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Latent Class Analysis of Access to D...

Telesford, Alana.

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Latent Class Analysis of Access to Diagnosis and Treatment for Children with Autism Spectrum Disorders.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Latent Class Analysis of Access to Diagnosis and Treatment for Children with Autism Spectrum Disorders./
Author:	Telesford, Alana.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	129 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Contained By:	Dissertations Abstracts International82-06B.
Subject:	Developmental psychology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28155598
ISBN:	9798698540274

Latent Class Analysis of Access to Diagnosis and Treatment for Children with Autism Spectrum Disorders.
Telesford, Alana.

Latent Class Analysis of Access to Diagnosis and Treatment for Children with Autism Spectrum Disorders. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 129 p.

Source: Dissertations Abstracts International, Volume: 82-06, Section: B.

Thesis (Ph.D.)--Lehigh University, 2021.

This item must not be sold to any third party vendors.

Obtaining a clinical diagnosis of autism spectrum disorder (ASD) and subsequent evidence-based treatment is a complex and lengthy process. Previous research has demonstrated the effects of individual-, family-, and community-level variables on a child's ability to access diagnosis and treatment, although the direction of these relationships varies across studies. In addition, most studies examine the diagnostic and treatment processes in isolation despite the assumption that early screening and diagnosis enables families to access needed services more rapidly. The present study utilized a person-centered approach to understanding the full care experience (i.e., diagnosis and treatment) of children with ASD. Latent class analysis was used to identify and describe homogenous diagnostic and treatment experiences of children with ASD in a nationally-representative sample. Children's race/ethnicity, socioeconomic status, ASD symptom severity, and comorbid psychological concerns were explored as predictors of class membership. Results supported the existence of a four-class model of care experiences. ASD symptom severity and comorbid conditions were found to be significant predictors of class membership. Implications for clinical care and future research were discussed.

ISBN: 9798698540274Subjects--Topical Terms:

516948
Developmental psychology.
Subjects--Index Terms:

2011 Pathways

Latent Class Analysis of Access to Diagnosis and Treatment for Children with Autism Spectrum Disorders.
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