Washington State Institute for Public Policy
Good Behavior Game
Public Health & Prevention: School-based
Benefit-cost estimates updated May 2017.  Literature review updated April 2012.
The Good Behavior Game is a two-year classroom management strategy designed to improve aggressive/disruptive classroom behavior and prevent later criminality. After teachers establish shared behavior expectations in their classroom, teams of students play the game throughout the day and may receive rewards by minimizing negative behaviors. The program is universal and can be applied to general populations of early elementary school children (1st and 2nd grades).
BENEFIT-COST
META-ANALYSIS
CITATIONS
The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2016). The chance the benefits exceed the costs are derived from a Monte Carlo risk analysis. The details on this, as well as the economic discount rates and other relevant parameters are described in our Technical Documentation.
Benefit-Cost Summary Statistics Per Participant
Benefits to:
Taxpayers $2,760 Benefits minus costs $10,510
Participants $4,297 Benefit to cost ratio $65.47
Others $3,299 Chance the program will produce
Indirect $315 benefits greater than the costs 70 %
Total benefits $10,673
Net program cost ($163)
Benefits minus cost $10,510
1In addition to the outcomes measured in the meta-analysis table, WSIPP measures benefits and costs estimated from other outcomes associated with those reported in the evaluation literature. For example, empirical research demonstrates that high school graduation leads to reduced crime. These associated measures provide a more complete picture of the detailed costs and benefits of the program.

2“Others” includes benefits to people other than taxpayers and participants. Depending on the program, it could include reductions in crime victimization, the economic benefits from a more educated workforce, and the benefits from employer-paid health insurance.

3“Indirect benefits” includes estimates of the net changes in the value of a statistical life and net changes in the deadweight costs of taxation.
Detailed Monetary Benefit Estimates Per Participant
Benefits from changes to:1 Benefits to:
Taxpayers Participants Others2 Indirect3 Total
Crime $236 $0 $518 $123 $878
Labor market earnings associated with high school graduation $1,978 $4,355 $1,994 $0 $8,327
K-12 grade repetition $8 $0 $0 $4 $12
K-12 special education $37 $0 $0 $18 $55
Health care associated with smoking $695 $226 $861 $350 $2,132
Property loss associated with alcohol abuse or dependence $0 $8 $14 $0 $22
Costs of higher education ($194) ($292) ($87) ($98) ($671)
Adjustment for deadweight cost of program $0 $0 $0 ($82) ($82)
Totals $2,760 $4,297 $3,299 $315 $10,673
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $78 2011 Present value of net program costs (in 2016 dollars) ($163)
Comparison costs $0 2011 Cost range (+ or -) 10 %
Costs include teacher training, classroom supplies, district GBG coach training, subcontractor support, and travel costs. The estimate is based on training for 30 teachers and one coach over two years and a cumulative 3,375 students served in GBG classrooms over five years. Information for this cost estimate was provided by Jeanne Poduska, American Institutes for Research.
The figures shown are estimates of the costs to implement programs in Washington. The comparison group costs reflect either no treatment or treatment as usual, depending on how effect sizes were calculated in the meta-analysis. The cost range reported above reflects potential variation or uncertainty in the cost estimate; more detail can be found in our Technical Documentation.
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.

^WSIPP’s benefit-cost model does not monetize this outcome.

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured Primary or secondary participant 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
ES SE Age ES SE Age ES p-value
Alcohol use disorder 1 176 -0.231 0.128 20 -0.231 0.128 30 -0.609 0.001
Antisocial personality disorder^ 1 179 -0.112 0.128 20 -0.112 0.128 25 -0.295 0.032
Anxiety disorder 2 399 -0.192 0.165 20 -0.100 0.201 22 -0.192 0.242
Crime 1 239 -0.041 0.193 20 -0.041 0.193 30 -0.108 0.582
Externalizing behavior symptoms 1 425 -0.437 0.084 12 -0.208 0.098 15 -0.437 0.001
High school graduation 1 175 0.062 0.119 20 0.062 0.119 20 0.162 0.174
Illicit drug use disorder 1 175 -0.115 0.089 20 -0.115 0.089 30 -0.304 0.001
Major depressive disorder 2 399 -0.135 0.124 20 -0.070 0.152 22 -0.178 0.160
Regular smoking 1 175 -0.225 0.090 20 -0.225 0.090 30 -0.593 0.001
Smoking before end of middle school 2 540 -0.088 0.071 12 -0.088 0.071 15 -0.231 0.002
Suicide attempts^ 1 178 -0.074 0.169 20 -0.074 0.169 25 -0.195 0.279
Citations Used in the Meta-Analysis

Kellam, S.G., & Anthony, J.C. (1998). Targeting early antecedents to prevent tobacco smoking: Findings from an epidemiologically based randomized field trial. American Journal of Public Health, 88(10), 1488-1495.

Kellam, S.G., Reid, J., & Balster, R.L. (2008). Effects of a universal classroom behavior program in first and second grades on young adult problem outcomes. Drug and Alcohol Dependence, 95(Suppl. 1), S1-S4.

Petras, H., Kellam, S.G., Poduska, J.M., Brown, C.H., Muthen, B.O., & Ialongo, N.S. (2008). Developmental epidemiological courses leading to antisocial personality disorder and violent and criminal behavior: Effects by young adulthood of a universal preventive intervention in first- and second-grade classrooms. Drug and Alcohol Dependence, 95(Suppl. 1), S45-S59.

Storr, C.L., Ialongo, N.S., Kellam, S.G., & Anthony, J.C. (2002). A randomized controlled trial of two primary school intervention strategies to prevent early onset tobacco smoking. Drug and Alcohol Dependence, 66(1), 51-60.

Vuijk, P., van Lier, P.A.C., Crijnen, A.A.M., & Huizink, A.C. (2007). Testing sex-specific pathways from peer victimization to anxiety and depression in early adolescents through a randomized intervention trial. Journal of Affective Disorders, 100(1-3), 221-226.

Wilcox, H.C., Kellam, S.G., Brown, C.H., Poduska, J.M., Ialongo, N.S., Wang, W., & Anthony, J.C. (2008). The impact of two universal randomized first- and second-grade classroom interventions on young adult suicide ideation and attempts. Drug and Alcohol Dependence, 95(Suppl. 1), S60-S73.

Witvliet, M., van Lier, P.A.C., Cuijpers, P., & Koot, H.M. (2009). Testing links between childhood positive peer relations and externalizing outcomes through a randomized controlled intervention study. Journal of Consulting and Clinical Psychology, 77(5), 905-915.

For more information on the methods
used please see our Technical Documentation.
360.664.9800
institute@wsipp.wa.gov