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The Impact of Intelligence and Symptom Behavior Outcome on Predicting Autism Spectrum Disorder.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Impact of Intelligence and Symptom Behavior Outcome on Predicting Autism Spectrum Disorder./
作者:	Malik, Ammara.
面頁冊數:	1 online resource (120 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Contained By:	Dissertations Abstracts International84-04A.
標題:	Psychology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29393757click for full text (PQDT)
ISBN:	9798352953822

The Impact of Intelligence and Symptom Behavior Outcome on Predicting Autism Spectrum Disorder.
Malik, Ammara.

The Impact of Intelligence and Symptom Behavior Outcome on Predicting Autism Spectrum Disorder. - 1 online resource (120 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: A.

Thesis (Psy.D.)--University of Hartford, 2022.

Includes bibliographical references

Despite decades of research and study, tracking and understanding the prevalence of autism spectrum disorder poses challenges due to the diversity and nonuniformity in symptom presentation, lack of diagnostic markers, and changing diagnostic criteria. The latest prevalence ASD estimate, as measured by Autism and Developmental Disabilities Monitoring is 18.5 per 1,000 (one in 54) children aged 8 years in 2016. There has been growing concern whether ASD is being captured properly using the current method of assessment and whether ASD is being missed entirely and being misdiagnosed. Given the increase in prevalence rates, prompt and accurate recognition and evaluation of ASD in young children remains an important public health concern with evidence linking early treatment and appropriate services for ASD with improved outcomes. This current study utilizes data collected throughout New York City through the Healthy Brain Network study to examine individuals with ASD and those without ASD.Results from the study showed that of the 1,691 participants, 16.09% were diagnosed with ASD and of those, 93.75% were males. The top five comorbidities of ASD were ADHD-combined type, ADHD-inattentive type, oppositional defiant disorder, specific learning disorder with impairment in reading, and generalized anxiety disorder. The Wechsler Intelligence Scale for Children (WISC-V), Social Communication Scale (SCQ), and Social Responsiveness Scale (SRS) were the three diagnostic tools used for the analyses. Results indicated that children with ASD had lower intelligence scores when compared to children without ASD. Participants with a diagnosis of ASD were found to have higher social communication and higher social responsiveness scores when compared to participants without a diagnosis of ASD, indicating higher deficits. ASD diagnosis was accurately predicted based on the predictor variables with the model correctly classifying 84.3% of overall cases. SCQ was found to be positively and significantly correlated with SRS. Lastly, intelligence did not moderate the relationship between social communication and social responsiveness. Implications of the study include learning which variables best predict ASD, understanding commonalities with co-morbid diagnoses, and providing analysis on the diagnostic utility of assessment measures and ways to refine diagnosis.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352953822Subjects--Topical Terms:

519075
Psychology.
Subjects--Index Terms:

AutismIndex Terms--Genre/Form:

542853
Electronic books.

The Impact of Intelligence and Symptom Behavior Outcome on Predicting Autism Spectrum Disorder.
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