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Measuring the Group Quarters Population in the American Community Survey: Interim Report (2010)

Chapter: Appendix B Biographical Sketches of Panel Members and Staff

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Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
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Appendix B
Biographical Sketches of Panel Members and Staff

PAUL R. VOSS (Chair) is a fellow at the Carolina Population Center and senior spatial analyst at the Odum Institute for Research in Social Science at the University of North Carolina. He is also emeritus professor of rural sociology at the University of Wisconsin and was director of the University of Wisconsin Applied Population Laboratory. His research interests are in applied demography, including small-area demographic models of population estimation and projection, as well as human migration, environmental demography, and spatial statistics. He has written extensively on the use and applicability of census and American Community Survey data in small communities. He served on the U.S. Department of Commerce’s Decennial Census Advisory Committee as representative of the Population Association of America as well as the Census Bureau’s advisory committee of professional associations. At the National Research Council, he chaired the Committee on National Statistics Panel on Residence Rules in the Decennial Census and also served on the Panel on Estimates of Poverty for Small Geographic Areas. He has master’s and Ph.D. degrees in sociology (demography) from the University of Michigan.


WILLIAM A.V. CLARK is professor of statistics and geography at the University of California, Los Angeles. His research is focused on demographic change and the nature of the spatial outcomes of population migration flows. He is currently investigating the interaction of class, race, and geography in metropolitan areas. He has published numerous research articles and books. He served on the editorial board of a number of journals, including Population, Space and Place, the Journal of Urban Affairs, Population and Environment, and Urban Geography. He is a member of the National Academy of Sciences and has served on a number of National Research Council (NRC) committees. He is currently on the Subcommittee for NRC Oversight, the Transportation Research Board Executive Committee, the Committee on Equity Implications of Alternative Transportation Finance Mechanisms, and the Geographical Sciences Committee; he also participated in Applications of Social Network Analysis for Building Community Disaster Resilience: A Workshop. He has a Ph.D. in geography from the University of Illinois.


SUSAN COPELLA is director of the Pennsylvania State Data Center at Pennsylvania State University. She is chair of the Federal State Cooperative Program for Population Projections, state representative to the Federal State Cooperative Program for Population Estimates, and member of its group quarters subcommittee. Her experience includes working with the Census Bureau to review population estimates, coordinate the Local Update of Census Addresses

Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×

(LUCA), the Participants Statistical Areas Program, and the 2010 Count Review Program, including a review of housing units and group quarters. Prior to joining the State Data Center, she worked in a number of urban and regional planning agencies. She has a B.A. in urban studies and geography from the University of Pittsburgh.


DAVID DOLSON 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, including the program of postcensal surveys, the Geography Division, and the demographic statistics program. He also oversees the Statistical Consultation Group, the Questionnaire Design Resource Centre, and the Data Analysis 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 a master of mathematics degree in statistics from the University of Waterloo.


RALPH FOLSOM is chief scientist at RTI, with expertise in complex sample design and analysis, small-area estimation, missing data imputation, and survey weight adjustment. Working on the National Survey on Drug Use and Health (NSDUH), which is based on a sample of individuals living in both households and group quarters, he initiated innovative weight adjustment methods based on his logistic response propensity and exponential poststratification models. He has also introduced model-based imputations for missing frequency of use and income data items, and he has been an influential collaborator in the development of the NSDUH current Predictive Mean Neighborhoods imputation methodology. He has recently led RTI’s work in small-area estimation research, including the NSDUH team that developed small-area estimates for drug use, dependency, and treatment or treatment need for selected states and metropolitan areas. At the National Research Council, he served on the Panel to Evaluate the Survey of Income and Program Participation; he is a fellow of the American Statistical Association. He has an M.S. in statistics from Iowa State University and a Ph.D. in biostatistics from the University of North Carolina.


RACHEL HARTER is Senior Fellow at the National Opinion Research Center at the University of Chicago. She developed and evaluated alternative substate estimators using the Current Employment Statistics (CES) survey, which collects data each month on unemployment, hours, and earnings from a sample of nonfarm establishments. This included analyses of the similarities and differences between the CES program and related programs of the Bureau of Labor Statistics, investigated differences in program scope and coverage, empirically compared data series to determine the best auxiliary variable, conducted simulations of various estimators, supervised research on estimators for small domains, and supervised the development and enhancement of a small-domain estimation system for Illinois. Her current projects include work on the Survey of Doctorate Recipients for the National Science Foundation and the Residential Energy Consumption Survey for the Energy Information Agency. She is council of sections representative to the Survey Research Methods Section of the American Statistical Association

Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×

and former program chair for the Survey Research Methods Section of the American Statistical Association. She has M.S. and Ph.D. degrees in statistics from Iowa State University.


