Identifying Subtypes among Children with Developmental Coordination Disorder and Mathematical Learning Disabilities, Using Model-Based Clustering

Autor/inn/en	Pieters, Stefanie; Roeyers, Herbert; Rosseel, Yves; Van Waelvelde, Hilde; Desoete, Annemie
Titel	Identifying Subtypes among Children with Developmental Coordination Disorder and Mathematical Learning Disabilities, Using Model-Based Clustering
Quelle	In: Journal of Learning Disabilities, 48 (2015) 1, S.83-95 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-2194
DOI	10.1177/0022219413491288
Schlagwörter	Disability Identification; Developmental Disabilities; Psychomotor Skills; Mathematics Skills; Learning Disabilities; Models; Correlation; Children; Visual Perception; Foreign Countries; Multivariate Analysis; Scores; Reading Skills; Spelling; Probability; Netherlands; Beery Developmental Test of Visual Motor Integration; Wechsler Intelligence Scale for Children + Suchen Sie Ihr Suchwort? Entwicklungsstörung; Psychomotorische Aktivität; Mathmatics achievement; Mathematics ability; Mathematische Kompetenz; Learning handicap; Lernbehinderung; Analogiemodell; Korrelation; Child; Kind; Kinder; Visuelle Wahrnehmung; Ausland; Multivariate Analyse; Reading skill; Lesefertigkeit; Schreibweise; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Niederlande
Abstract	A relationship between motor and mathematical skills has been shown by previous research. However, the question of whether subtypes can be differentiated within developmental coordination disorder (DCD) and/or mathematical learning disability (MLD) remains unresolved. In a sample of children with and without DCD and/or MLD, a data-driven model-based clustering was used to identify subgroups of individuals with relatively homogeneous profiles on measures associated with motor and mathematical skills. One subgroup of children with motor problems was found based on motor variables. Based on mathematical variables, two clinical clusters were found: a subtype with number fact retrieval problems and a subtype with procedural calculation problems. Clustering with motor and mathematical skills revealed two clinical clusters: a cluster with number fact retrieval as well as procedural calculation problems and below average motor and visual-motor integration skills. A second cluster of children had only procedural calculation and visual-motor problems. Our results raise questions about the usefulness of placing children who have below average mathematical skills into a single diagnostic category. Furthermore, we inform ongoing debates about the overlap between DCD and MLD, as below average motor skills were found in both MLD subgroups, although a different motor profile is linked to a different mathematical profile. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10