Abstract
ResumenThere are multiple theoretical accounts of how actors address problems of collective action in policy networks, but the two most prominent hypotheses are the risk and belief homophily hypotheses. The risk hypothesis claims that relational structures (e.g., bridging, bonding) depend on the benefits actors receive from uncooperative behavior, while the belief homophily hypothesis claims that relational ties form around shared policy beliefs. This study incorporates the case of autism and special education policy, a subsystem best characterized by Berardo and Scholz's (2010) conceptualization of a low‐risk environment, to test hypotheses about the influence of risk, policy beliefs, and trust on the formation on relational ties in education policy networks. Utilizing data from a 2016 network survey of public and private special education stakeholders in Virginia, results from exponential random graph models provide support for the effects of bridging structures, beliefs related to the medical model of disability, and social trust on strong (collaboration) and weak (information/advice) relational ties in policy networks. The findings reinforce the importance of using policy networks to understand how actors build connections across multiple jurisdictions and policy sectors to mitigate problems of coordination in policy decision making and implementation.
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