I checked 15 psychology journals on Friday, April 17, 2026 using the Crossref API. For the period April 10 to April 16, I found 51 new paper(s) in 12 journal(s).

Advances in Methods and Practices in Psychological Science

Effects of Psychological Distance on Mental Abstraction: A Registered Report of Four Tests of Construal-Level Theory
Sofia Calderon, Erik Mac Giolla, Karl Ask, Susanne Jana Adler, Jens Agerström, Burcu Akpınar, Nihan Albayrak, Francesca Romana Alparone, Shahrazad Amin, Antonio Aquino, Melissa Bachet, Baisile Baisile, Karin M. Bausenhart, Magali Beylat, Olga Bialobrzeska, Eliana C. Bloomfield, Lea Boecker, Matteo Bonora, Shannon T. Brady, Jared G. Branch, Nicole E. Brandy, Kelley T. Bui, Mariela Bustos-Ortega, Amparo Caballero, Andi Cai, Katarzyna Cantarero, Stephanie A. CĂĄrdenas, Pilar Carrera, Jung-Tzu Chang, Hsuan-Fu Chao, Andrew G. Christy, Jennifer A. Cook, Junhua Dang, Scott Danielson, William E. Davis, Cara de Boer, Elise de Groot, Jaye L. Derrick, Sarah Dittmar, Tim Döring, CĂ©line Douilliez, Martin Egger, Yannik A. Escher, Thomas Rhys Evans, Sofia Fabiani, Gilad Feldman, Nicole Fernandez, Julia Fischer, Magdalena Formanowicz, Malte Friese, Paul T. Fuglestad, Aurore Gaboriaud, Jessica Gale, Richard GamrĂĄt, Oliver Genschow, Omid Ghasemi, Mauro Giacomantonio, Karolin Gieseler, Hedy Greijdanus, SiobhĂĄn Mary Griffin, Doğa GĂŒl, Gul Gunaydin, Simona Haasova, Georgios Halkias, Christopher E. Hawk, Anna Helfers, Cindy L. Hernandez, Yanine D. Hess, Petr J. Horgos, Yehor Hrymchak, Markus Huff, Ezgi Ildırım, Biljana Jokić, Yoann Julliard, Pavol KacˇmĂĄr, Barbara Kaup, Hyunji Kim, Kyungmi Kim, Alan Kingstone, Kenan Koç, Lina Koppel, Anita Körner, BibiĂĄna KovĂĄcˇovĂĄ HolevovĂĄ, Paul Danielle Labor, Bronwyn D. Laforet, Fanny Lalot, Leonie Lamm, Sean M. Laurent, Sean T. H. Lee, Yi-Chen Lee, Edward P. Lemay, Zhicheng Lin, Yun-Kai Lin, Jia-Xin Long, David D. Loschelder, Katerina Makri, Harry Manley, NicolĂČ Maugeri, Randy J. McCarthy, Cillian McHugh, Katarzyna Miazek, Marina Milyavskaya, Coby Morvinski, Michaela MuchovĂĄ, SĂŒmeyye Muftareviç, Dominique Muller, Gideon Nave, Ben R. Newell, CĂ©cile Nurra, Marc Ouellet, Asil Ali Özdoğru, Mia Pagnani, Daniele Paolini, Frank Papenmeier, Hannes M. Petrowsky, Stefan Pfattheicher, Jean C. Picado, Ryan M. Pickering, Danka Purić, Alain Quiamzade, Jonathan E. Ramsay, Tristan Nicholas Renaud, MĂłnica Romero-SĂĄnchez, Robert M. Ross, Ángel SĂĄnchez-RodrĂ­guez, Julio Santiago, Marko Sarstedt, Luke Scally, Michele Scandola, Judith P. M. Schachtner, Simon Schindler, Andreas Segerberg, Emre Selcuk, VerĂłnica Sevillano, Edith Shalev, Xiaoyi Shao, Steven D. Shaw, Keyi Shi, Birte Siem, Pablo Solana, Meikel Soliman, Gaye Solmazer, Fatih Sonmez, Samantha K. Stanley, Janina Steinmetz, Adam W. Stivers, Aleksandra Szymkow, Maude Tagand, Yan Zhen Tan, Hilal Terzi, Miaomiao Tian, Gustav Tinghög, Ulrich S. Tran, David F. Urschler, Daniel R. VanHorn, Daniel VĂ€stfjĂ€ll, Bruno Verschuere, Amelie Verschueren, Anna Laura Vlad, Martin Voracek, Xiaotian Wang, Deming Wang, Lara Warmelink, Adam Kah Jjin Wee, Aaron Lee Wichman, Sera Wiechert, Karl-Andrew Woltin, Hoo Keat Wong, Jiawen Xu, Zai-Fu Yao, Siu Kit Yeung, Kumar Yogeeswaran, Iris ĆœeĆŸelj, Qing Zhang, Rene Ziegler, Timothy J. Luke
Full text
Construal-level theory (CLT) proposes that psychological distance influences the level of abstraction at which something is mentally construed: Things perceived as less probable (likelihood) or further away from the here (spatial distance), now (temporal distance), or self (social distance) are thought about more abstractly. In this international multilab study, we tested four basic hypotheses derived from core assumptions of CLT and explore potential moderators and boundary conditions of the effects. Participants ( N = 11,775) from 27 countries and regions were randomly assigned to one of four experimental protocols focused on different types of psychological distance (temporal, spatial, social, or likelihood), and each experiment manipulated psychological distance (close vs. distant). The protocols for temporal distance ( n = 2,941) and spatial distance ( n = 2,973) were direct