Browsing by Subject "Behavioral Outcome Analysis"

Now showing 1 - 2 of 2
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    Evaluating the Impact of Training Models on Functional Communication in Educational Settings for Individuals with Autism
    (2023) Thumu, Mrudhula; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This project focused on evaluating functional communication outcomes in students with Autism Spectrum Disorder (ASD) across educational sites implementing the HANDS in Autism® Model. Responsibilities included cleaning, organizing, and managing Classroom-Wide Data Rating (CWDR) entries, tracking project timelines, and conducting staff interviews for qualitative insight. Preliminary findings suggest a positive correlation between HANDS Model training and improved student communication ratios over time. The data also indicated the need for increased staff responsiveness to target behaviors and improved training consistency across sites. Additional contributions included visualizing and interpreting behavioral trends, supporting dissemination efforts, and facilitating team operations. Recommendations emphasized longitudinal tracking, tailored educator training, and investment in collaborative staff development to sustain evidence-based improvements in communication outcomes for students with ASD.
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    Longitudinal Behavioral Trend Analysis Using the Aberrant Behavior Checklist in Individuals With Developmental Disabilities
    (2025-05-09) Janagam, Kavyasri; Neal, Tiffany; Devarapalli, Baby Amulya; Swiezy, Naomi
    This project aimed at analyzing behavioral changes in individuals with developmental disabilities over time, utilizing the Aberrant Behavior Checklist (ABC). Data were collected at six timepoints ranging from pre-admission to 12 months post-discharge. The analysis focused on five key behavioral subscales: irritability, social withdrawal, stereotypic behavior, hyperactivity/noncompliance, and inappropriate speech. Results indicated the greatest improvements in stereotypic behavior and irritability, while social withdrawal and inappropriate speech showed only modest progress, suggesting a need for more targeted interventions. Power BI was employed to clean, visualize, and track behavioral trends, facilitating data-driven insights and recommendations for enhancing intervention strategies. The findings highlight the importance of flexible, individualized support plans in optimizing behavioral outcomes.