Natalya Verbitsky-Savitz

Natalya Verbitsky-Savitz

Senior Researcher
Areas of Expertise
  • Data analysis
  • Quantitative evaluations
  • Randomized controlled trials
  • Experimental and quasi-experimental study design
  • Statistical methodology
  • Hierarchical linear modeling
Topics
  • Literacy, Numeracy, and STEM
  • School Choice and Charters
  • Strengthening and Disseminating Research
  • Education
  • Early Childhood
  • Child Welfare
  • Employment
  • Training and Re-Employment
About Natalya

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.

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