Browsing by Author "Deodhar, A"

Now showing 1 - 2 of 2
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    Analyzing client denial trends in the NDI dataset: Patterns and predictive insights
    (2024-05) Samala, Vishwasree; Neal, Tiffany; Deodhar, A; Devarapalli, Baby Amulya; Swiezy, Naomi
    This project analyzed denial patterns among clients in the HANDS in Autism® NDI Exploratory dataset. Using REDCap and Cerner data, a structured coding scheme was implemented for consistent data entry and scoring. Python was used to quantitatively analyze denial reasons across 2021–2023. The most frequent denial factors included unmet family/parent criteria and issues unrelated to autism. Statistical testing, including Chi-Square and Fisher’s exact tests, revealed no significant relationship between gender and denial reasons. The project also produced a user guide for REDCap data entry and proposed future directions, including expanding the dataset and improving data completeness through enhanced data collection practices.
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    HANDS in Autism: Collaborative sites
    (2024-04-13) Thurupu, Sai Varshitha; Neal, T; Deodhar, A; Swiezy, N
    This Project implements evidence-based training modules in diverse school settings to enhance staff responsiveness to students with Autism Spectrum Disorder (ASD). This study focused on evaluating the impact of visual structure modules and reinforcement strategies using the Classroom-Wide Data Rating (C-WDR) method. Observations from North Webster Elementary and Lakeview Middle School showed that strategies such as 'Specific Praise' and 'Positive Attention' led to improved staff reactions to appropriate student behavior. Findings underscore the importance of continuous module refinement and targeted reinforcement techniques. Although limited by sample size, results suggest that structured training modules are effective tools in fostering inclusive, supportive educational environments.