Too often, programs and policies do not consider the way people actually think and behave. Behavioral science demonstrates that even small hassles create barriers that prevent those in need of services from receiving them. This infographic provides a brief overview of how the Center for Applied Behavioral Science is improving social services by making use of behavioral insights.
The Impacts of Making Pre-K Count and High 5s on Kindergarten Outcomes
This project tested whether high-quality, aligned math instruction, via an evidence-based curriculum in pre-K and innovative math clubs in kindergarten, could improve children’s outcomes. The effect of two years of enriched math translates into closing more than a quarter of the achievement gap between low-income children and their higher-income peers.
The Implementation of High 5s in New York City
Small-group math clubs in kindergarten are an innovative way to align children’s elementary and pre-K math experiences. In a demonstration of the High 5s kindergarten supplement aligned with the principles of an evidence-based, developmentally appropriate pre-K curriculum, attendance and engagement were high, and children participated in hands-on, individualized activities.
Lessons from the BIAS Project
The Behavioral Interventions to Advance Self-Sufficiency (BIAS) project launched an intervention in California to engage families in a welfare-to-work program and another intervention in New York to encourage low-income single adults without dependent children to attend a meeting about an earnings supplement program intended to provide an incentive to work.
The SIMPLER framework was developed for the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project ― the first major effort to apply behavioral insights to human services programs in the United States. SIMPLER summarizes several key behavioral concepts that can guide practitioners interested in using behavioral insights to enhance service delivery.
In September 2017, MDRC released interim findings from the Paycheck Plus demonstration and evaluation of an enhanced Earned Income Tax Credit for low-wage workers without dependent children in New York City. Here are a few answers to questions we’ve received about the results.
To improve outcomes among high-interest borrowers, policymakers need to understand what is driving usage. This second post in MDRC’s Reflections on Methodology series discusses how a data discovery process revealed clusters of borrowers who differed greatly in the kinds of loans and lenders they used and in their loan outcomes.
Interim Findings from the Paycheck Plus Demonstration in New York City
Paycheck Plus offers workers without dependent children an enhanced Earned Income Tax Credit (EITC) worth up to $2,000 per year for three years (four times the current EITC for singles). Results after two years from a random assignment evaluation show that it has increased income and work rates.
Introducing ExCEL P-3, a Study from the Expanding Children’s Early Learning Network
The ExCEL Network, a collaboration of researchers, preschool providers, and local officials, is exploring how benefits of early childhood interventions persist. The ExCEL P-3 project examines whether one preschool program, reinforced by a system-wide alignment of instruction into elementary school, has impacts on a range of skills through third grade.
Boosting the Earned Income Tax Credit for Workers Without Dependent Children
The Earned Income Tax Credit (EITC) promotes work and raises over six million Americans out of poverty each year. Early results from an ongoing demonstration suggest that expanding the EITC for singles, an idea with bipartisan support, is feasible and can increase employment and income while reducing poverty.