Results 21 to 30 of about 17,464 (244)
A bifactor model of the Posttraumatic Growth Inventory [PDF]
Purpose: The Posttraumatic Growth Inventory (PTGI) is a self-administered measurement instrument designed to provide information concerning positive psychological changes after a traumatic life event. The aim of the present study was to examine the psychometric properties of the PTGI in a Hungarian sample.
Balog, Piroska +2 more
core +5 more sources
Identifiability of Bifactor Models
The bifactor model and its extensions are multidimensional latent variable models, under which each item measures up to one subdimension on top of the primary dimension(s). Despite their wide applications to educational and psychological assessments, this type of multidimensional latent variable models may suffer from non-identifiability, which can ...
Fang, Guanhua +4 more
openaire +2 more sources
Assessing the Unidimensionality of Clayton’s Environmental Identity Scale Using Confirmatory Factor Analysis (CFA) and Bifactor Exploratory Structural Equation Modeling (bifactor-ESEM) [PDF]
A relevant intrapersonal characteristic for understanding intentions and behavior toward environmental sustainability is the degree to which nature is important for a person’s self-definition. Clayton’s Environmental Identity (EID) scale purports to measure this construct.
Paulo Moreira +3 more
openaire +3 more sources
The accuracy of factor retention methods for structures with one or more general factors, like the ones typically encountered in fields like intelligence, personality, and psychopathology, has often been overlooked in dimensionality research.
Marcos Jiménez +5 more
semanticscholar +1 more source
Considering a Bifactor Model of Children’s Subjective Well-Being Using a Multinational Sample
In the current study, we consider the viability of a bifactor model of children’s subjective well-being (SWB) by contributing to the discussion on the dimensionality of children’s SWB.
Shazly Savahl +2 more
semanticscholar +1 more source
Extending Applications of Generalizability Theory-Based Bifactor Model Designs
In recent years, researchers have described how to analyze generalizability theory (GT) based univariate, multivariate, and bifactor designs using structural equation models.
W. Vispoel +3 more
semanticscholar +1 more source
Regularized Exploratory Bifactor Analysis With Small Sample Sizes [PDF]
Several methods of factor extraction have recently gained popularity as a procedure for dealing with estimation problems associated with small sample sizes, which can be found in the various behavioral science disciplines, such as comparative psychology and behavior genetics.
Sunho Jung, Dong Gi Seo, Jungkyu Park
openaire +3 more sources
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
Academic burnout is a psychological problem characterized by three dimensions: emotional exhaustion, depersonalization, and personal accomplishment.
Raimundo Aguayo-Estremera +4 more
semanticscholar +1 more source
Abstract Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N
S. Weiss +6 more
wiley +1 more source

