Handwriting-Based Model for Identification of Developmental Disorders among North Indian Children

Autor/in	Dhall, Jasmine Kaur
Titel	Handwriting-Based Model for Identification of Developmental Disorders among North Indian Children
Quelle	In: School Psychology International, 37 (2016) 1, S.51-63 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0143-0343
DOI	10.1177/0143034315615936
Schlagwörter	Handwriting; Developmental Disabilities; Foreign Countries; Psychomotor Skills; Cognitive Processes; Spatial Ability; Models; Disability Identification; Attention Deficit Hyperactivity Disorder; Attention Deficit Disorders; Children; Preadolescents; Behavior Disorders; Statistical Analysis; Regression (Statistics); India + Suchen Sie Ihr Suchwort? Handschrift; Entwicklungsstörung; Ausland; Psychomotorische Aktivität; Cognitive process; Kognitiver Prozess; Räumliches Vorstellungsvermögen; Analogiemodell; Attention deficit hyperactivity disorder; ADHS; Aufmerksamkeits-Defizit-Hyperaktivitäts-Störung; Aufmerksamkeitsstörung; Child; Kind; Kinder; Pre-adolescence; Präadoleszenz; Statistische Analyse; Regression; Regressionsanalyse; Indien
Abstract	Handwriting execution is based on the cognitive, kinesthetic, motor skills, and manual co-ordination skills of an individual. The deterioration in handwriting quality is a common implication of neurological disorders. Difficulty and degradation in handwriting has been attributed to the sensory motor deficits prevalent in developmental disorders. In spite of the association between developmental disorders and handwriting ability, the diagnostic potential of handwriting characteristics remains untapped. The present case control study was conducted among 300 subjects aged 6- to 11-years-old of North Indian origin to measure the potentials of handwriting characteristics to identify the selected developmental disorders namely ADHD, AD/HD, CD and DCD. A significant difference was obtained in the kinematics, relative size, number of handwriting defects, spatial orientation, line quality, and the mirror image presence between children with developmental disorders and typically developing (TD) children. A logistic model based on selected handwriting characteristics showed a cross validated 94.9% accuracy rate for diagnosis of developmental disorders. Receiver operator characteristic curve (ROC) analysis was conducted to assess the diagnostic potential of the model as presented by the area under curve was found to be 98.5%. The method is non-invasive, operationally easy and useful for an early identification of developmental disorders by parents and educators. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01