|Benefit-Cost Summary Statistics Per Participant|
|Taxpayers||($19)||Benefits minus costs||($534)|
|Participants||($102)||Benefit to cost ratio||($0.62)|
|Others||$90||Chance the program will produce|
|Indirect||($174)||benefits greater than the costs||41 %|
|Net program cost||($329)|
|Benefits minus cost||($534)|
|Detailed Monetary Benefit Estimates Per Participant|
|Benefits from changes to:1||Benefits to:|
|K-12 special education||$0||$0||$0||$0||$1|
|Property loss associated with alcohol abuse or dependence||$0||$2||$3||$0||$4|
|Labor market earnings associated with major depression||$0||$0||$0||$0||$0|
|Health care associated with major depression||$2||$1||$2||$1||$5|
|Costs of higher education||($69)||($104)||($32)||($34)||($241)|
|Adjustment for deadweight cost of program||$0||$0||$0||($164)||($164)|
|Detailed Annual Cost Estimates Per Participant|
|Annual cost||Year dollars||Summary|
|Program costs||$164||2013||Present value of net program costs (in 2015 dollars)||($329)|
|Comparison costs||$0||2013||Cost range (+ or -)||10 %|
|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||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|
|Smoking before end of middle school||1||386||-0.240||0.208||13||-0.240||0.208||15||-0.727||0.001|
|Cannabis use before end of middle school||1||386||-0.101||0.208||13||-0.101||0.208||15||-0.305||0.142|
|Alcohol use before end of middle school||1||386||-0.116||0.208||13||-0.116||0.208||15||-0.350||0.092|
|Major depressive disorder||1||52||-0.098||0.468||15||0.000||0.039||16||-0.296||0.527|
|Externalizing behavior symptoms||1||500||-0.004||0.152||17||-0.002||0.079||20||-0.012||0.939|
|Grade point average||1||500||-0.020||0.152||18||-0.020||0.152||18||-0.062||0.685|
|Alcohol use in high school||1||500||-0.017||0.152||18||-0.017||0.152||18||-0.050||0.741|
|Smoking in high school||1||500||-0.048||0.152||14||-0.048||0.152||18||-0.145||0.342|
|Cannabis use in high school||1||500||-0.041||0.152||18||-0.041||0.152||18||-0.126||0.410|
Connell, A.M., & Dishion, T.J. (2008). Reducing depression among at-risk early adolescents: three-year effects of a family-centered intervention embedded within schools. Journal of Family Psychology (division 43), 22(4), 574-85.
Connell, A.M., Dishion, T.J., Yasui, M., & Kavanagh, K. (2007). An adaptive approach to family intervention: linking engagement in family-centered intervention to reductions in adolescent problem behavior. Journal of Consulting Clinical Psychology, 75, 568-579.
Stormshak, E.A., Connell, A., & Dishion, T.J. (2009). An adaptive approach to family-centered intervention in schools: Linking intervention engagement to academic outcomes in middle and high school. Prevention Science, 10(3), 221-235.
Stormshak, E.A., Connell, A.M., Veronneau, M.H., Myers, M.W., Dishion, T.J., Kavanagh, K., & Caruthers, A.S. (2011). An ecological approach to promoting early adolescent mental health and social adaptation: Family-centered intervention in public middle schools. Child Development, 82(1), 209-225.
Van, R.M.J., & Dishion, T.J. (2012). The impact of a family-centered intervention on the ecology of adolescent antisocial behavior: modeling developmental sequelae and trajectories during adolescence. Development and Psychopathology, 24(3), 1139-55.