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      The Autism Diagnostic Observation Schedule: revised algorithms for improved diagnostic validity.

      Journal of Autism and Developmental Disorders
      Adolescent, Asperger Syndrome, diagnosis, psychology, Autistic Disorder, Child, Child Development Disorders, Pervasive, Child, Preschool, Communication, Female, Humans, Imagination, Infant, Intellectual Disability, Interpersonal Relations, Language Development Disorders, Male, Mass Screening, Observation, Play and Playthings, Psychological Tests, statistics & numerical data, Psychometrics, Reference Values, Reproducibility of Results, Statistics as Topic, Stereotyped Behavior, Vocabulary

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          Abstract

          Autism Diagnostic Observation Schedule (ADOS) Modules 1-3 item and domain total distributions were reviewed for 1,630 assessments of children aged 14 months to 16 years with an autism spectrum disorder (ASD) or with heterogeneous non-spectrum disorders. Children were divided by language level and age to yield more homogeneous cells. Items were chosen that best differentiated between diagnoses and were arranged into domains on the basis of multi-factor item-response analysis. Reflecting recent research, the revised algorithm now consists of two new domains, Social Affect and Restricted, Repetitive Behaviors (RRB), combined to one score to which thresholds are applied, resulting in generally improved predictive value.

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Visual Fixation Patterns During Viewing of Naturalistic Social Situations as Predictors of Social Competence in Individuals With Autism

            Manifestations of core social deficits in autism are more pronounced in everyday settings than in explicit experimental tasks. To bring experimental measures in line with clinical observation, we report a novel method of quantifying atypical strategies of social monitoring in a setting that simulates the demands of daily experience. Enhanced ecological validity was intended to maximize between-group effect sizes and assess the predictive utility of experimental variables relative to outcome measures of social competence.
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              Generalized Latent Variable Modeling

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