|Benefit-Cost Summary Statistics Per Participant|
|Taxpayers||($1,834)||Benefits minus costs||($9,368)|
|Participants||($3,681)||Benefit to cost ratio||($5.18)|
|Others||($1,508)||Chance the program will produce|
|Indirect||($829)||benefits greater than the costs||16 %|
|Net program cost||($1,515)|
|Benefits minus cost||($9,368)|
|Detailed Monetary Benefit Estimates Per Participant|
|Benefits from changes to:1||Benefits to:|
|Labor market earnings associated with test scores||($1,690)||($3,721)||($1,666)||$0||($7,076)|
|Health care associated with educational attainment||($145)||$40||$158||($72)||($19)|
|Adjustment for deadweight cost of program||$0||$0||$0||($757)||($757)|
|Detailed Annual Cost Estimates Per Participant|
|Annual cost||Year dollars||Summary|
|Program costs||$1,491||2016||Present value of net program costs (in 2017 dollars)||($1,515)|
|Comparison costs||$0||2016||Cost range (+ or -)||40 %|
|Estimated Cumulative Net Benefits Over Time (Non-Discounted Dollars)|
|The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in non-discounted dollars to simplify the “break-even” point from a budgeting perspective. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.|
|Meta-Analysis of Program Effects|
|Outcomes measured||Treatment age||No. of effect sizes||Treatment N||Adjusted effect sizes(ES) and standard errors(SE) used in the benefit - cost analysis||Unadjusted effect size (random effects model)|
|First time ES is estimated||Second time ES is estimated|
|Grade point average^||11||4||1335||-0.028||0.039||11||n/a||n/a||n/a||-0.030||0.431|
|Office discipline referrals^||11||3||172||-0.128||0.111||11||n/a||n/a||n/a||-0.243||0.253|
Akos, P. (2000). Mentoring in the middle: The effectiveness of a school based peer mentoring program. (Dissertation). University of Virginia, VA.
Bernstein, L., Rappaport, C.D., Olsho, L., Hunt, D., & Levin, M. (2009). Impact evaluation of the US Department of Education's Student Mentoring Program. Final report. NCEE 2009-4047. National Center for Education Evaluation and Regional Assistance.
McQuillin, S., Smith, B., & Strait, G. (2011). Randomized evaluation of a single semester transitional mentoring program for first year middle school students: a cautionary result for brief, school-based mentoring programs. Journal of Community Psychology, 39(7), 844-859.
McQuillin, S., Strait, G., Smith, B., & Ingram, A. (2015). Brief instrumental school-based mentoring for first-and second-year middle school students: A randomized evaluation. Journal of Community Psychology, 43(7), 885-899.