Journal article
Individualizing and Combining Treatments in Autism Spectrum Disorder: Four Elements for a Theory-Driven Research Agenda
Current directions in psychological science : a journal of the American Psychological Society, v 26(2)
01 Apr 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Although several early intervention programs can be efficacious in improving outcomes of children with autism, treatment response is variable, leading most families to enroll their child in several interventions simultaneously. Because knowledge on the effects of combining different therapies is limited, it is critically important to develop and test predictions on how the "active ingredients" of different interventions interact with child characteristics and with one another when combined. An obstacle to this research agenda is the "pre-paradigmatic" stage of the autism early intervention field, in which many practices are organized around seemingly irreconcilable vocabularies. I argue that a formalization of the explanatory structures informing different treatments-based on the four parameters of logical coherence, falsifiability, parsimony, and consilience-can provide a conceptual lingua franca for the formulation of testable hypotheses on treatment individualization and combination, thus facilitating a more coherent and rational approach to research in this area.
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Details
- Title
- Individualizing and Combining Treatments in Autism Spectrum Disorder: Four Elements for a Theory-Driven Research Agenda
- Creators
- Giacomo Vivanti - Drexel University
- Publication Details
- Current directions in psychological science : a journal of the American Psychological Society, v 26(2)
- Publisher
- Sage
- Number of pages
- 6
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000398388100003
- Scopus ID
- 2-s2.0-85018773580
- Other Identifier
- 991019169542604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Psychology, Multidisciplinary