replications of Liberman and Trope (Study 1) and Fujita et al. (Study 1), respectively. The remaining two protocols were paradigmatic replications, applying to social distance ( n = 2,926) and likelihood ( n = 2,936). The effects of psychological distance on construal level for the four present studies were as follows (positive effects are consistent with hypotheses): temporal, d = 0.08, 95% confidence interval [CI] = [0.003, 0.16] (effect in original study: d = 0.92); spatial, d = 0.04, 95% CI = [−0.03, 0.11] (effect in original study: d = 0.55); social, d = −0.27, 95% CI = [−0.34, −0.19]; and likelihood, d = 0.03, 95% CI = [−0.05, 0.11]. Pretests indicated that valence and abstraction were confounded in response options on the outcome measure. Controlling for this confound eliminated the hypothesis-inconsistent effect of social distance, d = 0.006, 95% CI = [−0.05, 0.07]. These findings provide limited evidence for the predictions of the theory and present a critical challenge for CLT.
Realizing the Full Potential of Big-Team Behavioral Science: How Global Collaborations Can Benefit From Participatory Open-Research Practices
Netta Weinstein, Sakshi Ghai, Tia Moin, Nicole Legate, Lennia Matos, Andrew K. Przybylski
Full text
Big-team science collaborations have been heralded as a solution to oversampling in a limited number of high-income countries. Despite early successes, there is insufficient involvement from the global community and unclear benefits to globalized science. The expansion of research from sites in North America and Europe to parts of the world where most people live can create the appearance of progress based on geographical diversity while neglecting the perspectives, problems, and knowledge specific to those populations. Here, we describe participatory open-research practices that bring global perspectives to open science. Participatory practices involve revising and transparently communicating worldviews, valuing humility over control, prioritizing team facilitation over management, and listening to versus instructing collaborators. We detail these concepts and their utility and provide recommendations for conducting robust, open, and culturally embedded research that will help realize the potential value of big-team science.
Just in Time or Just a Guess? Addressing Challenges in Validating Prediction Models Based on Longitudinal Data
Anna M. Langener, Nicholas C. Jacobson
Full text
A common goal of researchers using intensive longitudinal data is to develop models that predict emotions or behaviors, often using passively collected data from smartphone sensors or wearable devices. A frequent use case for such models is the development of just-in-time adaptive interventions (JITAIs). However, real-world effectiveness depends on rigorous evaluation. Previous research has highlighted challenges in selecting appropriate evaluation methods. To address these, we review key pitfalls in predictive modeling and provide recommendations for avoiding them. We focus on a common problem: the mismatch between development, evaluation and application, and use simulations to illustrate three pitfalls. First, although models may perform well from applying group-level validation (area under the curve [AUC] = .82), they may lack the ability in predicting within-persons change (mean AUC = .54, SD = .13). For JITAIs, this will prevent the model from identifying intervention-delivery moments and will discriminate only between individuals. Second, ensuring adequate variability in the outcome variable is critical. If outcomes remain stable, frequent prediction may offer little practical benefit. Third, selecting appropriate baseline models is essential; models that appear effective may underperform compared with simple baselines (e.g., AUC = .82 vs. AUC = .96). To address these pitfalls, we present recommendations for matching validation and evaluation strategies to the intended use-case scenario and provide a tool that can help researchers investigate whether their strategy and goal are misaligned. This can help improve the effectiveness of predictive models and increase their utility in real-world applications.

