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Predictors of family participation in a multiple family group intervention for aggressive middle school students
Author(s) -
Quinn William H.,
Hall Dan B.,
Smith Emilie P.,
Rabiner David
Publication year - 2010
Publication title -
journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.585
H-Index - 86
eISSN - 1520-6629
pISSN - 0090-4392
DOI - 10.1002/jcop.20361
Subject(s) - psychosocial , attendance , psychological intervention , psychology , aggression , clinical psychology , intervention (counseling) , cluster (spacecraft) , association (psychology) , developmental psychology , psychiatry , computer science , economics , psychotherapist , programming language , economic growth
The authors examine predictors of family participation in the G.R.E.A.T. Families Program of the Multisite Violence Prevention Project (MVPP), a four‐site collaboration examining student, teacher, and family interventions for middle school students. Teachers recruited two cohorts of sixth grade students, recognized as being aggressive and influential with their peers, and their families into a voluntary, 15‐session weekly program. Among the 643 families that consented (66%), the mean number of sessions attended was 8.13, with almost half (48.3%) attending 11 or more sessions. Linear mixed models (LMMs) were developed to predict the number of sessions attended based on a cluster of demographic variables and scales designed to measure aggression, problem behaviors, family factors, and other psychosocial constructs. Three of the nine clusters held significance when associated with attendance: level of aggression as rated by the child (negative association), parent–child bond (negative association), and level of child victimization (positive association). Somewhat surprisingly, the variance component due to interventionist turned out to be small and to constitute a nonsignificant component of the overall variability in attendance. Results suggest that family recruitment for multiple family group programs can be achieved with substantial effort and that resources available for recruitment might be differentially applied across families based on predictors of attendance. © 2010 Wiley Periodicals, Inc.