Which College Success Interventions Actually Pay for Themselves?

Slaughter and Weiss (2026) examined whether evidence-based community college interventions can “pay for themselves” from the college perspective through added tuition revenue and state funding. They analyzed cost and outcome data from 19 randomized controlled trial interventions and simulated implementation across 857 community colleges in 41 states. The interventions averaged about $2,100 in costs per student but generated only about $200 in new revenue, leaving colleges with a funding gap of roughly $1,900 per student. On average, colleges recouped only 12% of intervention costs, although some low-cost programs, such as EASE, recovered more than 90% of their costs.

Why This Article Was Selected for The Policy Scientist

This article addresses a central problem in higher education policy: institutions are increasingly expected to improve student success outcomes while operating under significant fiscal constraints. That issue has become especially important as community colleges face enrollment volatility, workforce pressures, and growing demands for measurable returns on public investment. Slaughter and Weiss build on a substantial body of postsecondary intervention research, much of which they and their MDRC colleagues have helped develop over the past two decades. The article is timely because policymakers are now placing greater emphasis on outcomes-based funding and evidence-based spending. The dataset is unusually strong, combining randomized controlled trial evidence from 19 interventions with simulations across 857 community colleges in 41 states. The reliance on RCT-derived effect estimates substantially strengthens the analysis relative to conventional multivariate approaches. While implementation effects could vary across jurisdictions, the broad institutional sample improves external validity and makes the findings relevant to many community college systems.

Full Citation and Link to Article

Slaughter, A., & Weiss, M. J. (2026). Do higher education interventions pay for themselves (from the college perspective)? Evidence from 19 interventions and 857 community colleges. Education Finance and Policy. Advance online publication. https://doi.org/10.1162/EDFP.a.458

Central Research Question

Slaughter and Weiss examine whether evidence-based community college interventions “pay for themselves” from the institutional perspective. More specifically, they ask whether the additional tuition revenue and state appropriations generated by improved student outcomes are sufficient to offset the implementation costs of these interventions. The study also investigates how much variation exists across interventions and institutions in the percentage of costs recouped, and which factors explain that variation. The article addresses a central tension in higher education policy: many interventions improve persistence and graduation rates, yet colleges often lack the financial capacity to implement them at scale. The authors frame the issue not as a question of whether interventions improve outcomes, but whether existing funding systems create incentives for colleges to adopt proven strategies.

Previous Literature

The article builds on a large literature evaluating student success interventions in community colleges, particularly randomized controlled trials conducted by MDRC and reviewed through the What Works Clearinghouse. Prior studies have shown that interventions such as enhanced advising, financial support, learning communities, tutoring, and structured enrollment pathways can improve credit accumulation and graduation rates. The authors devote particular attention to CUNY ASAP, one of the most widely cited and rigorously studied interventions in the field, which nearly doubled three-year graduation rates in earlier evaluations.

The study also engages with literature on outcomes-based funding (OBF). Many states have shifted portions of higher education appropriations toward performance metrics such as degree completion, transfer, and credit accumulation. Policymakers often assume these funding systems create incentives for colleges to adopt effective interventions. However, prior empirical research has found only modest effects of OBF on institutional outcomes. Slaughter and Weiss extend this literature by examining whether these funding arrangements generate enough institutional revenue to make interventions financially sustainable.

The article also contributes to research on return-on-investment tools and cost analyses in higher education. Earlier studies generally focused on single interventions or individual state systems. By contrast, this study examines 19 interventions simultaneously across 857 community colleges in 41 states and systems, making it one of the broadest analyses yet conducted on the fiscal sustainability of student success programs.

Data

The analysis relies on MDRC’s Intervention Return on Investment Tool for Community Colleges, which integrates multiple data sources. The intervention component includes cost and impact estimates from 19 randomized controlled trials conducted by MDRC. These interventions vary substantially in duration, intensity, and structure, ranging from low-cost messaging campaigns to comprehensive multi-year support programs such as ASAP. The interventions also differ substantially in effectiveness. Some produced little measurable impact on student outcomes, while others increased average credit accumulation by more than five credits and significantly improved graduation rates.

