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Crippa, Alessandro; Salvatore, Christian; Perego, Paolo; Forti, Sara; Nobile, Maria; Molteni, Massimo; Castiglioni, Isabella – Journal of Autism and Developmental Disorders, 2015
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children…
Descriptors: Children, Autism, Psychomotor Skills, Task Analysis
Villa, Susanna; Micheli, Enrico; Villa, Laura; Pastore, Valentina; Crippa, Alessandro; Molteni, Massimo – Journal of Autism and Developmental Disorders, 2010
The PEP-R (psychoeducational profile revised) is an instrument that has been used in many countries to assess abilities and formulate treatment programs for children with autism and related developmental disorders. To the end to provide further information on the PEP-R's psychometric properties, a large sample (N = 137) of children presenting…
Descriptors: Autism, Interrater Reliability, Psychometrics, Screening Tests