Results 61 to 70 of about 12,690 (213)

Mentalizing difficulties are transdiagnostic and explain links between mental health and neurodevelopmental symptoms and social adjustment in school‐aged children

open access: yesJCPP Advances, EarlyView.
Growing evidence suggests that difficulties reasoning about others' thoughts, feelings and desires (called ‘mentalizing’ or ‘theory of mind’) cut across many mental health and neurodevelopmental conditions but studies have yet to test this claim directly.
Rory T. Devine   +2 more
wiley   +1 more source

The Utility of the Bifactor Method for Unidimensionality Assessment When Other Methods Disagree

open access: yesSAGE Open, 2016
This article provides an empirical illustration of the utility of the bifactor method for unidimensionality assessment when other methods disagree. Specifically, we used two popular methods for unidimensionality assessment: (a) evaluating the model fit ...
Yong Luo, Khaleel Al-Harbi
doaj   +1 more source

Factorial validity of the Twi versions of five measures of mental health and well-being in Ghana.

open access: yesPLoS ONE, 2020
BACKGROUND:Mental health is considered an integral part of human health. Reliable and valid measurement instruments are needed to assess various facets of mental health in the native language of the people involved.
Richard Appiah   +4 more
doaj   +1 more source

Internal and External Validity of Sluggish Cognitive Tempo in Young Adolescents with ADHD [PDF]

open access: yes, 2016
Adolescents with Sluggish Cognitive Tempo (SCT) show symptoms of slowness, mental confusion, excessive daydreaming, low motivation, and drowsiness/sleepiness.
Smith, Zoe
core   +1 more source

Further considerations regarding Panas: Contributions from four studies with different argentinean samples [PDF]

open access: yes, 2018
In this research we analyzed the psychometric properties of the Positive and Negative Affect Schedule (PANAS) in samples coming from four independent studies: university students (Study 1, n = 392; Study 2, n = 395), general adult population (Study 3, n =
Belaus, Anabel   +5 more
core   +3 more sources

Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores

open access: yesJCPP Advances, EarlyView.
Abstract Background Children who show difficult temperament are at risk of peer victimisation, which in turn associates with numerous negative outcomes later in life. We used network analysis to examine whether specific aspects of difficult temperament contributed to these associations, and whether the links were moderated by variations in genetic ...
Tom C.‐H. Wu   +5 more
wiley   +1 more source

A bifactor structural model of the Hungarian Pain Catastrophizing Scale and latent classes of a clinical sample

open access: yesHeliyon, 2021
Pain catastrophizing is an exaggerated cognitive-affective response to actual or anticipated pain, usually measured by the Pain Catastrophizing Scale (PCS).
Attila Galambos   +5 more
doaj   +1 more source

Disparity between General Symptom Relief and Remission Criteria in the Positive and Negative Syndrome Scale (PANSS): A Post-treatment Bifactor Item Response Theory Model. [PDF]

open access: yes, 2017
Objective: Total scale scores derived by summing ratings from the 30-item PANSS are commonly used in clinical trial research to measure overall symptom severity, and percentage reductions in the total scores are sometimes used to document the efficacy of
Anderson, Ariana E   +5 more
core  

Psychometric evidence of the Ambivalent Sexism Inventory in undergraduate nursing students at a public institution [PDF]

open access: yesRevista Latino-Americana de Enfermagem
Objective: to verify the internal and structural consistency of the Ambivalent Sexism Inventory in young undergraduate nursing students. Method: this is a cross-sectional methodological study carried out with young university students enrolled in the ...
Susane Vasconcelos   +5 more
doaj   +1 more source

A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework [PDF]

open access: yes, 2017
The Expectation-Maximization (EM) algorithm is a method for finding the maximum likelihood estimate of a model in the presence of missing data. Unfortunately, EM does not produce a parameter covariance matrix for standard errors.
Pritikin, Joshua N.
core   +2 more sources

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