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Journal ArticleDOI

The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

TLDR
Algorithm sensitivities and specificities for autism and PD DNOS relative to nonspectrum disorders were excellent, with moderate differentiation of autism from PDDNOS.
Abstract
The Autism Diagnostic Observation Schedule-Generic (ADOS-G) is a semistructured, standardized assessment of social interaction, communication, play, and imaginative use of materials for individuals suspected of having autism spectrum disorders. The observational schedule consists of four 30-minute modules, each designed to be administered to different individuals according to their level of expressive language. Psychometric data are presented for 223 children and adults with Autistic Disorder (autism), Pervasive Developmental Disorder Not Otherwise Specified (PDDNOS) or nonspectrum diagnoses. Within each module, diagnostic groups were equivalent on expressive language level. Results indicate substantial interrater and test-retest reliability for individual items, excellent interrater reliability within domains and excellent internal consistency. Comparisons of means indicated consistent differentiation of autism and PDDNOS from nonspectrum individuals, with some, but less consistent, differentiation of autism from PDDNOS. A priori operationalization of DSM-IV/ICD-10 criteria, factor analyses, and ROC curves were used to generate diagnostic algorithms with thresholds set for autism and broader autism spectrum/PDD. Algorithm sensitivities and specificities for autism and PDDNOS relative to nonspectrum disorders were excellent, with moderate differentiation of autism from PDDNOS.

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Journal ArticleDOI

Psychiatric disorders in children with autism spectrum disorders: Prevalence, comorbidity, and associated factors in a population-derived sample

TL;DR: Psychiatric disorders are common and frequently multiple in children with autism spectrum disorders and should be routinely evaluated in the clinical assessment of this group.
Journal ArticleDOI

Global Prevalence of Autism and Other Pervasive Developmental Disorders

TL;DR: In this paper, a systematic review of epidemiological surveys of autistic disorder and pervasive developmental disorders (PDDs) worldwide was provided, where the authors considered the possible impact of geographic, cultural/ethnic/ethnic, and socioeconomic factors on prevalence estimates and on clinical presentation of PDD.
Journal ArticleDOI

Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: the Special Needs and Autism Project (SNAP).

TL;DR: Prevalence of autism and related ASDs is substantially greater than previously recognised and services in health, education, and social care will need to recognise the needs of children with some form of ASD, who constitute 1% of the child population.
Journal ArticleDOI

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

A Di Martino, +50 more
- 01 Jun 2014 - 
TL;DR: W Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity.
References
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Journal ArticleDOI

The measurement of observer agreement for categorical data

TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
Journal ArticleDOI

Coefficient alpha and the internal structure of tests.

TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
Journal ArticleDOI

Use of Ranks in One-Criterion Variance Analysis

TL;DR: In this article, a test of the hypothesis that the samples are from the same population may be made by ranking the observations from from 1 to Σn i (giving each observation in a group of ties the mean of the ranks tied for), finding the C sums of ranks, and computing a statistic H. Under the stated hypothesis, H is distributed approximately as χ2(C − 1), unless the samples were too small, in which case special approximations or exact tables are provided.
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