Psychopathy is deemed an important construct in forensic settings. Consequently, its theoretical basis and measurement are relevant to researchers but also to criminal justice administrators and decision-makers. The Elemental Psychopathy Assessment (EPA) is a recently developed self-report scale designed to measure psychopathic traits based on the five-factor model, one of the most comprehensive frameworks of general personality. Recent research provided initial support for the reliability and construct validity of the EPA, and exploratory factor analyses yielded a four-factor structure across different samples from the United States. Independent and confirmatory assessments of the construct validity and factor structure of the EPA are, however, pending. Across three independent, non-American samples (accumulated = 1,803), we examined its content and factorial validity. We corroborated the proposed four-factor structure by means of both exploratory and confirmatory factor analyses (CFA). Item-based CFA further indicated that the EPA items adequately measure the scales that they were initially assigned to. Taken together, the EPA is a psychometrically sound assessment tool for psychopathy. Given its substantial overlap with basic units of personality, the EPA represents a valid instrument to investigate psychopathy from a dimensional, trait-based perspective. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1037/pas0001126 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy.
Sci Rep
December 2024
Department of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310000, People's Republic of China.
Diabetes nephropathy (DN) is a prevalent and severe microvascular diabetic complication. Despite the recent developments in germacrone-based therapies for DN, the underlying mechanisms of germacrone in DN remain poorly understood. This study used comprehensive bioinformatics analysis to identify critical microRNAs (miRNAs) and the potential underlying pathways related to germacrone activities.
View Article and Find Full Text PDFA lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis.
Sci Rep
December 2024
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China.
Addressing the issues of a single-feature input channel structure, scarcity of training fault data, and insufficient feature learning capabilities in noisy environments for intelligent diagnostic models of mechanical equipment, we propose a method based on a one-dimensional and two-dimensional dual-channel feature information fusion convolutional neural network (1D_2DIFCNN). By constructing a one-dimensional and two-dimensiona dual-channel feature information fusion convolutional network and introducing a Convolutional Block Attention Mechanism, we utilize Random Overlapping Sampling Technique to process raw vibration signals. The model takes as inputs both one-dimensional data and two-dimensional Continuous Wavelet Transform images.
View Article and Find Full Text PDFExploring optimal control strategies in a nonlinear fractional bi-susceptible model for Covid-19 dynamics using Atangana-Baleanu derivative.
Sci Rep
December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
View Article and Find Full Text PDFValidation of the Child and Youth Resilience Measure (CYRM-R) in rural contexts in South Africa.
J Child Adolesc Ment Health
December 2024
Department of Educational Psychology, University of Pretoria, Pretoria, South Africa.
Resilience is central to young children's healthy and happy development. The Child and Youth Resilience Measure (CYRM-R) has been widely used in several countries. However, its construct validity among young children in rural South Africa has not been examined.
View Article and Find Full Text PDFMolecular Mechanisms Underlying the Loop-Closing Dynamics of β-1,4 Galactosyltransferase 1.
J Chem Inf Model
December 2024
Xuzhou College of Industrial Technology, Xuzhou 221140, Jiangsu Province, China.
The β-1,4 galactosylation catalyzed by β-1,4 galactosyltransferases (β4Gal-Ts) is not only closely associated with diverse physiological and pathological processes in humans but also widely applied in the -glycan modification of protein glycoengineering. The loop-closing process of β4Gal-Ts is an essential intermediate step intervening in the binding events of donor substrate (UDP-Gal/Mn) and acceptor substrate during its catalytic cycle, with a significant impact on the galactosylation activities. However, the molecular mechanisms in regulating loop-closing dynamics are not entirely clear.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!