Barbara A. Anderson (Presenter) is the Ronald Freedman collegiate professor of sociology and population studies at the University of Michigan, where she also has been director of the Population Studies Center and the Center for Russian and East European Studies. She was a Guggenheim fellow and has been a member of the Institute for Advanced Study and the Center for Advanced Study in the Behavioral Sciences. She has published widely on issues of demographic methods, data quality, and population and development in the former Soviet Union, China, and South Africa. She has consulted with Statistics South Africa, Statistics Estonia, the China National Bureau of Statistics, the Turkish Statistical Institute, and the U.S. Census Bureau. She is currently chair of the U.S. Census Bureau’s Scientific Advisory Committee. She received her bachelor’s in mathematics from the University of Chicago and Ph.D. in sociology from Princeton University.
Mark Asiala (Presenter) is chief of the American Community Survey (ACS) Statistical Design area in the Decennial Statistical Studies Division of the U.S. Census Bureau. He started working at the Census Bureau in 1999 on the Census 2000 Accuracy and Coverage Evaluation. Since 2002, he has worked in the statistical design area of the ACS, particularly in the areas of estimation and disclosure avoidance. He has also been a member of the Census Bureau’s Disclosure Review Board since 2008. He received a bachelor’s in mathematics from the University of Michigan and an M.S. in mathematics from Georgia State University.
Sandra L. Bauman (Presenter) is founder and principal of Bauman Research & Consulting, LLC, a boutique research company. She has designed and managed hundreds of studies for corporate and nonprofit clients in the areas of branding, positioning, corporate image, messaging, strategic marketing, and customer satisfaction and loyalty. She is an expert in quantitative methodologies, including telephone, Internet, and mail surveys. She is also a trained and experienced focus group moderator and facilitator. She is a long-time member of the American Association for Public Opinion Research and currently serves on its executive council. She is an active member of the Marketing Research Association (MRA) and holds MRA’s professional researcher certification at the expert level. She holds a B.A. in journalism from Drake University and an M.S.J. and a Ph.D. in communication research from Northwestern University.
Judy G. Belton (Presenter) is chief of the Group Quarters Data Collection Branch in the American Community Survey Office (ACSO). She has been with the U.S. Census Bureau for 28 years, including 9 in the ACSO. She has worked on several other surveys and the decennial census. She created and leads the Census Bureau’s Group Quarters Working Group, which makes recommendations and/or decisions about group quarter (GQ) data collection methodologies with the goal of improving GQ data collection across the Census Bureau.
Paul Biemer (Presenter) is a distinguished fellow in statistics at RTI International and associate director of survey research and development in the Odum Institute at the University of North Carolina. He has more than 35 years of experience in survey methodology, complex survey design, and data analysis and has written more than 100 publications related to these areas. He is a fellow of the American Statistical Association and the American Association for the Advancement of Science and an elected member of the International Statistical Institute. He holds a number of awards for his contributions to the field of survey methodology and statistics, including the Morris Hansen Award. He holds a B.S. in mathematics and an M.S. and a Ph.D. in statistics from Texas A&M University.
J. Michael Brick (Presenter) is a vice president at Westat, where he is co-director of the Survey Methods Unit and associate director of the statistical staff. He also is a research professor in the Joint Program in Survey Methodology at the University of Maryland. He has more than 40 years of experience in survey research and is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. He holds a B.S. in mathematics from the University of Dayton and an M.S. and a Ph.D. in statistics from the American University.
Michael Davern (Presenter) is an executive vice president of research and director of health care research at NORC at the University of Chicago. In this role he oversees NORC’s three health departments and serves as the department head for health care research. The departments conduct survey research and analytic research, as well as provide technical assistance to clients that include the federal government, foundations, and commercial enterprises. Davern also has expertise in survey research, health data, data linkage, U.S. Census Bureau data, and the use of these data for policy research simulation and evaluation. He holds a B.A. in sociology from St. John’s University, an M.A. in sociology from Colorado State University, and a Ph.D. in sociology from the University of Notre Dame.
