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Using Social Network Analysis to Measure Social Inclusion for Individuals with Intellectual and Developmental

Valerie Miller1,2, Kelly Leigers2, Dana Howell2,3

  • 1Rehabilitation, Exercise, and Nutrition Sciences, University of Cincinnati, Cincinnati, OH, USA.

Physical & Occupational Therapy in Pediatrics
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Summary
This summary is machine-generated.

Social network analysis offers a new way to measure social inclusion for individuals with intellectual and developmental disabilities (IDD). This approach can help assess interventions and improve community participation and quality of life for people with IDD.

Keywords:
Developmental disabilitiesdisability inclusionintellectual disabilitiesmeasurementsocial inclusion

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Area of Science:

  • Rehabilitation Science
  • Social Psychology
  • Disability Studies

Background:

  • Social inclusion is crucial for quality of life and health, particularly for individuals with intellectual and developmental disabilities (IDD).
  • Barriers such as limited opportunities, physical obstacles, and lack of valued social roles hinder social inclusion for individuals with IDD.
  • Current methods for measuring social inclusion in this population are limited.

Purpose of the Study:

  • To describe the theory and practical application of social network analysis (SNA) for measuring social inclusion in individuals with IDD.
  • To highlight SNA as a valuable tool for understanding social relationships and social inclusion.
  • To provide a framework for assessing the effectiveness of interventions aimed at increasing social inclusion.

Main Methods:

  • The study proposes the use of social network analysis principles.
  • This involves analyzing the social relationships and interactions of individuals with IDD.
  • Focus is on quantifying participation and social interaction domains of social inclusion.

Main Results:

  • Social network analysis provides a quantifiable method to assess social inclusion.
  • It can identify specific relational patterns and barriers impacting individuals with IDD.
  • This measurement approach can inform and evaluate targeted interventions.

Conclusions:

  • Social network analysis offers a robust methodology for measuring social inclusion in individuals with IDD.
  • Improved measurement can lead to more effective interventions and enhanced community participation.
  • Ultimately, this can improve the quality of life and health outcomes for individuals with IDD.