2016
DOI: 10.1177/1073191116679260
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Bifactor Models of Attention-Deficit/Hyperactivity Disorder (ADHD): An Evaluation of Three Necessary but Underused Psychometric Indexes

Abstract: The ADHD general factor explained most of the common variance. Given the low reliable variance ratios, the specific factors were difficult to interpret. However, in clinical samples, inattention acquired sufficient specificity and stability for interpretation beyond the general factor. Implications for research and clinical practice are discussed.

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Cited by 50 publications
(74 citation statements)
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“…The most important line of evidence comes from findings, largely in youths, that support a bifactor model rather than a simpler 2-factor model. 11 Bifactor models are defined as having a global factor (G) that captures variance shared by all symptoms, as well as specific factors (S) that capture variance shared among a smaller subset of symptoms that is uncorrelated with both the global factor and the other specific factors. It has been argued that bifactor models more accurately represent the etiological heterogeneity of ADHD: a bottom-up pathway resulting in hyperactivity/impulsivity, with inattention being secondary to those symptoms, and a top-down pathway leading mostly to inattention.…”
Section: Introductionmentioning
confidence: 99%
“…The most important line of evidence comes from findings, largely in youths, that support a bifactor model rather than a simpler 2-factor model. 11 Bifactor models are defined as having a global factor (G) that captures variance shared by all symptoms, as well as specific factors (S) that capture variance shared among a smaller subset of symptoms that is uncorrelated with both the global factor and the other specific factors. It has been argued that bifactor models more accurately represent the etiological heterogeneity of ADHD: a bottom-up pathway resulting in hyperactivity/impulsivity, with inattention being secondary to those symptoms, and a top-down pathway leading mostly to inattention.…”
Section: Introductionmentioning
confidence: 99%
“…These findings accord with the scant reliability indices reported for specific factors within bifactor models of psychopathology (Martel, Pan, et al, 2017). Moreover, they accord with reliability of specific factors from bifactor models of narrower clinical constructs, including those of attention-deficit/hyperactivity disorder (Arias, Ponce, & Núñez, 2018;Willoughby, Fabiano, Schatz, Vujnovic, & Morris, 2017), disgust (Olatunji, Ebesutani, & Reise, 2015), and obsessive-compulsive disorder (Olatunji, Ebesutani, & Abramowitz, 2017).…”
Section: Summary and Implicationsmentioning
confidence: 64%
“…The dimensionality and internal structure of ADHD symptoms has been intensively researched in the last decades, in both the models proposed by the DSM and the International Statistical Classification of Diseases (ICD) (Bauermeister et al, 2010;Willcut et al, 2012) and alternative models that attempt to explain the high covariance among the totality of ADHD symptoms (e.g., Burns et al, 2014;Arias, Ponce, & Núñez, 2016). Most of these studies have been based on factor analysis.…”
Section: Manuscript To Be Reviewedmentioning
confidence: 99%