Investigation of a bifactor model of the Strengths and Difficulties Questionnaire [PDF]
European Child & Adolescent Psychiatry, 2015 The Strengths and Difficulties Questionnaire (SDQ) is used to measure psychopathological symptoms in children and adolescents from 4 to 17 years old, but its underlying structure is still a matter of debate. Indeed, on the basis of a systematic review of English and non-English articles conducted using multiple databases, 54 studies reporting on the ...
Caci, Herve +2 more
openaire +5 more sources
Measuring State and Trait Anxiety: An Application of Multidimensional Item Response Theory
Behavioral Sciences, 2023 The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a widely used measure of state and trait anxiety. Within the Classical Testing Theory model, consistent findings provide support for its multidimensional factor structure ...
Leonardo Carlucci +4 more
doaj +1 more source
The Latent Structure of Depression and Anxiety Symptoms: A Bifactor Exploratory Structural Equation Model of the PHQ-9 and GAD-7 in Primary Care. [PDF]
Int J Methods Psychiatr ResABSTRACT Introduction The high comorbidity between depression and anxiety challenges traditional nosological models. In order to better reflect this overlap, dimensional approaches seek to clarify whether these symptoms reflect a single underlying construct of general distress or a more complex multidimensionality. The aim was to examine the underlying
Esteller-Collado G +9 more
europepmc +2 more sources
Bifactor models of RSES: A systematic review
, 2023 The present study will examine, using a series of indicators derived from the parameters estimated in the bifactor models, different properties of the general factor, and the specific factors of the bifactor model of the Rosenberg Self-Esteem Scale (RSES)
Fernando P. Ponce, Victor Benito Arias
core +1 more source
Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples. [PDF]
Psychiatry Res, 2017 Hankin BL +5 more
europepmc +2 more sources
The Rediscovery of Bifactor Measurement Models [PDF]
Multivariate Behavioral Research, 2012 Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling construct-relevant multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957), and highlight its ...
openaire +2 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 +8 more
core +3 more sources
Structural validation of the Self-Compassion Scale with a German general population sample. [PDF]
PLoS ONE, 2018 Published validation studies have reported different factor structures for the Self-Compassion Scale (SCS). The objective of this study was to assess the factor structure of the SCS in a large general population sample representative of the German ...
Adina Coroiu +8 more
doaj +1 more source
A Bifactor Model of the Polish Version of the Hare Self-Report Psychopathy Scale [PDF]
, 2014 The 64-item Hare Self-Report Psychopathy Scale was translated into Polish with the aim to test construct validity and dimensionality, incremental validity, and composite reliability of the measure in a sample of working adults (N = 319).
Hyland, P +7 more
core +1 more source
European Journal of Personality, EarlyView., 2020 Abstract Personality can be described at different levels of abstraction. Whereas the Big Five domains are the dominant level of analysis, several researchers have called for more fine‐grained approaches, such as facet‐level analysis. Personality facets allow more comprehensive descriptions, more accurate predictions of outcomes, and a better ...
Daniel Danner +4 more
wiley +1 more source