I checked 15 psychology journals on Tuesday, March 10, 2026 using the Crossref API. For the period March 03 to March 09, I found 21 new paper(s) in 8 journal(s).

Behavior Research Methods

SynesthesiaColorPicker: An open-source color picker for online synesthesia research
Nicholas Root
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Synesthesia is a neurological phenomenon in which healthy individuals experience additional, automatic, and consistent perceptions unrelated to veridical sensory input. For most (but not all) synesthetes, this additional experience is a color : for example, grapheme–color synesthetes experience colors for letters of the alphabet. Measuring these color associations is of central importance to synesthesia research, but there is no standard color picker “tool” that researchers can adapt to use in their own experiments: each researcher must code their own. This is a barrier to entry for synesthesia research, and additionally creates potential methodological confounds because different researchers make color pickers with different properties. SynesthesiaColorPicker is an open-source, mobile-friendly color picker tool that can be integrated with two popular online experiment platforms (Qualtrics and lab.js/Open Lab) without any prior programming knowledge. The templates, underlying JavaScript code, and detailed instructions are available for download on a GitHub repository. Furthermore, a comparison between data collected with SynesthesiaColorPicker and with the Synesthesia Battery shows that two methodological design choices in SynesthesiaColorPicker overcome measurable confounds in existing color picker methodology.
Physiology of everyday sleep and physical activity: An exploratory mixed-methods study of multi-sensor wearables for infants and toddlers
Emily Hunter, Niina Kolehmainen, Kianoush Nazarpour, Tim Rapley, Abigail Collins, Christopher Eggett, Craig Williams, Christopher Thornton
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Sleep and physical activity are vital to the health, development, and well-being of young children. To effectively promote these behaviours at the population level, better tools for objectively quantifying them are needed. This hypothesis-generating mixed-methods study explored the potential usability of two wearable sensors to measure physical activity and sleep in young children over multiple days, drawing on physiological measurements. A longitudinal within-case design was employed, in which families with children aged 4–36 months from the North East of England were recruited through playgroups and social networks. Parents and children tested two wearable devices in a structured play setting and at home over a period of 1 week. Data on sleep, movement, and heart rate were collected using the Bittium Faros 180 heart rate monitor and the NAPPA sleep monitoring system. Usability was assessed through researcher observations and parent feedback using ethnographic methods. Wear time, heart rate variability during naps, and ultradian respiration cycles during sleep were analysed. Seven children participated and completed the study. While parents were initially enthusiastic, usability challenges arose. The heart rate monitor was considered uncomfortable, its large size hindered activity, and electrodes were detached by parents and accidently, leading to significant data loss. The NAPPA was easier to use, discreet, and comfortable, but disrupted sleep routines. Additional challenges related to non-parental caregiving resulted in non-wear and/or data loss. These results indicate that wearable devices for young children hold potential but face significant design challenges for longitudinal home use at scale. Co-creation of child-friendly, practical hardware and software is essential for effective, large-scale health monitoring in young children.
An iterative strategy for referent variable selection in MIMIC-interaction modeling
Cheng-Hsien Li, Anne Traynor
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Unwrapping the mirror tracing task
Pablo F. Garrido, Anne Cecilie Sjøli Bråthen, Emilie Sogn Falch, Jonas Kransberg, Anders M. Fjell, Øystein Sørensen, Kristine B. Walhovd
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The Mirror Tracing Task (MTT) is a method used to study visuomotor skills learning. It is traditionally evaluated by counting the number of times a person draws outside of the borders of a figure, typically a star, while looking at its mirror reflection. While insightful for overall performance, this metric lacks a precise analysis of the tracing, such as details on errors in specific regions. We propose a new MTT analysis method that studies the drawing as a function of the angle around the figure’s center. Two new variables are introduced: residuals, which measure deviation from the ideal drawing, and density, which measures how often a specific path is retraced. These variables are defined per angle or region, allowing a more detailed analysis, highlighting the most challenging parts of the drawing for each person, and enabling comparison across trials or finding common patterns between individuals. We applied this approach to the first MTT trial of 210 participants using age as a variable of interest. Residuals and density were summarized as a single value and compared with the traditional approach, providing similar results. When analyzed as a function of the angle, these variables enabled the identification of specific regions of the star where the errors are age-sensitive. Additionally, a time series-like approach enabled us to cluster drawings and quantify their similarity. The code used for this new method has been made openly accessible to make it easier for its applications in new research or the reanalysis of previous projects.