Behavior Research Methods

Employing large language models for cognitive heuristic stimulus validation in decision-making experiments
Thom Hawkins, Daniel N. Cassenti, Erin Zaroukian
Full text
Explanatory item response models for continuous data: A tutorial in R
Joshua B. Gilbert
Full text
Child’s play: A computational method for generating child-specific valence norms
Katharina Gloria Hugentobler, Astrid Haase, Jana LĂŒdtke, Sascha Schroeder
Full text
Research on affective processing depends on the availability of word norms. Norms for adults are widely available and can be computed for whole-language vocabularies by mapping semantic similarities from a semantic vector space to a list of label words. While such methods are abundantly studied for adults, comparable methodologies for children are few and far between. In this article, we explored whether computational methods can be used to estimate word norms for children using valence as an example. We systematically investigated the impact of two main methodological choices relevant for the computation: the source of the semantic space used to measure semantic distance and the selection of the words in the label list. In Study 1, we correlated the computational estimates from all combinations with valence ratings from adults and children. Our results indicate that norms derived from adult vector space models and label lists outperform other combinations. Norms computed based on these parameters correlate with children’s ratings at $$\varvec{r =.71}$$ r = . 71 and with adults’ ratings at $$\varvec{r =.74}$$ r = . 74 . In Study 2, we used estimates and human ratings to predict valence effects in a lexical decision task. Again, we found that norms derived from vector space models and label lists for adults outperformed other combinations and approximated the functional form of children’s and adults’ valence effects best. We discuss the practical implications of these findings. Additionally, a new set of valence ratings from children (mean age = 12.5 years) for 535 German words is made available.
ChildLens: An egocentric video dataset for activity analysis in children
Nele-Pauline Suffo, Pierre-Etienne Martin, Anas Suffo, Daniel Haun, Manuel Bohn
Full text
We present ChildLens, an egocentric video and audio dataset with detailed annotations for activities of naturalistic everyday experiences in children aged 3 to 5 years. A total of 109 h were recorded from 62 children in their home environment using a 140° wide-lens camera equipped with a microphone integrated in a child-friendly vest. Annotations include five location classes and 14 activity classes, covering audio-only, video-only, and multimodal activities. Good benchmark performance of two state-of-the-art models on the dataset—the Boundary-Matching Network for temporal activity localization and the Voice Type Classifier for detecting and classifying speech in audio—speak to the quality of the annotations. The ChildLens dataset will be freely available for research purposes via an institutional repository. It provides rich data to advance computer vision and audio analysis techniques and thereby removes a critical obstacle to studying the everyday context of child development, listed on the ChildLens website: https://www.eva.mpg.de/comparative-cultural-psychology/technical-development/childlens/ .
Obtaining robust practical fit indices with multiply imputed nonnormal data in structural equation modeling
Fan Jia, Terrence D. Jorgensen, Wei Wu
Full text
Introducing the Truth Effect Database (TED): An open trial-level resource promoting FAIR data in truth effect research
Sven Lesche, Annika Stump
Full text
The FAIR (Findable, Accessible, Interoperable, and Reusable) data principles form the foundation of the open data movement. However, while many current practices ensure data are findable and accessible, true interoperability and reusability remain limited. This paper introduces the Truth Effect Database (TED), a large-scale, trial-level, open database harmonizing data from illusory truth effect studies designed to enhance interoperability and reusability. TED currently integrates data from 59 studies in 29 publications, spanning 12,249 participants and 808,231 trials, accounting for a wide range of dispositional and contextual variables. To promote usability, TED focuses on user-friendly data submission using a custom entry website and data extraction using the R package acdcquery. These tools guide researchers through both data entry and retrieval, eliminating the need for direct interaction with the database’s internal structure. We illustrated the utility of TED through Bayesian multilevel analyses, highlighting substantial variance in the illusory truth effect at the subject level, moderated by the delay between exposure and judgment phases in truth effect paradigms. Beyond this first demonstration, TED provides the foundation for a wide range of future research. These include (living) meta-analyses, simulation-based power analyses, rigorous replication and reanalysis of existing studies, and the validation and development of formal cognitive models. As an open and extensible infrastructure, TED serves as a blueprint for sustainable, community-driven database development in psychological science.
A multidimensional-scaling study of images from diverse everyday-object categories
Robert M. Nosofsky, Adam F. Osth
Full text
