Results 151 to 160 of about 13,622,425 (184)
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Sample Size Requirements for Bifactor Models
Structural Equation Modeling, 2022Morten Moshagen +2 more
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A Bifactor Model of Personality Organization
Journal of Personality Assessment, 2020The aim of this study was to explore the viability of a bifactor model for the Inventory of Personality Organization (IPO), which is a self-report measure of personality functioning based on Kernberg's model of personality organization. A heterogeneous, predominantly clinical sample (N = 616) completed the German 83-item version of the IPO ...
Susanne Hörz-Sagstetter +13 more
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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.
Kristjan K. Stefansson +4 more
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Specific and general facets of hoarding: A bifactor model
Journal of Anxiety Disorders, 2015Whereas it has been suggested that hoarding is a multidimensional construct comprising distinct but interrelated factors (i.e., difficulty discarding, excessive clutter, and excessive acquisition), a high degree of overlap as well as a lack of discriminant validity among these factors and exogenous constructs suggests that a correlated factors approach
Amanda M, Raines +4 more
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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 Modeling and the Estimation of Model-Based Reliability in the WAIS-IV
Multivariate Behavioral Research, 2013Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance.
Gilles E, Gignac, Marley W, Watkins
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A Comparison of Bifactor and Second-Order Models of Quality of Life
Multivariate Behavioral Research, 2006Bifactor and second-order factor models are two alternative approaches for representing general constructs comprised of several highly related domains. Bifactor and second-order models were compared using a quality of life data set (N = 403). The bifactor model identified three, rather than the hypothesized four, domain specific factors beyond the ...
Chen, Fangfang +2 more
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A Bifactor Model of Trait Trust, Distrust, and Suspicion
Journal of Individual Differences, 2022Abstract. We explored competing models using bifactor item response theory (IRT) analyses to determine the relationship between trait measures of trust, distrust, and suspicion. The model with a general factor for all three scales fits the data best. We explored the relationship of the emergent general factor by correlating it with two latent traits ...
Gene M. Alarcon +4 more
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Examination of a Bifactor Model of Obsessive-Compulsive Symptom Dimensions
Assessment, 2016Although obsessive-compulsive (OC) symptoms are observed along four dimensions (contamination, responsibility for harm, order/symmetry, and unacceptable thoughts), the structure of the dimensions remains unclear. The current study evaluated a bifactor model of OC symptoms among those with and without obsessive-compulsive disorder (OCD). The goals were (
Bunmi O, Olatunji +2 more
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A Bifactor Model of the Autism Spectrum Disorder Phenotype
Journal of the American Academy of Child & Adolescent Psychiatry, 2019I read with interest the newly published work by Kim et al. describing the covariance structure of parent-reported autism spectrum disorder (ASD) symptoms.1 The authors compared many different latent class, factor analytic, and factor mixture models in a large, clinically referred sample, concluding that the ASD phenotype is best described by three ...
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