We design and execute large- and small-scale studies that address today’s pressing policy questions across multiple program areas, research methods, and locations.

Our strengths include designing and conducting studies of program implementation and effectiveness. We also integrate studies of operations and effects to generate actionable findings for decision makers, develop conceptual frameworks and logic models, and design demonstrations for new initiatives.

We help clients develop and implement designs that provide the most credible and actionable information within the time and resources available by addressing the following questions:

  • What are the client's most pressing research questions concerning the program to be evaluated?
  • What is the strongest evaluation design that could be used to answer the questions, minimizing bias and maximizing precision?
  • What are the assumptions underlying the proposed approach, and how can we test them to ensure the findings will be robust and defensible?
  • How do program effects vary across important subgroups of individuals or sites participating in the study? How are other stakeholders affected by the program being evaluated?
  • If the program is found to have the desired effects, how will we identify the primary determinants of success? If the program does not have the desired effects, what barriers were most responsible? 
  • How will the results from impact and implementation analyses be integrated to ensure the client has a clear and consistent set of answers to key questions?
  • What are the possible challenges to the research, and how can we address them effectively?

In addition to the case studies at right, examples of our expertise include the following:

  • Comprehensive Primary Care Initiative. Improving primary care delivery is one of the the most pressing domestic health care needs. This study investigates the effects on Medicare expenditures, service use, and quality of care from providing nearly 500 practices (serving 2.5 million patients) with additional funding, ongoing data on their performance, and opportunities to learn from experts and peers. In addition to conventional analyses, the study uses Bayesian methods to produce more precise estimates and meaningful statements about the probability that the program is achieving its goals. In addition, it uses new methods to find associations between improvements in care delivery and improvements in key program outcomes. 
  • SNAP Food Security. Estimating the effect of the nation's largest nutrition assistance program on food insecurity using household survey data has been challenging, because households that participate in SNAP can differ in systematic ways from households that do not. The study team used a creative design to measure changes in food security, including a cross-sectional analysis and a longitudinal comparison, to offer the most definitive evidence to date on the program.
  • MasterCard Foundation Scholars Program Learning Partnership. Mathematica is designing and implementing a monitoring, evaluation, and learning results framework design and identifying key learning questions for this program that aims to engender social transformation by developing young leaders whose education and human capital skills contribute to the economic growth and social development.