Use of Clustering Techniques in Deriving Psychoeducational Profiles.

This study explores whether a synthesis of clinical and statistical data taken from the psychoeducational reports completed on a group of 42, 9- to 11-year-old boys referred to a Child Psychiatric Outpatient Department for school-learning problems, would yield discrete clinical categories or cluster...

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Detalles Bibliográficos
Publicado en:Contemporary Educational Psychology Vol. 7; no. 1; pp. 81 - 90
Autores principales: Sinclair, Esther, Kheifets, Leeka
Formato: Artículo
Publicado: Academic Press Inc. Jan1982
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This study explores whether a synthesis of clinical and statistical data taken from the psychoeducational reports completed on a group of 42, 9- to 11-year-old boys referred to a Child Psychiatric Outpatient Department for school-learning problems, would yield discrete clinical categories or clusters of children. An amalgamated hierarchical clustering technique which formed clusters by subjects based on a measure of euclidean distance was used. Forty-two reports were evaluated by licensed educational psychologists in five input areas: Developmental History, School History, Cognitive Functioning, Sensorimotor/Perceptual Functioning, and Academic Achievement. One of three educational placement recommendations was identified for each subject: No Educational Placement Intervention Necessary, Special Tutoring or Remediation, and Special Class Placement. Using clinical characteristic ratings given by the evaluators on each variable, a similarity-dissimilarity matrix was formed which classified subjects into four discrete clusters based on their clinical profiles. A χ test determined that there was a significant association (p < .01) between cluster membership and educational placement recommendations.