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A Bifactor Approach to Model Multifaceted Constructs in Statistical Mediation Analysis
Educational and Psychological Measurement, 2016 Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets.
Oscar, Gonzalez, David P, MacKinnon
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Internal and External Validity of Sluggish Cognitive Tempo in Young Adolescents with ADHD [PDF]
, 2016 Adolescents with Sluggish Cognitive Tempo (SCT) show symptoms of slowness, mental confusion, excessive daydreaming, low motivation, and drowsiness/sleepiness.
Smith, Zoe
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Further considerations regarding Panas: Contributions from four studies with different argentinean samples [PDF]
, 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
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JCPP 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
Sleep Medicine: X, 2019 Objective: To examine the factor structure of the Sleep Disorder Scale for Children (SDSC) in children and adolescents with attention deficit and hyperactivity disorder (ADHD). Method: The caregivers of 307 children with ADHD completed the SDSC. Standard
Vincent O. Mancini +7 more
doaj +1 more source
General and specific components of depression and anxiety in an adolescent population. [PDF]
, 2011 BACKGROUND: Depressive and anxiety symptoms often co-occur resulting in a debate about common and distinct features of depression and anxiety. METHODS: An exploratory factor analysis (EFA) and a bifactor modelling approach were used to separate a general
Abbott, Rosemary A +3 more
core +5 more sources
JCPP 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
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]
, 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
A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework [PDF]
, 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
African Journal of Psychological Assessment, 2020 This study applied confirmatory factor analyses to explore the factor structure of the Fortitude Questionnaire (FORQ) in three samples: adolescents, students and lay counsellors. For the student and lay counsellor samples, the analysis demonstrated that a bifactor and a three-factor second-order model of the FORQ was a much better fit than a one-factor
Tyrone B. Pretorius +1 more
openaire +3 more sources