Mathematica conducted the 2006 National Research Council assessment of doctoral research programs, which gathered information about doctoral programs in more than 60 areas of study in American universities.
- Data analysis
- Quantitative evaluations
- Randomized controlled trials
- Experimental and quasi-experimental study design
- Statistical methodology
- Hierarchical linear modeling
- Early Childhood
- Child Welfare
- Literacy and Numeracy
- School Choice and Charters
- Strengthening and Disseminating Research
- Labor: Strengthening and Disseminating Research
- Training and Re-employment
- Child Welfare
- Human Services
Natalya Verbitsky-Savitz has experience in designing, conducting, and reporting on the results of experimental and quasi-experimental policy evaluation studies, as well as observational studies in K–12 education, early childhood and child welfare, labor, and other fields.
Verbitsky-Savitz has worked extensively on designing multisite and cluster-randomized studies and analyzing data in clustered settings. As a technical adviser and reviewer on a contract for the U.S. Department of Education’s Institute of Education Sciences, she provides analytic and technical support by reviewing plans and reports produced by the Regional Educational Laboratories. As a certified reviewer and deputy methodologist for the What Works Clearinghouse, she leads a team that reviews, assesses, and rates the rigor of studies that evaluate the effectiveness of educational programs; she also writes reports summarizing the extent of evidence about the effectiveness of various interventions. She is currently the project director and co-principal investigator of a rigorous, mixed-methods evaluation of multifaceted, scalable, community-based initiatives to combat and mitigate the effects of adverse childhood experiences in five communities in Washington State.
Verbitsky-Savitz, who joined Mathematica in 2007, is a member of the American Statistical Association, Institute of Mathematical Statistics, and Association for Public Policy Analysis and Management. She holds a Ph.D. in statistics from the University of Michigan.
National Research Council Assessment of Research Doctorate Programs
Evaluating Community-Based Family Support Networks to Reduce Adverse Childhood Experiences
Mathematica is conducting a rigorous, mixed-method evaluation of multifaceted, scalable community-based initiatives in five Washington state communities that seek to prevent adverse childhood experiences.
New Study Shows Communities Can Reduce the Effects of Adverse Childhood Experiences
A new study commissioned by the Adverse Childhood Experiences Public-Private Initiative (APPI) of Washington state finds that communities can create effective, local strategies that reduce the long-term social, emotional and physical problems related to abuse, neglect and other Adverse Childhood Experiences...