Results 241 to 250 of about 232,023 (346)

Results of discriminant validity (N = 511).

open access: green
Zheng Zhang (88857)   +3 more
openalex   +1 more source

Establishing General and Context‐Specific Eating Disorder Examination Questionnaire (EDE‐Q) Cut‐Off Scores for Anorexia Nervosa

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Our aim was to evaluate the diagnostic accuracy of the Eating Disorder Examination Questionnaire (EDE‐Q) scores and establish general and context‐specific cut‐off points for anorexia nervosa (AN) in Australian women. Methods The sample included 67 women with AN, 41 women with a history of AN and restored weight, 100 women with self ...
Rafael Moreton Alves da Rocha   +3 more
wiley   +1 more source

Validation of a psychometric tool for measuring hedonic reactivity: discriminant validity in substance use disorder, anhedonia, and depression

open access: gold
G.A. Platania   +8 more
openalex   +1 more source

Factor Structure, Convergent Validity, and Discriminant Validity of the NIH Toolbox Cognitive Health Battery (NIHTB-CHB) in Adults

open access: green, 2014
Dan Mungas   +7 more
openalex   +2 more sources

Psychometric Properties of the Commitment to Exercise Scale in Inpatients With Anorexia Nervosa and Bulimia Nervosa

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Compulsive exercise is a common behaviour among persons with eating disorders, particularly in those with anorexia nervosa (AN) and bulimia nervosa (BN). In the current study, we examined psychometric properties of a German version of the eight‐item Commitment to Exercise Scale (CES) with a four‐point scale response format.
Fiona M. Fabry   +5 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

open access: yesFlavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin   +3 more
wiley   +1 more source

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