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Home » CSD receives IRB approval, paving the way for groundbreaking research in applied behavior analysis
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CSD receives IRB approval, paving the way for groundbreaking research in applied behavior analysis

Paul E.By Paul E.October 29, 2024No Comments3 Mins Read
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CONCORD, Calif. , Oct. 29, 2024 /PRNewswire/ — In an exciting development, the Center for Social Dynamics (CSD) receives Institutional Review Board (IRB) approval to conduct research in humans and secured protection. Protection of the welfare, rights, and privacy of humans involved in research projects. This milestone enables CSD to steadily conduct ethical and professional research, with publications to be proposed and distributed at future professional meetings, and strengthens CSD’s position at the forefront of clinical practice. can be made firm.

CSD is a clinician-centered organization dedicated to the continued professional development of clinical teams and the field of Applied Behavior Analysis (ABA). With an approved Institutional Review Board, CSD continues its tradition of supporting clinicians who advance the field of ABA through high-quality research aimed at informing future treatment protocols. In addition to direct research under institutional review boards, CSD will also continue to support clinicians who conduct research under the school’s institutional review boards during master’s and doctoral programs. As part of their dissertation program, two CSD clinicians are conducting research on:

The first study, led by DBH(c) Siti J. Ahmad, BCBA, aimed to improve care coordination for patients with CSD through the proposed Care Coordination for Applied Behavior Analysis (CCABA) training program. is focused on. This program aims to apply the principles of the medical home model to ABA service providers to enhance service delivery and increase care coordination consultation across caregivers and outside providers. This study investigates whether training based on these principles can lead to improved collaboration between ABA clinicians, caregivers, and other health care professionals, and ultimately improve client outcomes. I am. The second study, led by Annabelle Kaplan, BCBA MSc, was conducted with CSD clients and was a descriptive comparison (accuracy, efficiency, and engagement) of estimated data collection and test-by-trial data collection. . This study investigates two data collection methods used within an ABA intervention for children with autism spectrum disorder (ASD). This study compares inferential data collection, which uses rating scales to estimate learner performance, with more traditional trial-by-trial data collection methods. We evaluate the accuracy of these systems, their effectiveness in teaching, and their impact on both interventionist and learner engagement. Ancillary data also reveal whether the interventionist’s level of experience correlates with the accuracy of estimated data collection.

A step towards transforming clinical practice

These research efforts demonstrate CSD’s commitment to advancing clinical practice in the ABA field. CSD’s recent Institutional Review Board approval expands the ways it supports clinically-driven research that is directly integrated into real-world clinical settings. Our vision is to translate our findings into actionable improvements related to coordination of care and interventions for better outcomes for individuals with ASD.

About the Center for Social Dynamics (CSD)

The Center for Social Dynamics (CSD) is committed to supporting individuals with autism and developmental delays through personalized applied behavior analysis (ABA) services. Our mission is to help every client reach their potential by providing dynamic, customized programs that promote growth and independence. With a dedicated team of professionals and a customer-first approach, CSD provides innovative solutions that meet the diverse needs of families and communities across multiple states.

For more information, please visit www.csdautismservices.com.

contact:
derek thomas
(email protected)

Source Social Dynamics Center

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