scott E. Maxwell
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MI- Random rPQL : A Variable Selection Method for Linear Mixed Models with Missing Data
Yutian T. Thompson, Yaqi Li
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Possible Solutions to Heywood Cases in Confirmatory Factor Analysis
Yijun Cheng, Weicong Lyu, Oscar L. Olvera Astivia
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Personality and Social Psychology Bulletin

Helpful and in Danger: Attributes and Correlates of Perceived Occupational Heroism
Jean Monéger, Roger Giner-Sorolla
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Some occupations such as firefighters are described as heroic, while others, such as healthcare workers, are applauded as “heroes” in crises. In two preregistered correlational studies conducted on representative U.K. samples, we evaluated theory-based attributes of occupational heroism, and its relationship to specific policy-relevant attitudes toward occupations. In Study 1 ( N = 430), we confirmed that occupational heroism relates to the perceived helpfulness and risk exposure of workers. In Study 2 ( N = 840), we further showed that occupational heroism is associated with a moral shield: workers’ hero status correlates with decreased acceptability of criticism toward them, and increased support for deregulating them and protecting them from punishment for rule-breaking. Unlike previous findings suggesting a willingness to exploit heroized workers, heroism correlated with increased gratitude toward workers, support for their demands, and perception that they are vulnerable. Societal consequences and relevance for policy-making are discussed.
Less Is More: Why and When Having Less Signals Competence
Ruobing Fu, Jingyi Lu
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Living with less has become increasingly popular in contemporary culture. It can simplify people’s lives and enhance their well-being. Beyond these intrapersonal benefits, we document a novel, interpersonal benefit of having less: individuals who own fewer possessions are perceived as more competent than those who own more. This effect arises because observers infer that they rely more on reasoning rather than feelings in decision-making. We further develop a three-condition descriptive model specifying that the effect emerges when having fewer possessions appears voluntary, when the possessions are primarily non-hedonic, and when the quantity of possessions is sufficient to meet minimum needs. This research extends the literature on the benefits of having less from an intrapersonal to an interpersonal perspective and identifies possession quantity as a new cue for perceived competence.
Implicit Prejudice Differentially Predicts Placement Into Valuable and Scarce Opportunities
Yeji Park, Stacey Sinclair
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Racial excellence gaps persist, partly due to unequal participation in advanced learning opportunities. Guided by the opportunity hoarding framework, this research investigates whether White Americans’ pro-White/anti-Black prejudice differentially predict simulated Advanced Placement (AP) course admission decisions, and under what conditions—when the opportunity is valuable, scarce, or both. Across two experiments, we observed an unexpected overall pattern in which Black students were placed into higher priority tiers than White students. Nonetheless, greater implicit prejudice predicted larger White–Black differences in placement decisions, explained by placing Black students into lower tiers rather than White students into higher tiers. Critically, we found preliminary evidence that this pattern emerges only when AP participation was described as both valuable and scarce. Explicit prejudice showed less consistent associations with differences in placement decisions across studies. The valuable and scarce nature of advanced learning opportunities may amplify the effect of implicit prejudice in deciding who deserves access.
Inferring Struggle, Judging Strength: How Inferred Adversity and Sympathy Shape Competence Evaluations of Black Frontline Employees
Shahin Sharifi
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How do racial inferences shape third-party evaluations of employee competence? Across four experiments, White U.S. observers judged Black frontline employees as more competent than otherwise comparable White employees in service-failure encounters involving a Black customer. This pattern was consistent with a serial process in which employee race cued greater inferred adversity, which elicited sympathy, thereby elevating competence judgments. Study 1 established the competence difference and its association with lower negative word of mouth. Study 2 showed that behavioral awkwardness attenuated the difference. Study 3 supported the serial indirect pathway, and the supplementary pilot reproduced it without a service failure. Study 4 showed that structural-opportunity information increased inferred adversity for both employees and especially increased sympathy and competence judgments for the White employee, narrowing Black–White differences. The findings identify a context-dependent, normatively complex route through which presumed adversity can produce comparatively favorable yet racialized competence judgments.

