The factor structure of ADHD in a general population of primary school children

Ullebø, Anne Karin; Breivik, Kyrre; Gillberg, Christopher; Lundervold, Astri J.; Posserud, Maj-Britt

doi:10.1111/j.1469-7610.2012.02549.x

Cited by 50 publications

(72 citation statements)

References 38 publications

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“…1d) similar to that of Ullebø et al [8], where the HY items were excluded from the specific factors. As seen in table 2, neither the incomplete bifactor model of the FBB-ADHS nor that of the SBB-ADHS exhibited a meaningful difference regarding model fit compared to the other bifactor models.…”

Section: Resultsmentioning

confidence: 70%

“…Those studies have generated consistent proof of the superiority of bifactor models compared to models with correlated factors [4,5,6,7,8,9,10,11]. On top of that, they have found that the general factor explains much more variance than the specific factors, which calls the diagnostic procedure of both diagnostic manuals (DSM and ICD) into question (counting symptoms within the separate dimensions rather than over all items).…”

mentioning

confidence: 90%

“…In some studies the specific HY dimension was weakly defined (it mainly consisted of negative or low loadings) [5,8,11]. In others it was the IM dimension [4,10] or even the IN dimension [6,9], and one study even found an ICD model to be most adequate [12].…”

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confidence: 99%

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Bifactor Models Show a Superior Model Fit: Examination of the Factorial Validity of Parent-Reported and Self-Reported Symptoms of Attention-Deficit/Hyperactivity Disorders in Children and Adolescents

Rodenacker

Hautmann²,

Görtz-Dorten³

et al. 2016

Psychopathology

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Background: Various studies have demonstrated that bifactor models yield better solutions than models with correlated factors. However, the kind of bifactor model that is most appropriate is yet to be examined. The current study is the first to test bifactor models across the full age range (11-18 years) of adolescents using self-reports, and the first to test bifactor models with German subjects and German questionnaires. Sampling and Methods: The study sample included children and adolescents aged between 6 and 18 years recruited from a German clinical sample (n = 1,081) and a German community sample (n = 642). To examine the factorial validity, we compared unidimensional, correlated factors and higher-order and bifactor models and further tested a modified incomplete bifactor model for measurement invariance. Results: Bifactor models displayed superior model fit statistics compared to correlated factor models or second-order models. However, a more parsimonious incomplete bifactor model with only 2 specific factors (inattention and impulsivity) showed a good model fit and a better factor structure than the other bifactor models. Scalar measurement invariance was given in most group comparisons. Conclusion: An incomplete bifactor model would suggest that the specific inattention and impulsivity factors represent entities separable from the general attention-deficit/hyperactivity disorder construct and might, therefore, give way to a new approach to subtyping of children beyond and above attention-deficit/hyperactivity disorder.

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Section: Resultsmentioning

confidence: 70%

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confidence: 90%

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Bifactor Models Show a Superior Model Fit: Examination of the Factorial Validity of Parent-Reported and Self-Reported Symptoms of Attention-Deficit/Hyperactivity Disorders in Children and Adolescents

Rodenacker

Hautmann²,

Görtz-Dorten³

et al. 2016

Psychopathology

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“…43 The reliability has been very good to excellent. 44 A score ≥95th percentile has been shown to be closely associated with ADHD. 45 …”

Section: Autism Spectrum Screening Questionnairementioning

confidence: 99%

Mental Health in Children Born Extremely Preterm Without Severe Neurodevelopmental Disabilities

et al. 2016

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“…The child that gets an ADHD diagnoses fulfil at least six criteria in each group not related to another diagnosis and in different contexts before 7 years of age. Children with ADHD have difficulties in inhibitory control (Barkley, 1997;Senderecka, Grabowska, Szewczyk, Gerc, & Chmylak, 2012) which results in inattention and impulsivity (Breivik, Gillberg, Lundervold, & Posserud, 2012).…”

Section: Adhdmentioning

confidence: 99%

Prospective Memory, Working Memory, Inhibitory Control and Time Reproduction in Boys with Attention Deficient Hyperactivity Disorder (ADHD) and Age Matched Controls

Levén

Hillertz

2014

International Journal of Advances in Psychology

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Background although prospective memory is a known challenge for children with ADHD, few research has been undertaken on the topic. In this study we analyse the relation between prospective memory, working memory, time reproduction and impulse control. Cognitive training often computer-based such as Cogmed (Klingberg et al., 2005) can improve working memory and inhibitory control and therefore also improve prospective memory functioning.

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The factor structure of ADHD in a general population of primary school children

Cited by 50 publications

References 38 publications

Bifactor Models Show a Superior Model Fit: Examination of the Factorial Validity of Parent-Reported and Self-Reported Symptoms of Attention-Deficit/Hyperactivity Disorders in Children and Adolescents

Bifactor Models Show a Superior Model Fit: Examination of the Factorial Validity of Parent-Reported and Self-Reported Symptoms of Attention-Deficit/Hyperactivity Disorders in Children and Adolescents

Mental Health in Children Born Extremely Preterm Without Severe Neurodevelopmental Disabilities

Prospective Memory, Working Memory, Inhibitory Control and Time Reproduction in Boys with Attention Deficient Hyperactivity Disorder (ADHD) and Age Matched Controls

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