Naturalistic Developmental Behavioral Interventions: Empirically Validated Treatments for Autism Spectrum Disorder
By L. Schreibman, Geraldine Dawson, Aubyn C. Stahmer, R. Landa, Sally J. Rogers, G. McGee, Connie Kasari, Brooke Ingersoll, A. Kaiser, Yvonne Bruinsma and 3 more. Journal of Autism and Developmental Disorders, 2015
1,186 citations recorded by the source corpus.
Earlier autism diagnosis, the importance of early intervention, and development of specific interventions for young children have contributed to the emergence of similar, empirically supported, autism interventions that represent the merging of applied behavioral and developmental sciences. “Naturalistic Developmental Behavioral Interventions (NDBI)” are implemented in natural settings, involve shared control between child and therapist, utilize natural contingencies, and use a variety of behavioral strategies to teach developmentally appropriate and prerequisite skills. We describe the development of NDBIs, their theoretical bases, empirical support, requisite characteristics, common features, and suggest future research needs. We wish to bring parsimony to a field that includes interventions with different names but common features thus improving understanding and choice-making among families, service providers and referring agencies.
Subfields: Clinical Psychology, Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/c02b88e8a6bb5f2088c1517dfe44924c960a2114
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In Clinical Psychology
In Cognitive Neuroscience
- Meng-Chuan Lai
- Michael V. Lombardo
- Simon Baron-Cohen
- M. Roberts
- E. Barton
- A. Kaiser
- Sally J. Wheelwright
- Daniel Nettle
In Psychiatry and Mental health
Citations in the corpus
- The effects of parent-implemented language interventions on child linguistic outcomes: A meta-analysis (2020, background): “These behaviors comprise two broad classes of language upport: (a) contingent responsivity and (b) linguistic modelng (Schreibman et al., 2015; Tamis-LeMonda & Bornstein, 2002; amis-LeMonda, Bornstein, & Baumwell, 2001).”
- Big data approaches to decomposing heterogeneity across the autism spectrum (2018, background): “Rather than advocating a ‘one-size-fits-all’ approach to treatment, most recent best practice recommendations specifically highlight the critical need for future research to identify factors that explain heterogeneity in response to treatment, in order to better individualize treatment and intervent”