Results 71 to 80 of about 6,647,629 (214)

Discrete components of stress impact trajectories of childhood irritability but not adolescent mental health outcomes

JCPP Advances, EarlyView.
Thick red line indicates positive mixture effect of stressors predicting high irritability class. Maternal demoralization, material hardship, maternal perceived stress, and intimate partner violence contributed to the mixture effect (thick borders on boxes).
Mariah DeSerisy, Huiyu Yang, Jacob W. Cohen, David Pagliaccio, Julie B. Herbstman, Bradley S. Peterson, Frederica P. Perera, Virginia Rauh, Amy E. Margolis   +8 more
wiley   +1 more source

Multivariate genetic analyses test for the presence of a general ‘n’ factor underlying neurodevelopmental conditions

JCPP Advances, EarlyView.
Abstract Background Neurodevelopmental conditions often emerge early in life and have substantial genetic influences. There are significant genetic correlations between neurodevelopmental conditions, such as between autism spectrum disorder (Autism) and attention deficit‐hyperactivity disorder (ADHD), and they are listed together in diagnostic manuals.
Morgan James Morgan, Margherita Malanchini, Elise B. Robinson, Angelica Ronald   +3 more
wiley   +1 more source

Bifactor and Hierarchical Models: Specification, Inference, and Interpretation

Annual Review of Clinical Psychology, 2018
Bifactor and other hierarchical models have become central to representing and explaining observations in psychopathology, health, and other areas of clinical science, as well as in the behavioral sciences more broadly. This prominence comes after a relatively rapid period of rediscovery, however, and certain features remain poorly understood.
openaire   +4 more sources

On the Meaning of the General Factor of Psychopathology (“P-Factor”) in Symmetrical Bifactor Models

, 2021
Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across psychopathology dimensions and mental disorders.
G. Leonard Burns, Christian Geiser, Michael Eid, Johannes Bohn, Pavle Zagorscak, Manuel Heinrich, Stephen P. Becker, Christine Knaevelsrud, Theodore P. Beauchaine   +8 more
core   +1 more source

Are All “Good” Employees Susceptible to Moral Biases? Exceptional (Versus Intermediate) Moral Character Shapes Resilience to Daily “DIAMONDS” Situations That Trigger Moral Disengagement

Journal of Organizational Behavior, EarlyView.
ABSTRACT The non‐rationalist view of morality holds that all employees—including “good” apples—are liable to do bad because they are susceptible to moral biases in everyday situational encounters. In contrast, the rationalist or trait view suggests that employees with strong moral character should be resilient against moral biases across situations and
Babatunde Ogunfowora, Varun Sharma, Mohammad Khalilinejad, Kimberly Weston Moore   +3 more
wiley   +1 more source

AI Companions and Loneliness: Conceptualizing and Operationalizing Synthetic Mindfulness and Exploring Its Role in Alleviating Loneliness

Psychology &Marketing, EarlyView.
ABSTRACT The rise of AI companions has sparked interest in their potential to alleviate the growing social problem of loneliness, yet evidence of their effectiveness remains unsettled. Drawing on social surrogacy theory with a theories‐in‐use approach, this research introduces synthetic mindfulness, defined as consumers' judgment of an AI companion's ...
Varqa Shamsi Bahar, Artyom Golossenko, Sumin Kim, Matti Jaakkola   +3 more
wiley   +1 more source

Acceptance of AI-gamified adaptive learning in EFL: bifactor evidence for essential unidimensionality and the limits of subscale scoring

Frontiers in Education
Artificial intelligence (AI) and gamification are increasingly combined in language learning, and learners' acceptance of such tools is typically measured with multidimensional questionnaires whose dimensional structure is rarely tested. This study asked
Ainur Zhorabekova, Marzhan Duisenova, Moldir Kurmasheva, Assel Yesnazar   +3 more
doaj   +1 more source

Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria

, 2023
To examine relationships between the global construct of multidimensional data and external criteria, bifactor exploratory structural equation modeling (B-ESEM) and traditional methods (e.g., unidimensional confirmatory factor analyses, CFA; parceled CFA;
Honglei Gu (8802218), Kit-Tai Hau (12405882), Zhonglin Wen (5008037)   +2 more
core   +1 more source

Performance of Estimation Methods in Bifactor Models with Ordered Categorical Data

, 2023
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models.
Ömür Kaya Kalkan (17048814), Ismail Cuhadar (10811744)   +1 more
core   +2 more sources

Exploring the factor structure of the Health of the Nation Outcomes Scale (HoNOS) in a sample of patients with schizophrenia, schizotypal and delusional disorders

Health and Quality of Life Outcomes, 2017
Background The Health of the Nation Outcomes Scale (HoNOS) is recommended for use by the English National Service Framework for Mental Health and by the working group on outcome indicators for severe mental illnesses to the Department of Health.
Wayne Smith, Silia Vitoratou, Paul McCrone, Anita Patel   +3 more
doaj   +1 more source