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Effects of daily discrimination and microaggressions on alcohol use and related consequences among Latine college students at a predominantly White institution.

Katja Waldron, Rob Turrisi, Veronica Richards, Danny Rahal, Ellis Parks

Psychology of Addictive Behaviors·2025

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Representation in science and trust in scientists in the USA

James N. Druckman, Katherine Ognyanova, Alauna Safarpour, Jonathan Schulman, Kristin Lunz Trujillo, Ata Aydin Uslu, Jon Green, Matthew A. Baum, Alexi Quintana-Mathé, Hong Qu, Roy H. Perlis, David M. J. Lazer

Nature Human Behaviour·2025

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Oliver Sacks Put Himself Into His Case Studies. What Was the Cost? | The New Yorker

Rachel Aviv

The New Yorker·2025

Rachel Aviv on letters, journals, and tape recordings, provided by the Oliver Sacks Foundation, that illuminate the psychology and sexuality of the neurologist, whose books include “Awakenings” and “The Man Who Mistook His Wife for a Hat.”

★ 5.0 (1)

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Synaptic-resolution connectomics: towards large brains and connectomic screening

Moritz Helmstaedter

Nature Reviews Neuroscience·2025·2 citations

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The individual-level precision of implicit measures

Jamie Cummins, Ian Hussey

Behavior Research Methods·2025

Abstract Implicit measures are used extensively in psychological science. One fundamental goal of these measures is to provide information diagnostic of an individual’s attitudes or beliefs. After 25 years of research, this goal has not been achieved. We argue that this is because psychologists have not yet even quantified the individual-level precision of implicit measures, much less calibrated them to it. In this paper, we examine the individual-level precision of six different implicit measures across three different attitude domains (race, politics, and self-esteem) using a very large open dataset. Despite some variation, we find that there is substantial room for improvement for the precision of implicit measures as measures of individual attitudes. We recommend that researchers who wish to make theoretical inferences about individuals directly quantify individual-level precision to calibrate their tasks appropriately, both in the context of implicit measures and with tasks in psychological science more broadly.

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A Multi‐Level Analysis of Psychological, Cultural, and Strategic Drivers of Corporate Environmental Responsibility

Rana Salman Anwar, Rizwan Raheem Ahmed, Dalia Streimikiene, Justas Streimikis

Corporate Social Responsibility and Environmental Management·2025

ABSTRACT This research aims to unravel the complex psychological, organizational, and environmental factors that underpin employee environmentally friendly behavior and sustainable marketing performance in the U.S. fertilizer sector. It examines a fully moderated serial mediation model in which employee environmental consciousness and organizational green culture serve as primary antecedents, with employee green commitment and green innovation as mediators. Through various relational pathways, the model also incorporates three moderators: leadership support for sustainability, psychological green climate, and customer environmental demand. A sample of 1108 U.S. fertilizer workers was surveyed with validated measurement instruments. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS‐SEM) to evaluate causal paths, and supervised machine learning in JASP was used to assess predictive accuracy and robustness. All the relationships proposed were confirmed. SEM demonstrated strong explanatory power, whereas machine learning showed predictive accuracy, especially with neural networks and KNN. Outcomes emphasize the interaction of employee awareness, organizational culture, and external pressures in influencing green commitment, innovation, and sustainable marketing performance. This research makes an original contribution by combining SEM and machine learning to test the causal and predictive validity of a multilevel sustainability model in the less‐researched U.S. fertilizer sector. It develops a theory by illustrating how organizational enablers and employee‐level psychological mechanisms dynamically interact, providing new insights into how green behaviors are translated into sustainable marketing performance.

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From tetrachoric to kappa: How to assess reliability on binary scales

Sophie Vanbelle

British Journal of Mathematical and Statistical Psychology·2025

Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their discrete nature. This paper reviews and links three major approaches to estimate reliability for single ratings on binary scales: the normal approximation approach, kappa coefficients, and the latent variable approach, which enables estimation at both latent and manifest scale levels. We clarify their conceptual relationships, show conditions for asymptotical equivalence, and evaluate their performance across two common study designs, repeatability and reproducibility studies. Then, we extend the Bayesian Dirichlet‐multinomial method for estimating kappa coefficients to settings with more than two replicates, without requiring Bayesian software. Additionally, we introduce a Bayesian method to estimate manifest scale reliability from latent scale reliability that can be implemented in standard Bayesian software. A simulation study compares the statistical properties of the three major approaches across Bayesian and frequentist frameworks. Overall, the normal approximation approach performed poorly, and the frequentist approach was unreliable due to singularity issues. The findings offer further refined practical recommendations.

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Oldest Papers

Effects of daily discrimination and microaggressions on alcohol use and related consequences among Latine college students at a predominantly White institution.

Representation in science and trust in scientists in the USA

Oliver Sacks Put Himself Into His Case Studies. What Was the Cost? | The New Yorker

Synaptic-resolution connectomics: towards large brains and connectomic screening

The individual-level precision of implicit measures

A Multi‐Level Analysis of Psychological, Cultural, and Strategic Drivers of Corporate Environmental Responsibility

From tetrachoric to kappa: How to assess reliability on binary scales

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