A single mother with a high school diploma and a knack for bookkeeping applies for a data entry position at a manufacturing company just two miles from her Milwaukee home.
The growing evidence base on disability employment services has given policymakers and administrators an opportunity to either scale up and replicate services that work or to stop supporting those that do not. Mathematica’s Center for Studying Disability Policy will host a live webinar to discuss the...
Micro-credentials offer a potentially attractive pathway for developing marketable skills because they give employers a clear indication of an individual’s specific competencies. Mathematica’s Center for Improving Research Evidence will convene a panel of experts to discuss the rapid growth of micro-credentials...
Although random samples of a population are the gold standard in social science research, convenience samples—or groups of people who are chosen because they are easy to reach—can be a valuable tool for researchers in the initial phases of a research program.
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.
This seventh annual report from the national evaluation of the Money Follows the Person rebalancing demonstration provides information about (1) the program; (2) how it grew and changed since transitions began in 2007; and (3) demonstration outcomes such as cost savings, transition rates, and quality...
The purpose of this article is to explore differences in the socioeconomic, demographic characteristics of older adults in the United States with respect to their use of different types of dental care services.
This report presents findings from a study of the WIA Adult and Dislocated Worker programs’ impacts on employment and earnings.
In 2008, the U.S. Department of Labor’s Employment and Training Administration commissioned Mathematica to conduct a national random assignment evaluation of the Workforce Investment Act Adult and Dislocated Worker programs' effectiveness.
The U.S. Department of Labor is collaborating with Mathematica and ideas42 to apply behavioral science principles to selected programs. Studies suggest that relatively modest changes to program materials, forms, or procedures can generate substantial improvements in program outcomes and performance.
The Office of Disability Employment Policy has a strong interest in advancing policies and programs that promote positive stay-at-work/return-to-work (SAW/RTW) outcomes for workers who experience a chronic illness, disability, or medical condition.
Mathematica is helping to develop a demonstration focused on improving the employment outcomes of state vocational rehabilitation clients who receive only SSDI benefits.
Senior Systems Analyst
Emma Kopa’s specialties include programming, project management, data analysis, and value-added analysis with a focus on education evaluations.Featured Publications
- Does Tracking of Students Bias Value-Added Estimates for Teachers?
- Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental Estimators
- Teacher and Principal Effectiveness
- School Choice and Charters
- Teacher and Principal Preparation and Support
Mathematica Policy Research is dedicated to improving public well-being by bringing the highest standards of quality, objectivity, and excellence to bear on information collection and analysis for our partners and clients. The company has been at the forefront of assessing the effectiveness of policies and programs since 1968. Considered an architect of social policy research, Mathematica conducted the first social policy experiment in the United States, the New Jersey Negative Income Tax Experiment, to test ways of encouraging low-income individuals to work.