Somasundaram, ManasiNeal, TiffanySwiezy, Naomi2025-05-052025-05-052023-08-04Somasundaram, 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.https://hdl.handle.net/1805/47725This 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.en-USAutismAutism Spectrum Disorder (ASD)Individuals with ASDInpatient PsychiatryAutism Knowledge Survey (AKS)Evidence-Based Practices (EBP)Psychometric ValidationKnowledge DisparitiesSpecial EducationPoster