ERIC Number: EJ1109776
Record Type: Journal
Publication Date: 2016-Sep
Abstractor: As Provided
Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis
Cohen, Ira L.; Liu, Xudong; Hudson, Melissa; Gillis, Jennifer; Cavalari, Rachel N. S.; Romanczyk, Raymond G.; Karmel, Bernard Z.; Gardner, Judith M.
Journal of Autism and Developmental Disorders, v46 n9 p3006-3022 Sep 2016
In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80%, generalized to an independent validation set, and generalized across age groups and sites, and agreed well with ADOS classifications. Parent PDDBIs yielded better results than teacher PDDBIs but, when CART predictions agreed across informants, sensitivity increased. Results also revealed three subtypes of ASD: minimally verbal, verbal, and atypical; and two, relatively common subtypes of non-ASD children: social pragmatic problems and good social skills. These subgroups corresponded to differences in behavior profiles and associated bio-medical findings.
Descriptors: Classification, Regression (Statistics), Children, Autism, Pervasive Developmental Disorders, Behavior Rating Scales, Accuracy, Parents, Teachers, Prediction, Data Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
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