David Cantor, PhD, has more than 25 years of experience in designing surveys and evaluating the impact of social policy in the areas of health, crime and victimization, social welfare and family leave. Cantor has designed data collection methods for major economic and social surveys and has published on a wide range of survey methodological topics, including nonresponse, panel conditioning, incentives, organizational surveys, and measurement error.
Cantor has served as Associate Chair and Chair of the Standards Committee, American Association for Public Opinion Research (AAPOR) and as the Chair of the American Statistical Association’s Committee of Law and Justice Statistics.
As Co-Principal Investigator, he was part of a team of researchers that won the 2014 Policy Impact Award from AAPOR for work on measuring rape and sexual assault among juveniles in residential placement. He has been a lecturer in statistical methods at both the undergraduate and graduate levels. Cantor is a research professor Joint Program in Survey Methodology at the University of Maryland.
In recognition of his contributions to the field, Cantor has been named a Westat Senior Statistical Fellow and serves on the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.
- PhD, Sociology (with a concentration in Applied Social Statistics), University of Illinois at Urbana–Champaign
- MS, Mathematical Statistics, University of Illinois at Urbana–Champaign
- AB, Sociology, University of Illinois at Urbana–Champaign
Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk
N. Shrine, A.G. Izquierdo, J. Chen, R. Packer, R.J. Hall, A.L. Guyatt, C. Batini, et al.DOILink for: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk
An evaluation of the quality of interviewer and virtual observations and their value for potential nonresponse bias reduction
Survey Research Methods
W. Ren, Tom Krenzke, B.T. West, David CantorDOILink for: An evaluation of the quality of interviewer and virtual observations and their value for potential nonresponse bias reduction
The effects of prompt interventions on web survey response rate and data quality measures
H. Sun, A. Caporaso, David Cantor, Terisa Davis, K. BlakeDOILink for: The effects of prompt interventions on web survey response rate and data quality measures