Mentoring Programs to Affect Delinquency and Associated Outcomes of Youth At-Risk: A Comprehensive Meta-Analytic Review

Patrick H Tolan, David B Henry, Michael S Schoeny, Peter Lovegrove, Emily Nichols, Patrick H Tolan, David B Henry, Michael S Schoeny, Peter Lovegrove, Emily Nichols

Abstract

Objectives: To conduct a meta-analytic review of selective and indicated mentoring interventions for effects for youth at risk on delinquency and key associated outcomes (aggression, drug use, academic functioning). We also undertook the first systematic evaluation of intervention implementation features and organization and tested for effects of theorized key processes of mentor program effects.

Methods: Campbell Collaboration review inclusion criteria and procedures were used to search and evaluate the literature. Criteria included a sample defined as at-risk for delinquency due to individual behavior such as aggression or conduct problems or environmental characteristics such as residence in high-crime community. Studies were required to be random assignment or strong quasi-experimental design. Of 163 identified studies published 1970 - 2011, 46 met criteria for inclusion.

Results: Mean effects sizes were significant and positive for each outcome category (ranging form d =.11 for Academic Achievement to d = .29 for Aggression). Heterogeneity in effect sizes was noted for all four outcomes. Stronger effects resulted when mentor motivation was professional development but not by other implementation features. Significant improvements in effects were found when advocacy and emotional support mentoring processes were emphasized.

Conclusions: This popular approach has significant impact on delinquency and associated outcomes for youth at-risk for delinquency. While evidencing some features may relate to effects, the body of literature is remarkably lacking in details about specific program features and procedures. This persistent state of limited reporting seriously impedes understanding about how mentoring is beneficial and ability to maximize its utility.

Keywords: At-Risk Youth; Delinquency; Mentoring; Prevention.

Figures

Figure 1
Figure 1
reports studies measuring outcomes related to delinquent involvement. Forest plots of meta-analysis of the effects of mentoring interventions for each outcome. The size of the center square shows the weight assigned to the study and the width of the error bars shows the 95% confidence interval for the effect size of each study.
Figure 2
Figure 2
reports effects related to academic achievement. Forest plots of meta-analysis of the effects of mentoring interventions for each outcome. The size of the center square shows the weight assigned to the study and the width of the error bars shows the 95% confidence interval for the effect size of each study.
Figure 3
Figure 3
reports effects on aggression or externalizing behaviors. Forest plots of meta-analysis of the effects of mentoring interventions for each outcome. The size of the center square shows the weight assigned to the study and the width of the error bars shows the 95% confidence interval for the effect size of each study.
Figure 4
Figure 4
reports effects on illegal drug use. Forest plots of meta-analysis of the effects of mentoring interventions for each outcome. The size of the center square shows the weight assigned to the study and the width of the error bars shows the 95% confidence interval for the effect size of each study.
Figure 5
Figure 5
graphs moderation of overall effects by two possible motivations of mentors, civic duty and professional development. Plots of average overall standardized mean difference (SMD) effect sizes and 95% confidence intervals by levels of moderating variables.
Figure 6
Figure 6
graphs the overall effect estimates by the presence or absence of key processes in the mentoring intervention, including emotional support, promotion of modeling or identification with the mentor, and teaching. Plots of average overall standardized mean difference (SMD) effect sizes and 95% confidence intervals by levels of moderating variables.

Source: PubMed

3
Subscribe