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Riskier Tests of the Validity of the Bifactor Model of Psychopathology
Clinical Psychological Science, 2019 We advanced several “riskier tests” of the validity of bifactor models of psychopathology, which included that the p-factor and specific psychopathology factors should be reliable and well-represented by their respective indicators, and that modeling the
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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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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 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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IRT linking methods for the bifactor model
2018<p>For unidimensional item response theory (UIRT) models, three linking methods, which are the separate, concurrent, and fixed parameter calibration methods, have been developed and widely used in applications such as vertical scaling, differential item functioning, computerized adaptive testing (CAT), and equating. By contrast, even though a few
Kyung Yong Kim +5 more
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Recovering bifactor models: A comparison of seven methods.
Psychological Methods, 2020The last decade has witnessed a resurgence of interest in exploratory bifactor analysis models and the concomitant development of new methods to estimate these models. Understandably, due to the rapid pace of developments in this area, existing Monte Carlo comparisons of bifactor analysis have not included the newest methods.
Casey Giordano, Niels G. Waller
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A Mixture Group Bifactor Model for Binary Responses
Structural Equation Modeling: A Multidisciplinary Journal, 2014The presence of nuisance dimensionality is a potential threat to the accuracy of results for tests calibrated using a measurement model such as a factor analytic model or an item response theory model. This article describes a mixture group bifactor model to account for the nuisance dimensionality due to a testlet structure as well as the ...
Sun-Joo Cho +2 more
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