Psychometric Validation of Autism Knowledge Surveys to Identify Training Gaps in Autism Care

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Manasi_Somasundaram_Poster.pdf (228.49 KB)
Date
2023-08-04
Authors
Somasundaram, Manasi
Neal, Tiffany
Swiezy, Naomi
Language
American English
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Abstract

This practicum, conducted at HANDS in Autism® Interdisciplinary Training and Resource Center, focused on validating the Autism Knowledge Survey (AKS) through psychometric analysis. The AKS is designed to assess disparities in autism-related knowledge across diverse stakeholder groups, identify barriers to mutual understanding, and inform the development of targeted training interventions. The student’s responsibilities included reviewing the AKS manuscript, exploring AKS2 datasets, and performing statistical validation procedures using REDCap, R Studio, Excel, and EndNote. Through integration of psychometric data and evaluation of survey reliability, this project advanced the validation process for AKS2 and provided insights into how such instruments can support evidence-based practices in ASD care. Practicum outcomes included improved skills in statistical reasoning, data management, research writing, and project coordination—highlighting the critical role of data-informed approaches in enhancing autism education and healthcare outcomes.

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Keywords
Autism, Autism Spectrum Disorder (ASD), Individuals with ASD, Inpatient Psychiatry, Autism Knowledge Survey (AKS), Evidence-Based Practices (EBP), Psychometric Validation, Knowledge Disparities, Special Education
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Cite As
Somasundaram, M., Neal, T., & Swiezy, N. (2023). Psychometric Validation of Autism Knowledge Surveys to Identify Training Gaps in Autism Care. Presented at the Summer 2023 Poster Session, Luddy School of Informatics, Computing, and Engineering, Department of Biomedical Engineering and Informatics, Indiana University Indianapolis.
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https://hdl.handle.net/1805/47725
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