Results 11 to 20 of about 6,647,629 (214)
Empirical Underidentification with the Bifactor Model: A Case Study [PDF]
Bifactor models are commonly used to assess whether psychological and educational constructs underlie a set of measures. We consider empirical underidentification problems that are encountered when fitting particular types of bifactor models to certain types of data sets.
Samuel, Green, Yanyun, Yang
openaire +3 more sources
Riskier Tests of the Validity of Bifactor Models of Psychopathology
We advanced several “riskier tests” of the validity of bifactor models of psychopathology, which included that the general and specific factors should be reliable and well-represented by their indicators, and that including a general factor should improve the correlated factor model’s external validity.
Ashley L. Watts +2 more
openaire +4 more sources
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]
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 ...
Gabriel Esteller‐Collado +9 more
doaj +2 more sources
Regularization in Bifactor-(S-1)-Models
Supplementary materials for the article "Regularization Methods in Bifactor-(S-1) Models with Explanatory ...
Tobias Koch +5 more
core +9 more sources
Competing Confirmatory Factor Analysis Models in Management Research: Bifactor Modeling of the Employee Work Assessment Tool [PDF]
Management researchers often use structural equation modeling to analyze data from questionnaire-based instruments. Usually, confirmatory factor analysis (CFA) is applied to confirm the hypothesized or theorized factor structure of the instrument.
Theophilus Ehidiamen OAMEN
doaj +3 more sources
Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the <i>p</i> Factor. [PDF]
Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a ...
Neufeld SAS +5 more
europepmc +7 more sources
The current study seeks to validate L2 grit measure among 637 Chinese senior middle school students using a bifactor modeling approach. To do so, we first assessed and compared four alternative measurement models including CFA, bifactor CFA, ESEM, and ...
Eerdemutu Liu, Junju Wang, Sachurina Bai
doaj +1 more source
Rasch testlet and bifactor models are two measurement models that could deal with local item dependency (LID) in assessing the dimensionality of reading comprehension testlets.
Masoud Geramipour
doaj +1 more source
The few studies that have analyzed the factorial structure of early number skills have mainly used confirmatory factor analysis (CFA) and have yielded inconsistent results, since early numeracy is considered to be unidimensional, multidimensional or even
Christophe Dierendonck +5 more
doaj +1 more source
The study revisited the community of inquiry (CoI) instrument for construct revalidation. To that end, the study used confirmatory factor analysis (CFA) to examine four competing models (unidimensional, correlated-factor, second-order factor, and ...
Hongwei Yang, Ph.D., Jian Su, Ph.D.
doaj +1 more source

