Improving State Capacity for Crime Reporting: Data Quality and Imputation Methods Using State Incident-Based Reporting (IBR) System Data - Participant Bios

Presentors:

Christina R. LaValle, M.S.
Research Specialist
West Virginia Office of Research and Strategic Planning
Justice Center for Evidence Based Practice
Criminal Justice Statistical Analysis Center

Christina LaValle has been a research specialist at the West Virginia Statistical Analysis Center since 2012. She holds a B.S. in mathematics from the University of Minnesota Duluth and M.S. in applied and computational mathematics from Johns Hopkins University. Her work with the SAC involves conducting research and statistical analyses. Most recently, she has been analyzing West Virginia Incident-Based Reporting data to look at data quality and investigate the utility of imputation methods. She has also been assisting a local law enforcement agency plan and evaluate a problem-oriented policing strategy which includes geocoding data to conduct spatial analysis, measuring change in crime over time between geographic areas, developing data collection tools, and designing surveys. Ms. LaValle also worked at the Walter Reed Army Institute of Research in Silver Spring, MD as a statistician and at Montgomery College in Rockville, MD as an instructional associate in a learning resource center and as part-time faculty in the mathematics department.

Moderator:

Stephen Haas, Ph.D.
Director
West Virginia Office of Research and Strategic Planning
Justice Center for Evidence Based Practice
Criminal Justice Statistical Analysis Center

Stephen Haas, Director of the West Virginia SAC. He has served as Principal Investigator and Project Director on several state and federally funded research projects and evaluations and has published numerous research reports and academic papers on various topics in the field of criminology and criminal justice education. His recent work centered on the use of core correctional practices in offender reentry; the deterrent capacity of media awareness campaigns designed to reduce gun crime, gun availability, and violent crime; the statistical accuracy of crime statistics; racial profiling; and the use of the Level of Service Inventory-Revised (LSI-R) in effective reentry case planning. Dr. Haas is a former G. Paul Sylvestre Award recipient and is a nationally recognized consultant and Master Trainer on the Level of Service/Case Management Inventory (LS/CMI). He holds a B.A. in psychology and political science from The Ohio State University, and M.S. and Ph.D. degrees in criminal justice from the University of Cincinnati.