Donald A. Dillman (Presenter) is Regents professor in the Department of Sociology at Washington State University (WSU). He also serves as the deputy director for research and development in WSU’s Social and Economic Sciences Research Center. He maintains an active research program on the improvement of survey methods and how information technologies influence rural development. From 1991 to 1995, he served as the senior survey methodologist in the office of the director at the U.S. Census Bureau. He has served as investigator on more than 80 grants and contracts and written 13 books and more than 235 other publications. He is a fellow of the American Association for the Advancement of Science and the American Statistical Association. He served as past president of the American Association for Public Opinion Research and the Rural Sociological Society. He has a B.A. in agronomy, an M.S. in rural sociology, and a Ph.D. in sociology, all from Iowa State University.
David Dolson (Member, Steering Committee) is director of the Social Survey Methods Division at Statistics Canada, where he is responsible for all statistical and survey methods in support of the Census of Population and National Household Survey, as well as the program of postcensal surveys, the Geography Division, and the population estimates program. He also oversees the Questionnaire Design Resource Centre. He directs the development, testing, evaluation, and implementation of statistical and survey methods, using a variety of data collection modes, including supplementing questionnaire data with information obtained from administrative records. He consulted with the U.S. Census Bureau staff on the Reverse Record Check methodology for census coverage measurement and participated in expert workshops on the U.S. census coverage measurement program and coverage improvement options for the 2020 U.S. census. He has bachelor’s and masters of mathematics degrees in statistics from the University of Waterloo.
John L. Eltinge (Member, Steering Committee) is the associate commissioner for survey methods research at the U.S. Bureau of Labor Statistics (BLS), where he served previously as a senior mathematical statistician. Prior to working at BLS, he was an associate professor with tenure in the Department of Statistics at Texas A&M University. His primary research interests include survey sampling, alternative data sources, measurement error, incomplete data, survey optimization, survey cost structures, regression trees for complex survey data, and variance function models. He has served as an associate editor for many journals, including Survey Methodology Journal and the Journal of Official Statistics. In addition, he cochairs the advisory board for the Journal of Survey Statistics and Methodology and is a member of the American Statistical Association (ASA) Committee on Fellows and numerous other professional and federal committees. He is a fellow of the ASA and a member of the Federal Committee on Statistical Methodology. He received a B.S. in mathematics from Vanderbilt University, an M.S. in statistics from Purdue University, and a Ph.D. in statistics from Iowa State University.
Scott Fricker (Presenter) serves as a senior research psychologist in the Office of Survey Methods Research at the Bureau of Labor Statistics (BLS). His recent research has focused on evaluating measurement error and respondent burden in the Consumer Expenditure Survey, experiments on factors affecting different retrieval strategies in recall surveys, and development and testing of design components for the BLS’s new Occupational Requirements Survey. He received a bachelor’s degree in psychology from the University of Richmond, a master’s degree in social psychology from the University of California, Santa Barbara, and a Ph.D. in survey methodology from the Joint Program in Survey Methodology at the University of Maryland.
Linda Gage (Cochair, Steering Committee) retired as senior demographer for the state of California. In this position, her objective was to improve the currency and accuracy of official state and federal demographic data, which were used in policy and funding decisions. She was actively involved in producing and evaluating intercensal population estimates for California and assessing data from the decennial census and the American Community Survey (ACS). She also conducted research commissioned by the U.S. Census Bureau for the ACS 1999-2001 and Census 2000 Comparison Study. She has served for many years on U.S. Department of Commerce and Census Bureau advisory committees and on committees of the Population Association of America. She chaired the three Census Bureau Federal-State steering committees and served as the Governor’s Liaison for Census 2000. She has B.A. and M.A. degrees in sociology, with emphasis in demography, from the University of California, Davis.
