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Journal article
Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents
Journal of clinical child and adolescent psychology, v 49(3), pp 297-321
03 May 2020
PMCID: PMC7269876
PMID: 31799882
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective: This meta-analysis advances a framework to understand correspondence among units of analysis of the social processing construct within Research Domain Criteria (RDoC). Method: As requested for this special issue, eligible studies cited an RDoC-initiative paper or mentioned RDoC in the abstract, title, or keywords were empirical and peer reviewed, and described a correlation or regression analysis (r, beta, or odds ratio) between two different units of analysis in the social processing domain in youth. We examined the frequency (descriptive statistics) and magnitude of correspondence between unit-pairs (random effects models), and predefined moderators (meta-regression). Results: Eight of the twenty-eight possible unit-by-unit pairs were identified, with subjective-by-behavior units being the most common. Of those, only subjective-by-circuit had significant correspondence between units. Moderator analysis revealed that the age and diagnosis of generalized anxiety disorder moderated correspondence between subjective-by-circuit units of analysis, and that a diagnosis of autism spectrum disorder moderated correspondence between subjective-by-gene units of analysis. Younger ages and inclusion of either diagnostic group reduced correspondence. Conclusions: These findings indicate that the RDoC initiative has generated limited research within the social processing domain across units of analysis in youth to date. Moreover, National Institute of Mental Health (NIMH)-funded studies do not appear to be biased toward supporting the RDoC framework. However, the limited number of included studies precludes the generalizability of these findings and underscores the need for further research. Despite this, results suggest that the NIMH model for providing standard batteries of measurement tools may effectively reduce spurious correlations between subjective-by-behavior units of analysis.
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Details
- Title
- Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents
- Creators
- Tessa Clarkson - Temple UniversityErin Kang - Stony Brook UniversityNicole Capriola-Hall - University of AlabamaMatthew D. Lerner - Stony Brook UniversityJohanna Jarcho - Temple UniversityMitchell J. Prinstein - University of North Carolina at Chapel Hill
- Publication Details
- Journal of clinical child and adolescent psychology, v 49(3), pp 297-321
- Publisher
- Taylor & Francis
- Number of pages
- 25
- Grant note
- R01 MH110585 / NIMH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD) Young Investigator Award 381283 / Simons Foundation (SFARI) 24890 / NARSAD Young Investigator Award; NARSAD
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000500448200001
- Scopus ID
- 2-s2.0-85075947860
- Other Identifier
- 991021861852004721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Psychology, Clinical
- Psychology, Developmental