Nova Southeastern University Office of Academic Affairs Search NSU Site Map Nova Southeastern University
President's Faculty R & D Grant 
Committees, Councils
  and Boards
Faculty Policy Manual
NSU Scholarly Journals
Professional Journals
Prof. Memberships
Academic Policies & Procedures
Provost's Research and Scholarship Award
President's Faculty
 R & D Grant
PFRDG Application Review Process by NSU Librarians
Office of Academic Quality, Assessment, and Accreditation
Contact Us

Print this page  


With a focus on learning, we employ a range of strategies to support innovation, collaboration across centers, and university-wide discussion and decision-making


Ninth Annual Grant Winners 2008-2009

Dean H. Wells Singleton, Ph.D. (FSEHS)
Dean Roni Leiderman, Ph.D. (MSI)
Dean Karen Grosby, M.Ed. (CPS)

Barbara Garcia-Lavin, Ph.D. (FSEHS)
Terri Mortensen, Psy.D. (FSEHS)
Susan Kabot, Ed.D., CCC-SLP (MSI)
James Pann, Ph.D. (FSEHS)
Elda Veloso, Ph.D. (FSEHS)

Angela Yehl, M.S. (CPS)
Maribel Del Rio, Psy.D. (FSEHS)

Title: Agreement among Measures of Autism Spectrum Disorders in School-age Children


Grant Winners 2008-2009

Accurate identification of Autism Spectrum Disorders (ASD) is crucial to meeting the needs of school-age children with ASD, but there is a paucity of research examining the efficacy of best practice diagnostic strategies and instruments used to identify ASD in school-age children. Current best practice parameters (Filipek, et al., 1999) for diagnosing ASD, include the use of diagnostic measures, such as the Autism Diagnostic Interview-revised (ADI-R), the Gilliam Autism Rating Scale (GARS), the Childhood Autism Rating Scale (CARS), and the Autism Diagnostic Observation Schedule-Generic (ADOS-G), as well as measures of intellectual, language, and adaptive functioning. To date, only one study, carried out with toddlers, considered the agreement among various best practice diagnostic strategies and instruments used to identify ASD (Ventola et al., 2006). However, there are no published studies which examine the agreement among best practice diagnostic strategies and instruments used to identify ASD in school-age children. The proposed study aims to bridge this gap in the existing literature by investigating concordance and discrepancy rates among the ADI-R, GARS-2, CARS and ADOS-G, as well as agreement with ASD diagnostic criteria outlined in the DSM-IV-TR in the diagnosis of ASD in school-age children (i.e., children ages 5-12). Approximately 40 participants will be recruited from referrals primarily emanating from the University of Miami/Nova Southeastern University Center for Autism Related Disabilities (UM-NSU CARD), and they and their parents will be administered the diagnostic instruments as part of a comprehensive evaluation. Cohen's kappa (k) will be used to evaluate the pair-wise agreement among the four instruments and the DSM-IV-TR criteria, and sensitivity, specificity, and positive predictive values will also be calculated for the four measures against the DSM-IV-TR.