Rockville Institute Affiliates in
Criminal Justice & Violence Prevention

David Cantor, PhD
William J. Sabol, PhD
Andrea J. Sedlak, PhD

David Cantor, PhD, has experience in conducting research in criminology and criminal justice in the areas of criminal victimization, unemployment and crime, drug use and offending, and school-based violence prevention programs. His research includes designing and implementing survey-based evaluations of both adult and juvenile populations in residential facilities, implementing and analyzing surveys of victims, and conducting secondary analysis of existing data to evaluate criminal justice policies.
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William J. Sabol, PhD, has extensive expertise in criminal justice research and policy. He served as Director of DOJ's Bureau of Justice Statistics. As Acting Chief of the National Crime Victimization Survey Unit and Chief of the Corrections Statistics Unit, he managed data collection and statistical operations, developed administrative records, published statistical reports, and coordinated and implemented comprehensive statistical program plans. Previously, he served as Acting Director of DOJ's National Institute of Justice. Before his tenure at DOJ, Dr. Sabol was Assistant Director, Homeland Security and Justice, at GAO. His earlier experience includes work as Associate Director of the Center on Urban Poverty and Social Change at Case Western Reserve University and as a senior research associate at the Urban Institute.
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Andrea J. Sedlak, PhD, is a social psychologist with experience in research on children, youth, and families, with special focus on troubled, vulnerable, and victimized groups. She has designed and conducted studies on child abuse and neglect, adopted children and their families, missing children, runaway and homeless youth, and juvenile offenders in residential placement. Her methodological expertise ranges from large-scale national incidence designs to in-depth interviews on highly sensitive subjects, and she is adept at devising creative methods to maintain confidentiality and anonymity of study data.
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