Evaluating Vigilance Deficits in ADHD: A Meta-Analysis of CPT Performance.
We meta-analytically review 47 between-groups studies of continuous performance test (CPT performance in children with attention-deficit/hyperactivity disorder (ADHD). Using a random effecis model and correcting for both sampling error and measurement unreliability, we found large effect sizes (δ) f...
| Publicado en: | Journal of Abnormal Psychology Vol. 121; no. 2; pp. 360 - 372 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
May2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=75497000&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 75497000 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0021843X JAP jtl: Journal of Abnormal Psychology issn: 0021843X maglogo: N pubinfo: dt: May2012 vid: 121 iid: 2 pid: 34 pub: American Psychological Association artinfo: ui: 75497000 10.1037/a0027205 ppf: 360 ppct: 12 formats: tig: atl: Evaluating Vigilance Deficits in ADHD: A Meta-Analysis of CPT Performance. aug: au: Huang-Pollock, Cynthia L. Karalunas, Sarah L. Tam, Helen Moore, Amy N. affil: Pennsylvania State University su: Behavior disorders in children Attention-deficit hyperactivity disorder Continuous performance test Meta-analysis sug: subj: Behavior disorders in children Attention-deficit hyperactivity disorder Continuous performance test Meta-analysis keyword: ADHD diffusion modeling meta-analysis signal detection theory sustained attention vigilance ADHD diffusion modeling meta-analysis signal detection theory sustained attention vigilance ab: We meta-analytically review 47 between-groups studies of continuous performance test (CPT performance in children with attention-deficit/hyperactivity disorder (ADHD). Using a random effecis model and correcting for both sampling error and measurement unreliability, we found large effect sizes (δ) for overall performance, but only small to moderate 6 for performance over time in the handful of studies that reported that data. Smaller δs for performance over time are likely attributable, in part, to the extensive use of stimuli for which targets and distractors are quite easily differentiated. Artifacts accounted for a considerable proportion of variance among observed δs. Effect sizes reported in previous reviews were significantly attenuated because of the presence of uncorrected artifacts and highlight the necessity of accounting for artifactual variance in future work to determine the amount of true neurocognitive heterogeneity within ADHD. Signal detection theory and diffusion modeling analyses indicated that the ADHD-related deficits were because of decreased perceptual sensitivity (d') and slower drift rates (v). Results are interpreted the context of several recent models of ADHD. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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