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The Index of Consensual Sexual Sadism (ICSS): Scale development, validation, measurement invariance, and nomological network comparisons with everyday sadism.
Psychol Assess
January 2025
Department of Psychology, University of Alabama.
Sexual sadism has long been of interest to scholars and clinicians in psychology, and most research on sexual sadism has focused on forensic samples. However, recently, research has uncovered the existence of sexual sadism in general populations. Measures designed to assess sexual sadism in the general population are lacking.
View Article and Find Full Text PDFEpisodic retrieval for model-based evaluation in sequential decision tasks.
Psychol Rev
January 2025
Department of Cognitive Science, University of California, San Diego.
It has long been hypothesized that episodic memory supports adaptive decision making by enabling mental simulation of future events. Yet, attempts to characterize this process are surprisingly rare. On one hand, memory research is often carried out in settings that are far removed from ecological contexts of decision making.
View Article and Find Full Text PDFAI for all: bridging data gaps in machine learning and health.
Transl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFQuantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such data is challenging due to the large proportion of missing values. A common strategy to address this issue is to utilize an imputed dataset, which often introduces systematic bias into down-stream analyses if the imputation errors are ignored.
View Article and Find Full Text PDFSeeing Ourselves in Others: Understanding and Addressing Biases in Medical School Admissions Processes.
Perspect Med Educ
January 2025
Hartford Hospital and the Institute of Living, Hartford, Connecticut, USA.
Purpose: Medical school admissions is a vital area for advancing diversity, equity, and inclusion (DEI). Integrating bias recognition and management (BRM) within the context of admissions is critical in advancing DEI. However, there is a dearth of empirically informed literature on BRM in the admissions context.
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