STEVEN HEERINGA is a research scientist in the University of Michigan Survey Methodology Program, director of the Statistical and Research Design Group in the Survey Research Center (SRC), and director of the Summer Institute in Survey Research Techniques at the Institute for Social Research. He is on the faculty of the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology and is an adjunct associate professor in the Department of Biostatistics at the University of Michigan. He has over 25 years of statistical sampling experience directing the development of the SRC national sample design, as well as sample designs for SRC's major longitudinal and cross-sectional survey programs. He has contributed as a consulting statistician to a number of international research projects and ongoing data collections and has published on sample design methods and procedures, such as weighting, variance estimation, and the imputation of missing data. He is a fellow of the American Statistical Association and has a master’s in statistics and a Ph.D. in biostatistics from the University of Michigan.


KRISZTINA MARTON (Study Director) is senior program officer with the Committee on National Statistics. She is currently serving as study director for the Panel on Redesigning the Commercial Buildings and Residential Energy Consumption Surveys of the Energy Information Administration and the Workshop on the Future of Federal Household Surveys. Previously, she was a survey researcher at Mathematica Policy Research (MPR), where she conducted methodological research and oversaw data collections for the National Science Foundation, the Department of Health and Human Services, the Agency for Healthcare Research and Quality, the Robert Wood Johnson Foundation, and other clients. Prior to joining MPR, she was a survey director in the Ohio State University Center for Survey Research. She has a Ph.D. in communication with an interdisciplinary specialization in survey research from the Ohio State University.


JOSEPH SALVO is director in the Population Division of the New York City Department of City Planning. His background includes a year at the Census Bureau. He has broad experience in the application of small-area data for policies and programs and the use of census data. A past president of the Association of Public Data Users, he has experience with the Census Bureau’s Master Address File and TIGER geographic database. At the National Research Council, he served on the Panel on the Functionality and Usability of Data from the American Community Survey and the Panel on the Research on Future Census Methods and chaired the Local Update of Census Addresses (LUCA) working group. He is a fellow of the American Statistical Association and an adjunct associate professor in the Urban Affairs and Planning Department at Hunter College of the City University of New York. He has M.A. and Ph.D. degrees in sociology from Fordham University.


RICHARD VALLIANT is research professor in the Joint Program in Survey Methodology at the University of Maryland and the University of Michigan. He was formerly an associate director at Westat and a mathematical statistician with the Bureau of Labor Statistics. His 30 years of applied experience includes survey sampling, estimation theory, and statistical computing for establishment and household surveys. At the National Research Council, he

Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×

served on the Panel to Review Research and Development Statistics at the National Science Foundation. He is a fellow of the American Statistical Association, a member of the Census Advisory Council, and an elected member of the International Statistical Institute. He has served as associate editor of the Journal of the American Statistical Association—Theory and Methods, the Journal of the American Statistical Association—Applications and Case Studies, the Journal of Official Statistics, and Survey Methodology. He has an M.S. in statistics from Cornell University and a Ph.D. in biostatistics from Johns Hopkins University.

Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×
Page 31
Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×
Page 32
Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×
Page 33
Suggested Citation:"Appendix B Biographical Sketches of Panel Members and Staff." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×
Page 34
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Following several years of testing and evaluation, the American Community Survey (ACS) was launched in 2005 as a replacement for the census "long form," used to collect detailed social, economic, and housing data from a sample of the U.S. population as part of the decennial census. During the first year of the ACS implementation, the Census Bureau collected data only from households. In 2006 a sample of group quarters (GQs) -- such as correctional facilities, nursing homes, and college dorms -- was added to more closely mirror the design of the census long-form sample.

The design of the ACS relies on monthly samples that are cumulated to produce multiyear estimates based on 1, 3, and 5 years of data. The data published by the Census Bureau for a geographic area depend on the area's size. The multiyear averaging approach enables the Census Bureau to produce estimates that are intended to be robust enough to release for small areas, such as the smallest governmental units and census block groups. However, the sparseness of the GQ representation in the monthly samples affects the quality of the estimates in many small areas that have large GQ populations relative to the total population. The Census Bureau asked the National Research Council to review and evaluate the statistical methods used for measuring the GQ population.

This book presents recommendations addressing improvements in the sample design, sample allocation, weighting, and estimation procedures to assist the Census Bureau's work in the very near term, while further research is conducted to address the underlying question of the relative importance and costs of the GQ data collection in the context of the overall ACS design.

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