This book examines evidence-based methods and clinical challenges in the assessment and diagnosis of autism spectrum disorder (ASD) across the lifespan. It addresses a range of autism assessment issues, including intelligence, intellectual disability, and feeding and sleep issues. The book discusses such topics as autism and executive function, forensic mental health, and technology use in context of cultural considerations. It addresses clinician stress and professional fulfillment in diagnosing and assessing autism.

Key areas of coverage include:

1. The use of machine learning in autism assessment.
2. Autism assessment during infancy, early childhood, and adolescence.
3. Autism assessment during adulthood.
4. Clinical ethics and autism diagnosis and assessment.
5. Ethics and legal issues and implications in the assessment of autism.

Assessment and Diagnosis in Autism is a must-have volume for clinicians and related therapists and professionals as well as researchers, professors, and graduate students in developmental psychology, clinical child and school psychology, child and adolescent psychiatry, social work, developmental psychology, behavioral therapy/rehabilitation, pediatrics, physical therapy, occupational therapy, neurology, and special education.