Jeffrey Gonzalez (Presenter) is a research mathematical statistician in the Office of Survey Methods Research at the Bureau of Labor Statistics. His primary research interests include split questionnaire designs, adaptive/responsive designs, total survey error, and statistical computing. He has his Ph.D. in survey methodology (statistical science concentration) in the Joint Program in Survey Methodology at the University of Maryland.
Lauren Harris-Kojetin (Presenter) is chief of the Long-Term Care Statistics Branch at the National Center for Health Statistics (NCHS), where she oversees a research program to produce national and state statistical information on the supply, use, and characteristics of providers and users of paid, regulated long-term care services. She has more than 20 years of experience in gerontology, health services research, survey methods, and evaluation, with an emphasis on health care and long-term services and supports for older adults. She is a fellow of the Gerontological Society of America. Before joining NCHS, she directed health services research and survey research projects at LeadingAge and at RTI International. She presents and publishes regularly and serves on several editorial boards. She earned her M.A. and Ph.D. in public policy from Rutgers University.
Steven G. Heeringa (Presenter) is a senior research scientist at the University of Michigan Institute for Social Research (ISR). He is a member of the faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology. He is a fellow of the American Statistical Association and elected member of the International Statistical Institute. He is the author of many publications on statistical design and sampling methods for research in the fields of public health and the social sciences. He has more than 38 years of statistical sampling experience in the development of the Survey Research Center National Sample design, as well as research designs for ISR’s major longitudinal and cross-sectional survey programs. Since 1985, he has collaborated extensively with scientific colleagues in the design and conduct of major studies in aging, psychiatric epidemiology, and physical and mental health. He has a B.S. in biometrics, an M.A. in statistics, and a Ph.D. in biostatistics, all from the University of Michigan.
David Hubble (Member, Steering Committee) is a senior statistician at Westat, where he worked on the National Children’s Survey, National Assessment of Educational Progress, Minnesota Adult Tobacco Survey, and other survey design and technical assistance projects. Previously, he worked for the U.S. Census Bureau on aspects of designing, planning, and conducting census evaluations and large-scale demographic surveys, including the American Community Survey. His research interests cover a wide range of
topics, including survey design, sampling frame creation, sample selection, data collection methods, missing data mitigation, weighting procedures, estimation techniques, variance estimation, methodological investigations, and experimental designs. He has a B.A. and an M.A. in statistics from Boston University.
Frauke Kreuter (Presenter) is professor in the Joint Program in Survey Methodology at the University of Maryland and professor of statistics and methodology at the University of Mannheim, Germany. She has additional affiliations with the Maryland Population Research Center, the Institute for Social Research in Michigan, and the German Institute for Employment Research, where she heads the statistical methods group. Prior positions include the Institute for Statistics at the Ludwig-Maximilians University in Munich and the Department of Statistics at the University of California, Los Angeles. Kreuter is a fellow of the American Statistical Association and a recipient of the Gertrude Cox Award from the Washington Statistical Society. Her research focuses on nonresponse errors, paradata and responsive designs, record linkage and, recently, issues of linkage consent, and generalizability for nonprobability samples. She has more than 100 publications, including eight books and monographs. Kreuter was standards chair of the American Association of Public Opinion Research and has served as associate editor or board member for many journals and organizations. She received her B.A. and M.A. in sociology and her Ph.D. in sociology from the University of Konstanz.
Julia I. Lane (Member, Steering Committee, and Presenter) is a professor of public service at the New York University (NYU) Wagner Graduate School of Public Service, a professor of practice at the NYU Center for Urban Science and Progress, and an NYU provostial fellow for innovation analytics. Previously, she was a senior managing economist and institute fellow at the American Institutes for Research. In this role, she established the Center for the Science of Science and Innovation Policy and cofounded the Institute for Research on Innovation and Science at the University of Michigan. She has held positions at the National Science Foundation, Urban Institute, World Bank, American University, and NORC at the University of Chicago where she conceptualized and established a data enclave. She also initiated and led the creation and permanent establishment of the Longitudinal Employer-Household Dynamics Program at the U.S. Census Bureau. She has published more than 65 articles and authored and edited eight books. She received a B.A. in economics from Massey University, New Zealand, and a master’s degree in statistics and a Ph.D. in economics from the University of Missouri.
