Matt leads our survey best practices initiatives and is responsible for shaping our survey methodology thought leadership. He has published his work in peer-reviewed publications in the leading survey methodology and public health journals. Matt has extensive hands-on survey experience, as well as experience designing and conducting survey methodology experiments in the lab and analyzing existing survey data and data collection process data. He focuses on questionnaire design and pretesting, web survey usability, measurement of sexual orientation and gender identity, interviewer training and quality control, address-based sampling, and multimode data collection.
Matt has worked on surveys sponsored by the Centers for Disease Control and Prevention, the National Highway and Traffic Safety Administration, the National Institutes of Health, the National Science Foundation (NSF), The California Endowment, the Robert Wood Johnson Foundation, numerous state and local health departments, private sector companies, and several foundations.
Previously, Matt served as lead survey methodologist with the California Health Interview Survey (CHIS). Located at the University of California, Los Angeles (UCLA) Center for Health Policy Research, CHIS is the largest single-state health survey in the United States. Prior to that, he led research on user experience and conducted usability expert reviews of U.S. Census Bureau web sites and web surveys as part of the Census Bureau’s Usability Lab. He also led efforts to develop paradata-based dashboards for use in sample management, cost controls, and responsive and adaptive designs within the Census Bureau’s Field Division and Demographic Surveys Division.
Matt is internationally recognized for his survey methodology expertise, serving as associate principal investigator on the NSF-funded Time-Sharing Experiments in the Social Sciences, and reviewing journal articles for Frontiers in Quantitative Psychology, the Journal of Official Statistics, Public Opinion Quarterly, Survey Research Methods, and the Journal of Survey Statistics and Methodology. He has presented or co-authored research at the London-based Royal Statistical Society, Institute for Employment Research Germany, International Total Survey Error Workshop, the International Workshop on Household Survey Nonresponse, the Joint Statistical Meetings of the American Statistical Association, and the American Association for Public Opinion Research annual conference.
Matt taught graduate-level data collection methods courses in the Joint Program in Survey Methodology at the University of Maryland, and the Graduate Program in Survey Research at the University of Connecticut. He also taught introductory statistics at the University of Maryland, University College and guest lectures on survey methodology in statistics and methods courses in the UCLA Fielding School of Public Health.
Matt trained at the University of Michigan's Program in Survey Methodology. He also holds a Bachelor’s degree in psychology from Central Michigan University, and Master’s degrees in Applied Developmental and Education Psychology from Boston College, and Critical and Creative Thinking from the University of Massachusetts, Boston.