We propose and implement an approach for deriving multidimensional scaling (MDS) solutions for objects from diverse everyday-object categories. The goal is for the MDS solutions to capture relative similarities between pairs of objects both within and across the categories. For example, if the members of the category apples are more similar to one another than are the members of the category lamps , then the MDS solution for the apples will be more compressed overall than the MDS solution for lamps. To achieve this goal, the key idea is that, rather than collecting similarity-judgment data one category at a time, we alternate in random fashion across trials the category from which the similarity-judgment data are collected. We hypothesize that if similarity-judgment data are collected one category at a time, observers may recalibrate their judgment scale with respect to each individual category, which could cause loss of information of overall discriminability relations across the different categories. By using the alternating-category approach, observers may be able to maintain a more nearly constant judgment scale across the different categories. We combine the alternating-category procedure with the use of metric forms of MDS that produce MDS solutions in which differences in overall discriminability relations across categories are maintained. We provide preliminary evidence of the success of the approach by showing that, when used as input to a simple computational model of recognition memory, the derived MDS solutions predict reasonably well the false-alarm rates associated with the different categories observed in an old–new recognition experiment.
Systematic classification differences across eye movement detection algorithms
Jonathan Nir, Leon Y. Deouell
Full text
Eye movement (EM) detection is a critical step in most eye-tracking (ET) research, typically relying on detectors –specialized algorithms designed to segment raw ET data into discrete oculomotor events. However, variability in detection algorithms and the lack of standardized evaluation frameworks hinder transparency and reproducibility across studies. In this work, we introduce pEYES , an open-source toolkit designed to streamline EM detection and enable robust, quantitative comparisons between detectors. The toolkit provides implementations for several widely used threshold-based detectors, along with multiple standardized evaluation procedures for assessing detection performance. Using pEYES , we evaluated seven detection algorithms on two publicly available human-annotated datasets containing recordings of subjects freely viewing color images. Performance was assessed using metrics such as Cohen’s kappa, relative timing offset and deviation, and a sensitivity index ( $$d{\prime}$$ d â€Č ) for fixation and saccade onsets and offsets. Engbert’s adaptive velocity-threshold algorithm consistently matched or outperformed the other detectors, occasionally achieving human-level precision. In contrast, several other detectors exhibited substantial variability in performance between datasets. We also found systematic differences in detection scores between fixation and saccade boundaries, with fixation offsets and saccade onsets detected more reliably than their counterparts. These findings highlight the importance of task- and dataset-specific detector selection in EM analysis. The pEYES toolkit is freely available, and its codebase – along with the analyses presented in this report – is accessible at https://github.com/huji-hcnl/pEYES . We invite the research community to use, extend, and contribute to its ongoing development. Through open collaboration, we aim to advance the rigor and reproducibility of EM detection practices.
Congruency and distance effects vary across simultaneous and sequential two-digit integer, fraction, and decimal 2AFC tasks
Isabella Starling-Alves, Eric D. Wilkey
Full text
Two-alternative forced choice (2AFC) comparison tasks are widely used to investigate how humans process complex information. However, it is still not fully understood how the format of these tasks influences cognitive strategies. In this study, we analyzed whether 2AFC tasks with simultaneous stimulus presentation provide the same information on how people process information as 2AFC tasks with sequential stimulus presentation. We investigated this question within the number domain. In particular, we investigated how the distance and congruency effects—which are interpreted as behavioral markers of holistic and fragmented number processing—vary across simultaneous and sequential versions of two-digit integer, fraction, and decimal 2AFC tasks. Undergraduate students ( n = 162) completed both simultaneous and sequential versions of two-digit integer, fraction, and decimal comparison tasks. Comparison pairs varied in numerical distance (near vs. far) and congruency (congruent vs. incongruent). Across all number types, we observed both distance and congruency effects. However, these effects differed by task format. In particular, a linear mixed model revealed that the congruency effect was stronger in simultaneous tasks with near-distance pairs and weaker in sequential tasks with far-distance pairs. The differences in the strength of the distance and congruency effects across simultaneous and sequential 2AFC task formats indicate that they play a critical role in shaping information processing strategies. Thus, our findings suggest that simultaneous and sequential 2AFC tasks engage distinct cognitive processes and should not be used interchangeably in cognitive research.
Munich Sentence (MuSe) Database: Completion norms and audio recordings for 619 German sentences
Elisabeth F. Sterner, Maximilian Stadler, Franziska Knolle
Full text
Prediction is a core feature of language, which is widely studied across research domains. The Munich Sentence (MuSe) database enhances reproducibility by providing sentence completion norms for 619 German sentences, including cloze probabilities and entropy estimates from up to 232 participants. Sentence completions were collected in two online studies in which participants completed sentence beginnings with a single-word response after either hearing (auditory sample, N = 133) or reading (visual sample, N = 98) the sentence beginning. All responses were manually preprocessed to correct typos and spelling mistakes and to label grammatical errors, proper nouns, and singular and plural variants of the same response. In addition to the sentence norms, we provide trial-level data with participant-level demographic information and subclinical autistic and schizotypal trait measures. Together with open-access R scripts or our web tool, this allows tailoring the cleaning and norming steps to integrate individual-difference measures. For a subset of 479 sentence beginnings, the database also includes professional audio recordings of sentence beginnings, which can be flexibly combined with 531 recordings of unique sentence-final words and implemented in auditory language paradigms. All material is freely accessible via the Open Science Framework ( https://osf.io/ktnze/overview ) and the MuSe webtool ( https://munichsentencedatabase.franziskaknolle.com/ ).