The institutional component includes data from 857 community colleges across 41 states and systems. The dataset incorporates tuition prices, institutional expenditures, regional price adjustments, inflation measures, and state funding formulas. State appropriations vary dramatically across states, as do the formulas determining how colleges receive funding. Some states allocate funding primarily based on enrollment, while others use outcomes-based metrics tied to completions, transfers, or credit accumulation.

The dataset is unusually strong because it combines experimental impact estimates with detailed institutional finance information. The breadth of the institutional sample also improves the external validity of the findings relative to many prior studies focused on a single intervention or state system.

Methods

The authors simulate implementation of each intervention at every college in the dataset, generating more than 16,000 college-intervention combinations. For each simulation, they estimate both the direct cost of implementing the intervention and the revenue generated through additional tuition payments and state appropriations associated with improved student outcomes.

The statistical foundation of the study is particularly strong because the intervention effect estimates are derived from randomized controlled trials. The authors explicitly avoid relying on conventional multivariate regression approaches to estimate intervention impacts. Instead, the study uses experimentally derived estimates of changes in credit accumulation, enrollment, transfer, and graduation outcomes. This substantially strengthens internal validity because random assignment reduces concerns about selection bias and omitted variable bias.

The authors then apply these experimentally estimated effects to different institutional contexts. Revenue calculations incorporate tuition rates, state funding structures, and estimated marginal instructional costs associated with additional course-taking. They calculate the “percentage of costs recouped,” which represents the share of intervention costs offset by additional institutional revenue.

The article acknowledges limitations associated with simulation methods. The authors assume intervention effects remain constant across institutional settings, even though implementation fidelity, student composition, and local context could alter effectiveness. Nevertheless, the study’s methodological structure allows for a systematic comparison of financial sustainability across institutions operating under very different funding systems.

Findings/Size Effects

The central finding is that most interventions do not come close to paying for themselves from the college perspective. Across all interventions, average implementation costs were approximately $2,100 per student, while average generated revenue was only about $200 per student. As a result, institutions faced an average shortfall of roughly $1,900 per student. Overall, colleges recouped only about 12% of intervention costs under the baseline assumptions.

Even under optimistic assumptions that additional course-taking imposed no marginal instructional costs, interventions generated only about $500 in revenue per student and recouped approximately 34% of implementation costs. These findings indicate that even highly effective interventions generally require substantial external financial support.

The results vary considerably across interventions. Low-cost interventions performed best financially. The EASE summer enrollment intervention, for example, cost only about $73 per student and generated approximately $67 in revenue, allowing institutions to recover roughly 92% of costs. Nearly half of the colleges in the simulation fully recovered implementation costs for EASE.

By contrast, comprehensive interventions such as ASAP and Detroit Promise Path generated stronger academic outcomes but remained financially difficult to sustain. ASAP increased graduation rates substantially and increased average course-taking by more than eight credits, yet colleges still recovered only around 15% to 19% of implementation costs in most simulations because the intervention itself was expensive.

The study also finds substantial variation across institutions. Approximately two-thirds of this variation was attributable to state funding structures rather than institutional characteristics. Colleges operating in states with higher tuition prices, lower instructional costs, or funding systems rewarding enrollment and completion outcomes were able to recoup larger shares of intervention costs. This finding suggests that financial sustainability depends at least as much on state policy architecture as on intervention effectiveness itself.

Conclusion

Slaughter and Weiss conclude that financial sustainability remains a major barrier to scaling evidence-based community college interventions. Existing tuition structures and state appropriations generally do not provide sufficient revenue incentives for institutions to adopt even highly effective programs. The findings therefore complicate the common assumption that colleges can simply implement “what works” once rigorous evidence becomes available.

The article argues that broader policy changes may be necessary if governments want evidence-based interventions implemented at scale. Potential strategies include modifications to state funding formulas, targeted grant programs, and direct public investment in student success initiatives. The authors note that current federal efforts remain modest relative to the scale of the funding gap identified in the analysis.

The study represents an important contribution because it shifts attention from intervention effectiveness alone to the institutional economics of implementation. Many prior studies demonstrated that interventions can improve student outcomes. This article instead demonstrates that effectiveness and financial viability are separate questions. By integrating randomized controlled trial evidence with institutional finance simulations across hundreds of colleges, the authors provide one of the most comprehensive analyses yet conducted on the fiscal constraints shaping higher education reform.