A complete impact report generated from sample data — executive summary, statistical analysis, regression charts, and recommendations. Every Outcome Radar report follows this format.
The Bridges Youth Mentoring Program served 48 participants aged 14–19 across two cohorts during the 2025–2026 program year. Participants were matched with trained adult mentors for a minimum of 12 months and participated in weekly one-on-one sessions, monthly group workshops, and quarterly community service projects.
Pre- and post-program assessments reveal statistically significant improvement across all three primary outcome domains: self-efficacy (d = 0.72, p < .001), goal-setting behavior (d = 0.58, p = .003), and academic engagement (d = 0.64, p < .001). Effect sizes range from moderate to large, indicating the program produced meaningful, measurable change in participant outcomes beyond what would be expected by chance alone.
Regression analysis suggests that program completion rate and participant age are the strongest predictors of positive outcomes, with older participants and those who completed more sessions showing the greatest improvement. These findings support continued investment in the program model and suggest that efforts to improve session attendance—particularly among younger cohort members—would further strengthen results.
Mean pre-program score: 52.3 (SD = 11.2); mean post-program score: 70.1 (SD = 9.8). Cohen’s d = 0.72, indicating a moderate-to-large effect. The improvement was statistically significant (p < .001, 95% CI [14.2, 21.4]).
Self-reported academic engagement scores rose from a mean of 3.1 to 4.2 on a 5-point scale (d = 0.64, p < .001). 83% of participants reported attending school more regularly after joining the program.
Goal-setting assessment scores improved from 45.8 to 57.2 (d = 0.58, p = .003). Participants who completed 80% or more of mentoring sessions showed 42% greater improvement than those with lower attendance.
Participants aged 16–19 demonstrated a mean self-efficacy improvement of 21.3 points compared to 14.7 points for participants aged 14–15. Regression analysis confirms age as a significant predictor (β = 1.84, p = .012).
Social connectedness scale scores increased from 28.4 to 32.1 (d = 0.31, p = .087). While the trend is positive, the effect did not reach the p < .05 threshold and should be interpreted cautiously.
The participant population was diverse: 42% identified as Black or African American, 29% as Hispanic or Latino, 19% as White, and 10% as multiracial or other. Gender distribution was 54% female, 42% male, and 4% non-binary. The mean age was 16.2 years (SD = 1.8). Improvement trends were consistent across racial and ethnic groups, with no significant disparities detected in outcome gains. Female participants showed slightly higher gains in goal-setting (d = 0.65 vs. 0.51), though this difference was not statistically significant (p = .14).
Three validated instruments were used: the General Self-Efficacy Scale (GSE-10), a custom goal-setting behavior inventory (12 items, Cronbach’s α = 0.87), and the Academic Engagement Scale (AES-5). All instruments showed acceptable internal consistency at both pre- and post-measurement. Wilcoxon signed-rank tests were used due to the non-normal distribution of several outcome variables. Effect sizes were calculated using Cohen’s d with pooled standard deviations. Of 48 enrolled participants, 44 provided complete pre/post data (91.7% retention rate), indicating strong program engagement and minimal attrition bias.
Regression analysis found that program completion rate is the strongest predictor of positive outcomes across all three domains. Participants who completed 80% or more of scheduled mentoring sessions scored significantly higher on all measures. Age was also a significant predictor for self-efficacy and goal-setting, with older participants showing larger improvements—possibly reflecting greater developmental readiness for the mentoring relationship.
| Outcome | Predictor | Coefficient | R² | p-value | Significant |
|---|---|---|---|---|---|
| Self-Efficacy | Completion Rate | +6.42 | 0.38 | <0.001 | Yes |
| Self-Efficacy | Age | +1.84 | 0.14 | 0.012 | Yes |
| Goal-Setting | Completion Rate | +5.17 | 0.29 | 0.002 | Yes |
| Goal-Setting | Age | +1.23 | 0.08 | 0.048 | Yes |
| Academic Engagement | Completion Rate | +3.91 | 0.22 | 0.006 | Yes |
| Social Connectedness | Completion Rate | +1.89 | 0.06 | 0.132 | No |
Based on linear regression of participant-level data. Significance threshold: p < 0.05 (n = 44 per model).
Participants aged 14–15 had significantly lower session completion rates (68% vs. 84% for 16–19). Targeted engagement strategies for younger cohort members could close this gap and improve overall outcomes.
With moderate-to-large effect sizes across all primary outcomes and a 91.7% participant retention rate, the program demonstrates strong fidelity and impact. Expansion to additional sites is supported by the data.
The current social connectedness scale showed improvement trending toward significance. A larger sample size or a more sensitive instrument may be needed to detect meaningful change in this domain.
While the pre/post design used here provides credible evidence of change, adding a waitlist control group or matched comparison group would strengthen causal claims and bolster the case for funders requiring higher standards of evidence.
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