Moderation with a latent class variable: A tutorial and example
Dina Ali Naji Arch, Karen Nylund-Gibson, Marsha Ing
Full text
Moderation analyses allow a more nuanced understanding of the relationship between a predictor and an outcome. A limitation of traditional moderation analysis arises when addressing the hypothesis when using a moderator that does not account for unobserved heterogeneity in the population. This limitation can be addressed by extending moderation analyses to include a latent class analysis with auxiliary variables (as predictors and/or outcomes) where the moderator is the latent class variable. This tutorial specifies this extended moderation model with a latent class variable using the three-step manual approach (Asparouhov & Muthén, Structural Equation Modeling: A Multidisciplinary Journal , 21 , 329-341, 2014). Data from the Longitudinal Survey of American Life illustrates this approach within the context of science attitudes. Specifically, a latent class variable (science attitudes) is hypothesized to moderate the relationship between a predictor (science achievement) and an outcome (interest in science issues), while controlling for demographic variables.
Introducing the Naturalistic Expression Labeling Task (NELT): Associations with posed expression labeling, empathy, and general cognitive ability
Louisa A. Talipski, Romina Palermo, Clare A. M. Sutherland, Gilles E. Gignac, Linda Jeffery, Kate Crookes, Jeremy B. Wilmer, Eva G. Krumhuber, Jason Bell, Amy Dawel
Full text
As decoding emotional expressions is essential to navigating the social world, it is imperative that measures of facial expression labeling ability are psychometrically rigorous and easy to administer. Unfortunately, most studies have used images of prototypically posed expressions, which lack the nuance and variation of real-life expressions and are often perceived as fake. To address the need for a more ecologically valid measure of expression labeling, we introduce the Naturalistic Expression Labeling Task (NELT), modeled after an established posed expression labeling task. We investigated whether the NELT shows expected associations with empathy and general cognitive ability, and the extent to which these associations align with those found for the corresponding posed expression task, despite differences in the realism and perceived genuineness of the expressions. Across three studies, we found that the NELT had strong psychometric properties—including high reliability—that make it well suited to examining individual differences in expression labeling ability. While both the NELT and the posed expression task showed similarly sized positive associations with measures of cognitive and affective empathy, the NELT exhibited a stronger positive association with cognitive ability than did the posed expression task. Our findings suggest that naturalistic expressions can provide insights into expression labeling ability that are at least as robust as those derived from posed expressions. The NELT can serve as a valuable tool for researchers seeking to enhance the ecological validity of their studies by incorporating naturalistic stimuli.
A primer on intensive longitudinal psychometrics
Daniel McNeish
Full text
A transition evaluation model with probability-based effectiveness indicators—a new measurement model for problem-solving process data
Pujue Wang, Yuting Han, Hongyun Liu
Full text
Extrapolated Persian Lexical Affect Norms (E-PLAN) from best–worst judgments of valence, arousal, dominance, and concreteness
Fatemeh Nemati, Chris Westbury, Habib Rostami, Fatemeh Alavi
Full text
A comprehensive, open-source battery of movement imagery ability tests: Development and psychometric properties
Marcos Moreno-VerdĂș, Baptiste M. Waltzing, Elise E. Van Caenegem, Carla Czilczer, Laurine F. Boidequin, CharlĂšne Truong, Stephan Frederic Dahm, Robert M. Hardwick
Full text
Validating dynamic time warping as a measure of gesture form similarity
Sho Akamine, Mark Dingemanse, Aslı ÖzyĂŒrek
Full text
Dynamic time warping (DTW) is a well-known algorithm used to assess the similarity between signals of varying lengths. Initially developed for automatic speech recognition, DTW has found applications in psycholinguistics, particularly in analyzing gesture form similarity. An open question in this domain is how effectively DTW captures gesture form similarity. Here, we validate DTW against human annotations of gesture form similarity across two multimodal interaction corpora and explore its utility as an automatic, continuous measure of gesture form similarity. Our findings reveal weak to moderate correlations between DTW distance and the number of similar gesture features – such as handshape, movement, orientation, and position – suggesting that DTW serves as a useful proxy for gesture form similarity. Additionally, we highlight the importance of qualitative analysis of raw data and DTW predictions in enhancing DTW’s predictive accuracy. Our study offers a rigorous validation of DTW as a measure of gesture form similarity and presents a detailed framework for preprocessing motion tracking data and calculating DTW distance. While none of the methods is perfect, the combination of automatic and manual measures provides a comprehensive approach to understanding and measuring gesture form similarity.
Computational modeling uncovers a dynamic interaction between feature uncertainty and perception–action mapping scaling in visual perception
Qian Sun, Qi Sun
Full text