Betty Lo (Presenter) serves as vice president of community alliances and consumer engagement at Nielsen. In this role, she works with community leaders, media and entertainment companies, and consumer goods companies to promote Nielsen’s education, philanthropic, and public affairs efforts to the community, as well as civic and special interest groups. She leads the national strategy for Nielsen’s outreach to the Asian American community and partnerships with organizations across the eastern United States. She also leads multicultural advertising efforts. Prior to joining Nielsen, she spent almost 20 years in leading multinational companies, including the Coca-Cola Company and Newell-Rubbermaid. She serves on the national board of the Asian Pacific Islander American (APIA) Chamber of Commerce and Entrepreneurship and the National Association of Asian American Professionals, as well as on the advisory boards for the APIA Scholarship Fund and Organization of Chinese Americans-Asian American Advocates. She has a B.A. in international business from Wesleyan College and an M.B.A. from Emory University.
Nancy A. Mathiowetz (Member, Steering Committee, and Presenter) is professor emerita in the Department of Sociology at the University of Wisconsin–Milwaukee (UWM). Prior to joining the faculty at UWM, she was associate professor in the Joint Program in Survey Methodology at the University of Maryland. During her academic career, she taught graduate courses in survey methodology, questionnaire design, statistics, and data analysis. She has published articles on topics related to assessing the quality of survey data, particularly health survey data. She served as editor of Public Opinion Quarterly from 2008 to 2012. She is an active member of the American Association for Public Opinion Research (AAPOR), serving as president in 2007-2008; previously she held offices as AAPOR treasurer, standards chair, and membership chair. In 2015, she was awarded the AAPOR Award for Exceptionally Distinguished Service, the association’s highest award. She is also an active member of the American Statistical Association and was elected a fellow in 2012. She received a B.S. in sociology from the University of Wisconsin and an M.S. in biostatistics and a Ph.D. in sociology, both from the University of Michigan.
Amy O’Hara (Presenter) is chief of the Center for Administrative Records Research and Applications (CARRA) at the U.S. Census Bureau. Her work in CARRA focuses on integrating administrative data into Census Bureau operations and products to reduce respondent burden and data collection costs and improve data quality. She holds a Ph.D. in economics from the University of Notre Dame.
Colm A. O’Muircheartaigh (Presenter) is professor and former dean of the University of Chicago’s Harris School of Public Policy Studies and a senior fellow at NORC at the University of Chicago. He is an expert in the design and implementation of social investigations. An applied statistician, he has focused his research on the design of complex surveys across a wide range of populations and topics and on fundamental issues of data quality, including the impact of errors in responses to survey questions, cognitive aspects of question wording, and latent variable models for nonresponse. He joined the Harris School faculty in 1998 from the London School of Economics and Political Science, where he was the first director of the Methodology Institute and a faculty member of the Department of Statistics since 1971. A fellow of the Royal Statistical Society and the American Statistical Association and an elected member of the International Statistical Institute, he has served as a consultant to a wide range of public and commercial organizations around the world. He received his undergraduate education at University College Dublin and his Ph.D. in economics from the London School of Economics.
Andy Peytchev (Presenter) is a research assistant professor in the Survey Methodology Program at the Institute for Social Research, University of Michigan. He is the principal investigator on research aimed at reducing respondent burden and improving survey estimates through split questionnaire design, by shifting the burden to the survey organization. He also leads the sampling and weighting on a national telephone survey. Previously, he was a senior survey methodologist in the Program for Research in Survey Methodology at RTI International, where he worked on the design and implementation of large-scale government surveys and on methodological investigations. He has a B.S. in marketing from Concord University, an M.A. in survey research and methodology from the University of Nebraska–Lincoln, and a Ph.D. in survey methodology from the University of Michigan.
