caa a22 4500 606153047 CHVBK 20210128100551.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11121-014-0465-3 doi (NATIONALLICENCE)springer-10.1007/s11121-014-0465-3 Adolescent Peer Networks and the Potential for the Diffusion of Intervention Effects [Elektronische Daten] [Kelly Rulison, Scott Gest, D. Osgood] Many evaluation studies assess the direct effect of an intervention on individuals, but there is an increasing interest in clarifying how interventions can impact larger social settings. One process that can lead to these setting-level effects is diffusion, in which intervention effects spread from participants to non-participants. Diffusion may be particularly important when intervention participation rates are low, as they often are in universal family based prevention programs. We drew on socialization and diffusion theories to articulate how features of peer networks may promote the diffusion of intervention effects. Then, we tested the measurement properties of ten social network analytic (SNA) measures of diffusion potential. Data were from 42 networks (n = 5,784 students) involved in the PROSPER intervention trial. All families of sixth-grade students were invited to participate in a family based substance use prevention program, and 17% of the families attended at least one session. We identified two dimensions of network structure—social integration and location of intervention participants in their peer network—that might promote diffusion. Analyses demonstrated that these SNA measures varied across networks and were distinct from traditional analytic measures that do not require social network analysis (i.e., participation rate, how representative participants are of the broader population). Importantly, several SNA measures and the global network index predicted diffusion over and above the effect of participation rate and representativeness. We conclude by recommending which SNA measures may be the most promising for studying how networks promote the diffusion of intervention effects and lead to setting-level effects. Society for Prevention Research, 2014 Diffusion nationallicence Peer networks nationallicence Family interventions nationallicence Substance use prevention programs nationallicence Adolescence nationallicence Rulison Kelly Department of Public Health Education, University of North Carolina at Greensboro, 27410, Greensboro, NC, USA aut Gest Scott Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA aut Osgood D. Department of Crime, Law, and Justice and Sociology, The Pennsylvania State University, University Park, PA, USA aut Prevention Science Springer US; http://www.springer-ny.com 16/1(2015-01-01), 133-144 1389-4986 16:1<133 2015 16 11121 https://doi.org/10.1007/s11121-014-0465-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11121-014-0465-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rulison Kelly Department of Public Health Education, University of North Carolina at Greensboro, 27410, Greensboro, NC, USA aut NATIONALLICENCE 700 1- Gest Scott Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 700 1- Osgood D. Department of Crime, Law, and Justice and Sociology, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 773 0- Prevention Science Springer US; http://www.springer-ny.com 16/1(2015-01-01), 133-144 1389-4986 16:1<133 2015 16 11121