Computers in Human Behavior

Prescribing a “dose of reality”: Exploring how realistic portrayals of motherhood can mitigate the harms of social media comparison
Ciera E. Kirkpatrick
Full text
No future vision, no present perseverance: How short-form video addiction erodes academic buoyancy in adolescents
Guanxing Xiong, Junting Liu, Can Huang, Yingchao Zhang, Wenqing Li, Xiaoyu Li
Full text
AI-Powered Smartphone Tools and Immigrant Social Integration. The Role of Personality and Psychological Factors
Evangelos Mourelatos, Magdalini Liontou
Full text
The tug-of-war between engagement and dysregulation: A comprehensive analysis of cognition and internet gaming disorder in adolescents
David Willinger, Sabine Wunderl, Stefan Stieger
Full text
Paradoxical positivity and community engagement in online suicide discourse
Flynn Kelly-Brunyak, L. Christian Elledge
Full text

Group Processes & Intergroup Relations

Social dominance orientation and perceptions of gender discrimination: A discrepancy account of fairness judgments
Sarah Buhl, Paul-Michael Heineck, Frank Asbrock
Full text
Across four studies ( N = 1,300), we examined how social dominance orientation (SDO) relates to perceptions of gender discrimination in organizations. We propose a discrepancy account: discrimination judgments reflect perceived gaps between prescriptive and descriptive fairness norms, and higher SDO is associated with perceiving smaller gaps and thus lower discrimination perceptions. In Studies 1a and 1b, higher SDO was linked to lower perceived discrimination. Study 2 replicated this pattern and showed that, in hierarchical organizations, higher SDO corresponded to higher perceived descriptive fairness, which in turn related to lower discrimination perceptions. In Study 3, discrepancies across procedural and distributive norms fully mediated the SDO–discrimination association, with effects driven mainly by distributive norm discrepancies. The total indirect effect was larger in hierarchical than egalitarian contexts and remained when controlling for status-legitimizing beliefs. Together, these studies offer evidence for a novel mechanism underlying discrimination perceptions and implications for diversity initiatives.

Journal of Experimental Social Psychology

Playing it safe: Negotiators avoid uncertainty and reach safer, but less integrative agreements
Marco Schauer, Johann M. Majer, Caroline Heydenbluth, Roman Trötschel
Full text
Decision strategy and perceived humanness: The roles of decision context and decision outcome
Hong Zhang, Huan Zhu, Jingyan Wang, Yima Jin
Full text
The effects of anonymity in volunteer's dilemmas
Yukari Jessica Tham, Yohsuke Ohtsubo, Kaori Karasawa
Full text
Emotional cues to group hierarchy: Inferences about dominance- versus prestige-based hierarchies from members' emotional expressions
Marc W. Heerdink, Svenja A. Wolf, Jens Lange, Florian Wanders, Xia Fang, Eftychia Stamkou, Gerben A. van Kleef
Full text

Journal of Personality and Social Psychology

The environment impressions model.
Travis Lim, Eric Hehman
Full text
Conversations about boring topics are more interesting than we think.
Elizabeth N. Trinh, Nicole Thio, Nadav Klein
Full text
What stands out to you about me? Implications of self-observation during online intergroup interaction for metaperceived race salience.
Jacquie D. Vorauer, Corey Petsnik, Jasmine Chen
Full text
Patterns and sources of life satisfaction stability and change at different developmental stages.
Marco Deppe, Charlotte K. L. Dißelkamp, Andreas J. Forstner, Christian Kandler
Full text