Elizabeth Poehler (Presenter) is a mathematical statistician at the U.S. Census Bureau. She is the chief of the American Community Survey Experiments Branch. She has a B.S. in applied statistics from Rochester Institute of Technology and an M.S. in survey methodology from the University of Maryland, College Park.
Andrew Reamer (Presenter) is a research professor at the George Washington Institute of Public Policy. Reamer joined the institute in 2010, after 6 years at the Brookings Institution’s Metropolitan Policy Program and 20 years as a consultant in U.S. regional economic development and
public policy. His research areas of focus include strategic analysis, innovation, regional economic and workforce development, and the federal economic statistics system. Current and recent project sponsors include the Lumina Foundation, Ewing Marion Kauffman Foundation, Lemelson Foundation, U.S. Census Bureau, the Center for Regional Economic Competitiveness, and the Public Forum Institute. He received a B.S. in economics at The Wharton School, University of Pennsylvania, and a Master of City Planning and Ph.D. in economic development and public policy from the Massachusetts Institute of Technology
Joseph J. Salvo (Cochair, Steering Committee, and Presenter) is the director of the Population Division at the New York City Department of City Planning. The division serves as the city’s in-house demographic consultant, providing expertise for applications involving assessments of need, program planning and targeting, and policy formulation. He has served on the U.S. Census Bureau’s Scientific Advisory Committee and on various panels at the National Academy of Sciences on census issues and is a former president of the Association of Public Data Users. He is coeditor of the Encyclopedia of the U.S. Census and coauthor of The Newest New Yorkers: Characteristics of the City’s Foreign-born Population, 2013 Edition. He is a recipient of the Sloan Public Service Award from the Fund for the City of New York and a fellow of the American Statistical Association. He holds an M.A. and a Ph.D. in sociology from Fordham University.
Deborah Stempowski (Presenter) has served as chief of the American Community Survey Office at the U.S. Census Bureau. She began her career at the Census Bureau in 1991 in the Economic Programs Directorate working on the 1992 Economic Census as a data analyst. In 1998, she moved to the Computer-Assisted Survey Research Office and returned to the Economic Directorate in 2005 to lead the effort to implement formal program management practices for the 2007 Economic Census. She also led efforts for company outreach, macro analysis, tabulations, and dissemination operations for the Economic Census. After returning from a detail at the Office of Management and Budget in May 2011, she moved to the director’s office. Since April 2012, she has been back in the Economic Directorate and recently became chief of the newly created Economic Management Division. She has a bachelor’s degree in economics from Pennsylvania State University and a master’s degree in financial management from the University of Maryland, University College.
George Terhanian (Presenter) leads The NPD Group’s global research sciences, panel management, and analytics and modeling functions. Prior to
joining NPD, he was chief strategy and products officer and president, North America, at Toluna. He also spent nearly 14 years at Harris Interactive in leadership positions. He presently serves on the board of directors of the Advertising Research Foundation and the Council of American Survey Research Organizations. He holds a bachelor’s degree in political science from Haverford College, a master’s degree in education from Harvard University, and a Ph.D. from the University of Pennsylvania.
COMMITTEE ON NATIONAL STATISTICS
The Committee on National Statistics was established in 1972 at the National Academies of Sciences, Engineering, and Medicine to improve the statistical methods and information on which public policy decisions are based. The committee carries out studies, workshops, and other activities to foster better measures and fuller understanding of the economy, the environment, public health, crime, education, immigration, poverty, welfare, and other public policy issues. It also evaluates ongoing statistical programs and tracks the statistical policy and coordinating activities of the federal government, serving a unique role at the intersection of statistics and public policy. The committee’s work is supported by a consortium of federal agencies through a National Science Foundation grant.
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