As the first major effort to use a behavioral economics lens to examine human services programs that serve poor and vulnerable families in the United States, the BIAS project demonstrated the value of applying behavioral insights to improve the efficacy of human services programs.
A Primer for Researchers Working with Education Data
Predictive modeling estimates individuals’ probabilities of future outcomes by building and testing a model using data on similar individuals whose outcomes are already known. The method offers benefits for continuous improvement efforts and efficient allocation of resources. This paper explains MDRC’s framework for using predictive modeling in education.
WorkAdvance connects low-income job seekers to high-demand sectors that offer quality jobs with strong career pathways. This infographic describes the program model and its implementation in four locations and presents encouraging evidence of WorkAdvance’s effects on boosting earnings.
Jobs-Plus – a “place-based,” workforce-development model proven to help public housing residents find employment – is about to be replicated across the country. This infographics depicts the program model, its effects on earnings, and the history of its development over the past 20 years.
A Guide for Researchers
Conducting multiple statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) counteract this problem but can substantially change statistical power. This paper presents methods for estimating multiple definitions of power and presents empirical findings on how power is affected by the use of MTPs.
This infographic describes the Improving Contraceptive Options Now (ICON) demonstration, which is assisting primary care health clinics to better serve patients’ family planning needs by offering women a broader range of effective contraceptive options, including long-acting reversible contraception.
This paper explores the use of instrumental variables analysis with a multisite randomized trial to estimate the effect of a mediating variable on an outcome.
Despite the growing popularity of the use of regression discontinuity analysis, there is only a limited amount of accessible information to guide researchers in the implementation of this research design. This paper provides an overview of the approach and, in easy-to-understand language, offers best practices and general guidance for practitioners.
Using an alternative to classical statistics, this paper reanalyzes results from three published studies of interventions to increase employment and reduce welfare dependency. The analysis formally incorporates prior beliefs about the interventions, characterizing the results in terms of the distribution of possible effects, and generally confirms the earlier published findings.
This MDRC research methodology working paper examines the core analytic elements of randomized experiments for social research. Its goal is to provide a compact discussion of the design and analysis of randomized experiments for measuring the impact of social or educational interventions.