With the recent widespread implementation of alternative payment models (APMs), strong designs are needed more than ever to provide evidence for policy decisions about model expansion, modification, or termination for Center for Medicare and Medicaid Innovation (Innovation Center) initiatives.
Looking at the Centers for Medicare and Medicaid Services Research Designs in a New Context
Putting Behavioral Science in Action to Improve Programs (About Us)
This document describes Mathematica’s work in applying behavioral insights to improve public programs.
Comprehensive Reform for 21st Century Success: New Directions for Community Colleges
This volume examines several contemporary comprehensive reform efforts in community colleges. The reforms all emphasize three common elements: a focus on measurable student success, an intentional and cohesive packaging of programmatic components to be implemented at scale, and a culture of evidence.
Data and Decision Making Same Organization, Different Perceptions; Different Organizations, Different Perceptions
This study examines the perceptions of data-driven decision making (DDDM) activities and culture in organizations driven by a social mission. Analysis of survey information from multiple stakeholders in each of eight social enterprises highlights the wide divergence in views of DDDM.
Understanding Types of Evidence: A Guide for Educators
This guide describes four key types of evidence you are likely to encounter and explains how to tell whether these types of evidence can provide strong support for claims about effectiveness.
Best Practices in Competency-Based Education: Lessons from Three Colleges (In Focus Brief)
Under a Round 2 TAACCCT grant, Sinclair Community College is leading a consortium with Austin Community College and Broward College to implement flexibly paced, competency-based education (CBE) programs in information technology.
On Equal Footing: The Importance of Baseline Equivalence in Measuring Program Effectiveness
How important is baseline equivalence for measuring a program's effectiveness? The Home Visiting Evidence of Effectiveness (HomVEE) team has created this new brief to explain why establishing baseline equivalence is critical for estimating the effect of a program.
What Isn't There Matters: Attrition and Randomized Controlled Trials
What is sample attrition, why does it matter, and how does it factor into study ratings in the Home Visiting Evidence of Effectiveness (HomVEE) review? This new brief from the HomVEE team gives an overview of the issues related to attrition and how it can affect evaluation findings.
Supporting Replication and Scale-Up of Evidence-Based Home Visiting Programs: Assessing the Implementation Knowledge Base
In recent years, researchers, policymakers, and practitioners have expressed a growing interest in the use of interventions with scientific evidence of effectiveness. Reproducing positive effects shown in research, however, requires more than simply adopting an evidence-based program. There is growing...
Smarter, Better, Faster: The Potential for Predictive Analytics and Rapid-Cycle Evaluation to Improve Program Development and Outcomes
Public administrators have always been interested in identifying cost-effective strategies for managing their programs. As government agencies invest in data warehouses and business intelligence capabilities, it becomes feasible to employ analytic techniques used more-commonly in the private sector....