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Understanding Process in Group-Based Intervention Delivery: Social Network Analysis and Intra-entity Variability Methods as Windows into the “Black Box”

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Abstract

Although the majority of evidence-based programs are designed for group delivery, group process and its role in participant outcomes have received little empirical attention. Data were collected from 20 groups of participants (94 early adolescents, 120 parents) enrolled in an efficacy trial of a mindfulness-based adaptation of the Strengthening Families Program (MSFP). Following each weekly session, participants reported on their relations to group members. Social network analysis and methods sensitive to intraindividual variability were integrated to examine weekly covariation between group process and participant progress, and to predict post-intervention outcomes from levels and changes in group process. Results demonstrate hypothesized links between network indices of group process and intervention outcomes and highlight the value of this unique analytic approach to studying intervention group process.

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Acknowledgments

The research reported in this article was supported by Grant R01DA026217 from the National Institute on Drug Abuse and through grants from The Pennsylvania State University Children Youth and Families Consortium. The content herein is solely the responsibility of the authors and does not necessarily represent the official views of the NIDA, and such endorsements should not be inferred.

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Correspondence to Lauren Molloy Elreda.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

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Molloy Elreda, L., Coatsworth, J.D., Gest, S.D. et al. Understanding Process in Group-Based Intervention Delivery: Social Network Analysis and Intra-entity Variability Methods as Windows into the “Black Box”. Prev Sci 17, 925–936 (2016). https://doi.org/10.1007/s11121-016-0699-3

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