Personality and Social Psychology Bulletin

Beliefs About Using Construal Level to Modulate Regulatory Scope
Phuong Q. Le, Tina Nguyen, Abigail A. Scholer, Kentaro Fujita
Full text
Goals require considering the immediate present as well as distant times, places, people, and possibilities. Although proximal goals require sensitivity to local opportunities, distal goals require action plans robust to variability. Construal level theory proposes that people contract versus expand regulatory scope (i.e., the range of possibilities one accounts for) to address these challenges. A primary tool they use to do so is construal level: low-level construal (representation that highlights unique, idiosyncratic features of events) contracts scope; high-level construal (representation that captures essential, core features) expands scope. Fourteen experiments (4 in the main text, 10 in the Online Supplement) support these assertions by documenting meta-motivational beliefs. Lay people recognize the benefits of construal level for modulating scope across a gradient of temporal distance, and across multiple distance dimensions. They also appreciate diverse methods with which to induce differences in construal level, including social preferences. We discuss theoretical and methodological implications.
Is Mobility Linked to Higher or Lower Loneliness? The Importance of Freedom and Instability
Yuri Miyamoto, Tomotaka Okuyama, Atsuki Ito, Brian A. O’Shea, Michiko Ueda
Full text
How is interpersonal and intergroup mobility related to loneliness? Disentangling different facets of mobility may be crucial to understanding the link. We propose that the disruption of life and long-term relationships inherent in a mobile society (i.e., instability facet) is linked to higher loneliness, whereas the opportunities and freedom existing in a mobile society (i.e., freedom facet) are associated with lower loneliness. We developed a community stability scale to capture the former and examined the associations between different measures of mobility and loneliness. Across two studies, one in Japan ( n = 881) and the other in two cultures (Japan and United States; n = 4,163) that vary in levels of mobility, both community stability (high stability) and relational mobility (high freedom) were associated with lower loneliness, which was partially mediated by social isolation. These findings suggest that whether mobility is linked to higher or lower loneliness depends on its specific facets.
The Role of Egalitarian Ideology in System-Challenging Collective Action Among Members of Dominant and Marginalized Racial Groups
Nadia Vossoughi, Wilson N. Merrell, Nour S. Kteily, Arnold K. Ho
Full text
Past research on collective action focuses on how identification with a marginalized group or with a politicized identity motivates collective action. We propose that egalitarian ideology —a preference for group-based equality and opposition to hierarchy—can help explain why both marginalized and dominant group members can be motivated to engage in system-challenging collective action. In Studies 1A–1C, among Black, Asian, and White Americans, egalitarianism was related to supporting collective action to advocate for racial equality. In Study 2, the egalitarianism–collective action relationship persisted among White participants when it was salient that their group would lose advantages from reducing racial inequality, and even among those relatively higher in White identification. Thus, egalitarianism helps explain why individuals engage in system-challenging collective action, regardless of whether their racial group benefits, and even when their racial group stands to lose.
Passion as a Moral Cue: How Obsessive and Harmonious Passion Shape Moral Expectations and Role Assignment
Monica Gamez-Djokic, Maryam Kouchaki
Full text
Passion is often celebrated as a driver of success, yet it also serves as a social cue that shapes moral expectations. Across five studies ( N = 1,849), we examine how perceptions of obsessive versus harmonious passion influence workplace inferences and decisions. Obsessively passionate individuals are perceived as more likely to engage in goal-instrumental unethical behavior than harmoniously passionate or less passionate counterparts. These expectations guide selection: obsessively passionate individuals are disproportionately chosen for roles involving morally questionable conduct. This preference emerges even when obsessive passion is viewed as no more ethically risky than low self-control, suggesting that anticipated immorality is not penalized uniformly. Rather, obsessive passion pairs moral suspicion with valued qualities (e.g., dedication, drive), making ethical flexibility seem instrumentally useful. Passion type thus functions as a moral cue shaping how people are evaluated and deployed at work, raising concerns that organizations may inadvertently reinforce boundary crossing by rewarding “passion.”
Values and the Dark Side: Meta-Analysis of Links Between Dark Triad Traits and Personal Values
Nikolay B. Petrov, Velvetina Lim, Adrien Fillon, Gilad Feldman
Full text
In the past two decades, research on the motivational underpinnings of the Dark Triad has burgeoned. However, it is unclear how each Dark Triad trait may map onto the values circumplex, and whether the research conducted thus far indicates consistent effects. In this multi-level meta-analysis, we examined the relationship between Dark Triad personality traits and personal values. Across 34 studies conducted between 2000 and 2020, Dark Triad traits were positively associated with self-enhancement and openness-to-change value dimensions, and negatively associated with self-transcendence and conservation value dimensions. Shape consistency for the Dark Triad associations was stronger for the self-enhancement versus self-transcendence values tension than for the openness-to-change versus conservation values tension. We concluded that Dark Triad traits showed meaningful patterns of associations with personal values with some differences between the traits. Materials, data, and code are available on: https://doi.org/10.17605/OSF.IO/4Z27F
One Size Might Not Fit All: A Tailored Approach to Psychological Intergroup Interventions
Shira Hebel-Sela, Nimrod Nir, Adva Gruenwald, Boaz Hameiri, Eran Halperin
Full text
Despite growing efforts to improve intergroup relations, the effectiveness of psychological intergroup interventions is often limited. We argue this modest impact stems from a one-size-fits-all approach that overlooks targeted outcomes and individual psychological profiles. Through a large-scale intervention tournament ( N = 3,685) examining Jewish-Israeli attitudes toward Palestinian citizens of Israel, we discovered that interventions show distinct strengths depending on targeted outcomes: social norms interventions excel at fostering support for social change, while meta-perceptions correction interventions effectively reduce prejudice. Using machine learning, we identified systematic variations in intervention effectiveness based on individual differences, with some interventions showing potential backfire effects among specific subgroups while delivering substantial benefits for others. These results underscore the potential of tailoring interventions to align with both the desired outcomes and the unique characteristics of target populations, paving the way for a new era of precision in intergroup interventions.

