Identification of the Separation Anxiety Disorder Based on the Child Symptom Inventory–4 (CSI–4) and Spence Children’s Anxiety Scale (SCAS) Cover Image

Identificarea prezenţei anxietăţii de separare cu ajutorul chestionarului de evaluare a simptomelor copiilor−4 (CSI−4) şi al scalei spence
Identification of the Separation Anxiety Disorder Based on the Child Symptom Inventory–4 (CSI–4) and Spence Children’s Anxiety Scale (SCAS)

Author(s): Monica Albu, Anca Bălaj
Subject(s): Psychology
Published by: Editura Academiei Române
Keywords: CSI−4; SCAS; separation anxiety disorder

Summary/Abstract: The Child Symptom Inventory −4 (CSI−4; Gadow, Sprafkin, 2002) is a screening instrument that screens for cognitive, emotional and behavioural symptoms of a number of psychiatric disorders in children. CSI−4 has two forms: one for teachers and one for parents. Each disorder is rated using a scale. The Spence Children's Anxiety Scale (SCAS; Spence, 1997) is a child self-report measure designed to evaluate symptoms relating to six anxiety disorders. Each disorder is rated using a scale. The purpose of this study was to analyse the possibility to predict the presence of the separation anxiety disorder with a probability higher than 0.50, based on the T scores of the scales Separation Anxiety and Generalized Anxiety, separately for SCAS and for CSI−4. We used two samples consisted of children between 8 and 11 years old, one for CSI−4 (N=817) and one for SCAS (N=721). We found that, in the case of the CSI-4, the probability of the presence of the separation anxiety disorder is higher than 0.50 (P=0.778) if the T scores of the Separation Anxiety scale of CSI−4 Parent Form, the Generalized Anxiety scale of CSI−4 Parent Form and the Generalized Anxiety scale of CSI−4 Teacher Form are all higher than 70. In the case of SCAS, when the T scores of the Separation Anxiety and Generalized Anxiety scales are both higher than 70, the probability of the presence of the separation anxiety disorder is higher than 0.50 (P=0.636).

  • Issue Year: XII/2014
  • Issue No: 12
  • Page Range: 315-324
  • Page Count: 10
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