Computers in Human Behavior

Not Seeing Eye to Eye: The Effects of Perceptual Conflicts During Social Interactions in Mixed Reality
Eugy Han, Portia Wang, Monique Santoso, Keshav Rastogi, Jeremy N. Bailenson
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Can AI reflect public opinion? Evidence from replicating Hainmueller and Hopkins’ immigration experiment with LLMs
Yajing Chen, Ming Lei, Zhanyu Liu, Man Tang, Jie She
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Digital Pacifiers: Developmental Trajectories of Media Emotion Regulation in Early Childhood
Chenae Christensen-Duerden, Sarah M. Coyne, Peter J. Reschke, Sarah Ashby, Boston Park, Ashton K. Allen, Rachel J. Munk, Hailey Holmgren
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Journal of Experimental Social Psychology

Incentivization very weakly improves theory of mind: A multi-sample investigation and meta-analysis
Tomer Paz-Fitussy, Eldad Yechiam
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Beliefs versus reality: People overestimate the actual dishonesty of others
Jareef Martuza, Helge Thorbjørnsen, Hallgeir Sjåstad
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Journal of Personality and Social Psychology

Face the difference: Metacontrast as an affordance to spontaneous social categorization.
Verena Heidrich, Felicitas Flade, Roland Imhoff
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Tailoring personality interventions: How timing, context, and strategies influence proximal intervention outcomes.
Peter Haehner, Amanda J. Wright, Till Lubczyk, Rosalie Andrae, Eva Asselmann, Susanne Buecker, Christopher J. Hopwood, Wiebke Bleidorn
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Multivariate Behavioral Research

To Disaggregate or Not to Disaggregate: A Focus on Covariates in Multilevel Models
Remus Mitchell, Craig K. Enders, Yi Feng
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Treatment Effect Moderation with Small Subgroups: An Incremental Subgroup Analysis Approach
Xiao Liu, J. Mark Eddy, Charles R. Martinez
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Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding
Patrick Mair, Ingwer Borg, Thomas Rusch
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semfindr: An R Package for Identifying Influential Cases in Structural Equation Modeling
Shu Fai Cheung, Mark H. C. Lai
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Psychological Bulletin

Effort-based decision making in psychopathology: A transdiagnostic multilevel meta-analysis and systematic review of behavioral patterns and mechanisms underlying amotivational psychopathology.
Matthias Pillny, Katharina E. Renz, Alina Hay, Daniel Fulford, Tania M. Lincoln, Deanna M. Barch, James M. Gold, Stefan Kaiser
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Psychology of Popular Media

Mental health disorders on Netflix: Analyzing stereotypes across 13 countries using the stereotype content model and machine learning.
Katharina Angermayr, Sebastian Scherr
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Deepfake! A liar’s dividend for audiovisual material.
Lara Grohmann, Franziska A. Halle, Markus Appel
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Investigating the direct and indirect longitudinal relationships between social media use and life satisfaction via cosmopolitanism: A 6-year cohort study of adults.
Yu Takizawa
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Examining the use of face-to-face and technology-mediated communication methods in emerging adult romantic relationships: The role of commitment.
Celia T. Lee, Michael R. Langlais
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Technology, Mind, and Behavior

AI-based decision making: Not the decision-maker but the outcome’s favorability determines the perception of university topic allocations.
Christopher Esch, Farid Fares, Elisabeth Kals, Christina U. Pfeuffer
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