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Mason was not unlike many children in that according to the most recent Center for Disease Control

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Mason was not unlike many children in that according to the most recent Center for Disease Control (CDC) reports, one in every sixty-eight children is on the autism spectrum. This is a 30% increase from the findings reported two years ago of one in every eight-eight children. The current study also reports that the proportion of boys with autism (1 in 42) is significantly higher that girls (1 in 189) (10 Things to Know About New Autism Data. 2014). Changes in the DSM-V that incorporated Asperger syndrome (AS), autistic disorder, childhood disintegrative disorder, and pervasive developmental disorders not otherwise specified into the new umbrella diagnosis of autism spectrum disorder have changed the view of autism and people on the autism …show more content…

2014). With the recent release of the DSM-V, these have all been combined under one diagnosis of autism spectrum disorder and are differentiated through the use of numerical scales to describe severity of effect. Primary diagnostic tests used are the Checklist for Autism Spectrum Disorder, Childhood Autism Rating Scale (CARS), and Gilliam Asperger’s Disorder Scale (GADS). The Checklist for Autism Spectrum Disorder is the only checklist or rating scale designed to evaluate children with either low or high functioning autism spectrum disorder. The Childhood Autism Rating Scale or CARS is used because it has the best psychometric support for children with low functioning autism when compared with other autism rating scales. The Gilliam Asperger’s Disorder Scale or GADS is used because it is the only scale for high functioning autistic children in the age range of early childhood to adolescence (Mayes, S. D., Calhoun, S., Murray, M., et al. 2009). Through the use of these diagnostic tools to determine the evidence of a PDD and its severity of symptomatic characteristics, a subject can be diagnosed with autism spectrum disorder and classified into severity of autism.
The variance in severity on the autism spectrum can be seen through a comparison of a high and a low

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