A cluster-analytically derived typology: feasible alternative to clinical diagnostic classification of children?
Despite numerous studies of the relationships among symptoms manifested by children and adolescents, there have been few systematic attempts to group individuals on the basis of the syndromes identified. In the course of a treatment evaluation project requiring classification of both child patients and untreated controls, the present study was conducted to determine whether replicable types of children and adolescents could be identified by the cluster analysis of their IJR Behavior Checklist profiles. One clinical sample (N = 185) and two mixed clinical and normal subsamples (Ns of 358 and 373) were cluster-analyzed separately. Seven types that replicated across at least two subsamples were identified: (1) High Assets, Flat Symptom Profile; (2) Sociopathic, Academic Problems; (3) Moderate Assets, Egocentric, Incontinent; (4) Insecure, Somaticizing, Underachieving; (5) Aggressive, Overreactive; (6) Schizoid, Withdrawn, Anxious, Bizarre; and (7) Diffuse, Mixed Pathology. The issue posed by the title of the article was explored in the light of the findings.
D000293:Adolescent; D002648:Child; D002653:Child Behavior Disorders / Q000523:psychology; D002675:Child, Preschool; D003937:Diagnosis, Differential; D006801:Humans; D001523:Mental Disorders / Q000145:classification* / Q000175:diagnosis / Q000523:psychology; D011581:Psychological Tests; D011594:Psychometrics; D012917:Social Adjustment; D013029:Space-Time Clustering