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A replication of the Autism Diagnostic Observation Schedule (ADOS) revised algorithms
Katherine Gotham1, Susan Risi2, Geraldine Dawson2
1Ms. Gotham and Drs. Risi and Lord are with the University of Michigan Autism and Communication Disorders Center; Dr. Dawson is with the University of Washington; Drs. Tager-Flusberg and Joseph are with Boston University School of Medicine; Dr. Carter is with the University of Massachusetts; Dr. Hepburn is with University of Colorado Health Sciences Center; Dr. McMahon is with the University of Utah; Drs. Rodier and Hyman are with University of Rochester Medical Center; Dr. Sigman is with University of California, Los Angeles; Dr. Rogers is with the University of California, Davis M.I.N.D. Institute; Dr. Landa is with Kennedy Krieger Institute; Drs. Spence and Osann and Ms. Flodman are with University of California, Irvine; Dr. Volkmar is with the Yale Child Study Center; Drs. Hollander and Buxbaum are with the Mount Sinai School of Medicine; and Dr. Pickles is with the University of Manchester..
Objective:
To replicate the factor structure and predictive validity of revised Autism Diagnostic Observation Schedule algorithms in an independent dataset (N = 1,282).
Method:
Algorithm revisions were replicated using data from children ages 18 months to 16 years collected at 11 North American sites participating in the Collaborative Programs for Excellence in Autism and the Studies to Advance Autism Research and Treatment.
Results:
Sensitivities and specificities approximated or exceeded those of the old algorithms except for young children with phrase speech and a clinical diagnosis of pervasive developmental disorders not otherwise specified.
Conclusions:
Revised algorithms increase comparability between modules and improve the predictive validity of the Autism Diagnostic Observation Schedule for autism cases compared to the original algorithms.
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