Results 211 to 220 of about 17,464 (244)
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Structural Equation Modeling: A Multidisciplinary Journal, 2023
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings ...
Bo Zhang +4 more
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Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings ...
Bo Zhang +4 more
semanticscholar +1 more source
Structural Equation Modeling: A Multidisciplinary Journal, 2023
To examine relationships between the global construct of multidimensional data and external criteria, bifactor exploratory structural equation modeling (B-ESEM) and traditional methods (e.g., unidimensional confirmatory factor analyses, CFA; parceled CFA;
Honglei Gu, Zhonglin Wen, K. Hau
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To examine relationships between the global construct of multidimensional data and external criteria, bifactor exploratory structural equation modeling (B-ESEM) and traditional methods (e.g., unidimensional confirmatory factor analyses, CFA; parceled CFA;
Honglei Gu, Zhonglin Wen, K. Hau
semanticscholar +1 more source
Don’t Use a Bifactor Model Unless You Believe the True Structure Is Bifactor
Journal of Psychoeducational Assessment, 2020The current article provides a response to concerns raised by Dombrowski, McGill, Canivez, Watkins, & Beaujean (2020) regarding the methodological confounds identified by Decker, Bridges, Luedke, and Eason (2020) for using a bifactor (BF) model and Schmid–Leiman (SL) procedure in previous studies supporting a general factor of intelligence (i.e., “
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Bifactor structure of the Schizotypal Personality Questionnaire (SPQ)
Psychiatry Research, 2015The schizotypal personality questionnaire (SPQ) is used to characterize schizotypy, a complex construct helpful for the investigation of schizophrenia-related psychopathology and putative endophenotypes. The SPQ factor structure at item level has been rarely replicated and no study had tested a bifactor model of the SPQ so far.
PRETI, ANTONIO +8 more
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Psychological methods
Confirmatory bifactor models have become very popular in psychological applications, but they are increasingly criticized for statistical pitfalls such as tendency to overfit, tendency to produce anomalous results, instability of solutions, and ...
Sijia Li, V. Savalei
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Confirmatory bifactor models have become very popular in psychological applications, but they are increasingly criticized for statistical pitfalls such as tendency to overfit, tendency to produce anomalous results, instability of solutions, and ...
Sijia Li, V. Savalei
semanticscholar +1 more source
Bifactor Analysis to Disentangle the Depression-Dementia Association
JAMA Psychiatry, 2016Item does not contain ...
Zuidersma, M., Oude Voshaar, R.C.
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A Bifactor Model of School Engagement
International Journal of Behavioral Development, 2016School engagement involves cognitive, emotional, and behavioral components that overlap conceptually. This conceptual ambiguity has led to measures that have either consisted of one general factor or separate correlated factors. However, neither approach can sufficiently account for both the uniqueness and the overlap of the subcomponents.
Kristjan K. Stefansson +4 more
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Introduction to bifactor polytomous item response theory analysis
Journal of School Psychology, 2017A bifactor item response theory model can be used to aid in the interpretation of the dimensionality of a multifaceted questionnaire that assumes continuous latent variables underlying the propensity to respond to items. This model can be used to describe the locations of people on a general continuous latent variable as well as on continuous ...
Toland, M. D +4 more
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Psychological Assessment, 2022
Over the last decade, applications of bifactor modeling within clinical settings have increased markedly but typically rely on data collected on single occasions. A shortcoming of such research is that reliability coefficients are likely inflated because
W. Vispoel +3 more
semanticscholar +1 more source
Over the last decade, applications of bifactor modeling within clinical settings have increased markedly but typically rely on data collected on single occasions. A shortcoming of such research is that reliability coefficients are likely inflated because
W. Vispoel +3 more
semanticscholar +1 more source