Psychological Methods

How to design a panel study for investigating bivariate dynamics using continuous-time modeling.
Nuria Real-Brioso, Eduardo Estrada
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Correcting for publication bias in multivariate and multilevel meta-analysis: A multivariate step function selection model approach.
Robbie C. M. van Aert, Richard D. Riley, Dan Jackson
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Psychological Science

Serial or Parallel? Sublexical Scanpath Analysis of Eye-movement Sequences in Single Word Reading
Hend Lahoud, Adi Shechter, Titus von der Malsburg, David L. Share
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Are the letters of a written word processed sequentially or in parallel? Despite an abundance of research on visual word recognition, the evidence in this longstanding debate rests almost entirely on indirect inferences from word-length effects and conventional whole-word eye-movement measures. We sought direct evidence on the serial-parallel question by investigating sublexical gaze-fixation sequences—so-called scanpaths . This study is the first to apply scanpath analysis to fixation sequences within single words. Thirty-four Hebrew-speaking adult university students read aloud three-letter and five-letter real words and pseudowords while their eye movements were tracked. As expected, real words showed more parallel processing, whereas pseudowords displayed more sequential, letter-by-letter scanpaths. Surprisingly, longer words tended to elicit serial processing regardless of word familiarity. Our findings support the applicability of scanpath analysis in visual word recognition and its potential to open up new perspectives on word-recognition processes.

Psychology of Music

Personal and Social Listening Habits in the Streaming Era – Psychosocial Model
Tal Vaizman, Gal Harpaz
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The streaming era has reshaped the ways music is intertwined with personal and social experiences, including engagement, sharing, event participation, discussion, and the creation of meaning. This study introduces the Personal and Social Listening Habits (PSLHab) model, predicting Music Consumption Habits (MCH), by open-mindedness, via the mediation of (a) Music Mentoring Preferences (MMP), and (b) savoring art. A four-stage study, based on two samples ( N1 = 495; N2 = 499) of music listeners, led to the development of the PSLHab model. The operational validation confirmed the two new theoretical variables: four factors of MMP (human or algorithmic recommendations; active or passive search) and four factors of MCH (personal or social listening; discussing or attending events). Moreover, the results show that MMP and savoring art mediate the relationship between open-mindedness and MCH, while the preference for active use of algorithmic recommendations is the strongest mediator. The study highlights how personal characteristics and preferences for musical exposure through mentoring influence social and personal behaviors around music, and explores musical exposure’s implications regarding social interactions.
Music Training, Musical Ability and Language Skills in Children From Disadvantaged Socioeconomic Backgrounds
Carlos dos Santos-Luiz, Lisete Mónico, Gina C. Lemos, Graça Boal-Palheiros
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Research has suggested positive associations between music training and musical ability with language skills. However, these relationships in children from disadvantaged socioeconomic backgrounds remain understudied. One hundred and two children from the second grade of public primary schools, in an economically and socially disadvantaged area of Portugal, participated in this study. Classes were randomly assigned to the Music group (a musical programme of weekly 60-min sessions over 30 weeks) or the Control group. Regression analyses were performed using sex, IQ, musical ability, music training, and language skills (oral comprehension, reading and writing, and grammar). IQ was a significant predictor of all three dimensions of language skills. A significant effect was found for music training concerning oral comprehension, but not for grammar and reading and writing. Children’s musical ability was associated with language skills for oral comprehension, reading and writing, but not for grammar. Among the musical abilities, melody and memory were correlated with language skills. Our study found a positive effect of musical ability on language skills, while music training seems to play a less important role. These results suggest that the effects on language skills may be based on pre-existing differences in cognitive ability and musical ability.

Technology, Mind, and Behavior

Artificial intelligence agent tone influences perceived informational value and affective valence.
Michael J. Gazzanigo, Xiao Yang
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Technology-mediated connectedness: A systematic review of constructs and measurements.
Aike C. Horstmann, Nicole C. Krämer
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Beyond good and bad: An in-depth study of student and teacher views on generative AI in high school.
Sarah I. Segall, Tal Waltzer, Gail D. Heyman
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Physicians trust artificial intelligence (AI) less in complex cases but rely on it just as much.
Nadine Schlicker, Noëlle Steffens, Ali Kholmovaia, Orestis Loukas, Leander E. Melms, Martin C. Hirsch, Markus Langer
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Network examination of online gambling disorder, psychological distress, and daily functioning: Comparative role of maladaptive personality traits.
Jakub Helvich, Eva Migalova, Peter Tavel
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Implementation of phone ban policies in school: A secondary analysis of a phone ban intervention in South Australia.
Stéphanie Baggio, Tracey Wade, Marcela Radunz, Christina R. Galanis, Joël Billieux, Vladan Starcevic, Blake Quinney, Daniel L. King
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Perceived coworker emotions in social media communication and job satisfaction: Anger and happiness as mediators and problem solving and gender as moderators.
Ming-Hong Tsai, Tram Ngoc Hoang
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Beyond self-report: Objective smartphone screen time and its associations with autistic traits, personality, and mental health.
Mustafa Elmi Ibrahim, Mariam Bahameish, Christopher Kannen, Zied El Houki, Dena Al-Thani, Christian Montag
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