Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults

Autor: Collette Sosnowy, Paul T. Shattuck, Laura Graham Holmes, Elizabeth McGhee Hassrick, Jessica Walton
Rok vydání: 2020
Předmět:
Zdroj: Autism in Adulthood
ISSN: 2573-959X
2573-9581
DOI: 10.1089/aut.2019.0058
Popis: Social isolation is a core challenge associated with autism. Interpersonal relationships and the resources and support embedded in the social networks of autistic young adults could impact key adult outcomes, including quality of life, mental health, employment, and independence. However, little research systematically measures the networks of autistic young adults and network impact on key adult outcomes. This article demonstrates how social network analysis can be adapted for the field of autism to measure young adult networks. We provide examples as to how this approach could be implemented to yield key insights into the amount and quality of interpersonal relationships and the types of resources embedded in the networks of autistic young adults. The network protocol was feasibility tested with autistic adults during the posthigh school transition period (n = 17, 19–27 years). The parents of three of the recruited young adults also successfully completed a complementary network survey, allowing for the inclusion of the parent-reported network using duocentric network analysis, never before applied to parent–child networks. The implementation data collected from the study suggest feasibility of egocentric and duocentric approaches, with several important modifications to adapt the measure for the field of autism. The future potential of social network research for understanding autism in adulthood is discussed.
Lay summary What was the purpose of this study? Many autistic young adults are disconnected from people, communities, and organizations that could provide them with valuable social resources to support their transition to adulthood. This study tests the feasibility of using social network methods to measure the resources that autistic young adults gain from their social connections. Future studies using our social network measure might provide valuable information about possible interventions that could help autistic youth acquire the social resources needed for successful adult outcomes. What did the researchers do? To test the feasibility of our social network measure, 17 autistic adults, between the ages of 19 and 27 years, were recruited to complete a survey about their social connections and the resources provided to them by their social connections. The parents of three of the autistic adults were also surveyed to provide information about the social connections that they relied on to help their autistic young adult to transition successfully. What were the results of the study? All participants successfully completed our survey online. We analyzed the network data to illustrate what types of information the survey produced. We demonstrated how the survey captures different types of support that people gained from their networks. We also used network pictures to show how network measures characterize connections among supporters of autistic young adults. This research successfully lays the groundwork for future studies to test whether the social resources young adults on the autism spectrum receive from their networks impact their adult outcomes. What do these findings add to what is already known? We know very little about the social networks for young adults on the autism spectrum. Also, no studies have used duocentric network analysis to measure the social capital of youth and their parents together. This project produced new useful ways of collecting social network data from young autistic adults that will produce knowledge about how to help young adults on the autism spectrum build networks that will yield the social resources needed to support positive adult outcomes. What are potential weaknesses of this study? The study was only designed to test the feasibility of the social network measure and does not provide generalizable information about how networks might impact outcomes. Also, the social network measure only allowed participants to identify five people, possibly under-reporting the actual size and composition of autistic young adult networks. How will these findings help young adults on the autism spectrum now or in the future? If future research suggests that social network factors help young adults on the autism spectrum to improve outcomes, then network interventions, guided by social network data, can be created.
Databáze: OpenAIRE