Psychological Bulletin

On the mechanisms of intervention effect fade-out: A meta-analytic review of interventions targeting at-risk students’ achievement.
Jens Dietrichson, Roopali Bhatnagar, Trine Filges, Mikkel Helding Vembye
Full text
Interstimulus interval effects on habituation: A systematic review with theoretical implications.
SebastiĂĄn A. Becerra, Jorge A. Pinto, Orlando E. Jorquera, Pablo D. Matamala, Claudio C. RamĂ­rez, Edgar H. Vogel
Full text

Psychological Methods

A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopes.
Mark H. C. Lai, Siwei Liu
Full text
Binomial effect size displays and gain-probability: Alternative ways to interpret hierarchical regression findings, with tutorial.
David Trafimow
Full text
How to apply Bayesian stochastic search variable selection with multiply imputed data.
Sierra A. Bainter, Zhixin Mao, J. Sunil Rao
Full text

Psychological Science

Individual Differences in Great Ape Cognition Across Time and Domains: Stability, Structure, and Predictability
Manuel Bohn, Christoph J. Völter, Daniel Hanus, Nico Eisbrenner, Johanna Eckert, Jana Holtmann, Daniel Haun
Full text
Understanding variation in cognitive abilities is critical to understanding both the evolution and development of cognition. In this study, we examined the stability, structure, and predictability of individual differences in cognitive abilities in great apes across a broad range of domains, including social cognition, reasoning about quantities, executive function, and inferential reasoning. We administered six tasks to 48 individuals from four species, spanning 10 sessions over 1.5 years. Task performance was most strongly predicted by stable, individual-specific characteristics rather than transient or group-level variables. Using additional data from the same individuals in other tasks, we found substantial positive correlations between nonsocial tasks. In contrast, tasks measuring social cognition were not correlated either with each other or with nonsocial measures. Future studies should work toward mechanistic models of great apes’ cognitive processes to build an understanding of the evolution of cognition based on process-level commonalities across species.
Registered Report: Can Agentic Black Women Get Ahead? An Experiment Revisited
Coco Xinyue Liu, B. Ariel Blair, Elizabeth R. Tenney
Full text
In 2012, Livingston et al. found that Black women were buffered against gender backlash; whether Black women were dominant or supportive toward an employee did not affect people’s perceptions of them as leaders in an organization. Conversely, White women incurred a status penalty for being dominant. Twelve years later, no direct replication has been published, and related research reached different conclusions: that Black women experience the most gender backlash for being dominant (as politicians) or that race does not affect gender backlash (for expressing anger). Given the seemingly contradictory results and limitations of previous research, the relationship between race and gender backlash warrants reexamination. In this registered report, we conducted a high-powered direct replication and extension of Livingston et al. with adult participants online ( N = 1,996). We found that both Black and White women (as well as men) suffered a status penalty for displaying dominance, suggesting a failure to replicate Livingston et al.’s findings. We discuss implications for theories of intersectional gender backlash.

Psychology of Music

Music listening according to the iso principle in patients with mood disorders
Katrin Starcke, Stefan Gebhardt, Richard von Georgi
Full text
It has been proposed that patients who suffer from mood disorders benefit from music listening according to the iso principle. The iso principle in a therapeutic context means that patients initially listen to music which matches their current state, and afterward listen to music which expresses a desired state. However, experimental evidence in this patient group is lacking. Thirty-eight patients with mood disorders were included. They were randomly assigned to one of two experimental groups: the iso-group listened to music according to the iso principle with a sad song first and a happy song afterward; the compensatory-group listened to music according to the compensatory principle with two happy songs in sequence. In the iso-group, positive affect decreased after the sad song, and increased after the happy song. In the compensatory-group, positive affect immediately increased after the first happy song, and did not further increase after the second happy song. Negative affect decreased in both groups. We conclude that music listening to the iso principle as well as the compensatory principle are suited for affect regulation in patients with mood disorders. For therapeutic purposes, the iso principle may be used to work with the affect-enhancing effect after low positive affect.
Secure adult attachment to fathers’ and students’ perceptions of shared reasons for musical engagement
Sheree Dickinson, Adrian C North
Full text
Music can be used as a tool for exploring, learning, and coping with our environment. Moreover, research suggests that parent–child shared participation in music may promote enduring secure attachments. Consequently, we tested whether there is a relationship between secure adult attachment to fathers and perceptions of shared reasons for musical engagement (identity, coping, learning, relationships, time, and relaxation). University students completed a measure of adult attachment to fathers and a measure of reasons for musical engagement for both self and father. Multiple regression indicated that sharing reasons for engagement in music between participant and father was associated with a more secure attachment between those two people. There were no differences in this finding when comparing responses by participant gender identification. As engaging in music is related to attachment to fathers, clinical interventions to promote secure adult attachment to fathers could be grounded in father–child shared musical engagement experiences.

Technology, Mind, and Behavior

Generative artificial intelligence reliance and executive function attenuation: Behavioral evidence of cognitive offload in high-use adults.
Sarah Baldeo
Full text