Including Students with Severe Disabilities in Social Network Measures Using Technology

Drawing from their work on identifying personal (egocentric) networks of high school students with and without disabilities across academic tracks, the presenters will (a) provide an overview of social network analyses, (b) explain how technology and other resources have been used to include students with moderate to severe disabilities, and (c) provide a rationale for why including these students in social network measures is critical At the end of this session, participants will be able to: 1. Understand and define whole network and egocentric network analyses and why egocentric techniques may be more relevant to high school ago students. 2. Identify how social network analysis can be utilized in high schools to improve programming (e.g., extra-curricular activities, school social/emotional programming, transition planning) and in research to supplement social-communication interventions. 3. Understand the impact strong social networks have on long-term outcomes for people with disabilities. 4. Identify and describe two to three high-tech and low-tech strategies to modify and implement social network measures. 5. Understand two to three pieces of data collected through social network measures. 6. Summarize two to three ways to calculate and use the social network data collected (e.g., social cognitive mapping, ego network size, ego network density).

Kim Fisher, Karrie Shogren