Proceedings of the Joint Statistical Meetings 2016 Survey Research Methods Section
Chicago, Illinois, July 29 - August 4, 2016

Session: 5 Survey Costs and Survey Design: Trade Offs and Advances - Invited
Chair(s): Stanislav Kolenikov, Abt SRBI

Dual Frame RDD Survey Costs: Landline vs. Cell Phone Comparisons - Paul John Lavrakas, Self-Employed; Thomas M. Guterbock, University of Virginia; Grant Benson, University of Michigan

Survey Costs: The Missing Half of the "Cost-Error" Tradeoff - James Wagner, University of Michigan; Kristen Olson, University of Nebraska-Lincoln

Can Microsimulation Help Us Understand(and Control) Survey Costs? - Alan Karr, RTI

Session: 22 Health Care Panel Surveys: Methodological Challenges Demonstrated Through the Medicare Current Beneficiary Survey and the Medical Expenditure Panel Survey — Topic - Contributed
Kimberly Lochner, Centers for Medicare and Medicaid Services
Chair(s): Debra Reed-Gillette, Centers for Medicare and Medicaid Services

Results of Recent Improvements in the Sampling Design for the MCBS - FWhitney Murphy, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; Lisa B. Mirel, Centers for Medicare and Medicaid Services; Cheryl Sharpless, Centers for Medicare and Medicaid Services

Design and Analytic Considerations for the MEPS Longitudinal Insurance Component - David Kashihara, Agency for Healthcare Research and Quality; Frederick Rohde, Agency for Healthcare Research and Quality; Steve Machlin, Agency for Healthcare Research and Qualityn
Keywords: longitudinal survey, survey design, health insurance

A Demonstration of How to Combine Access to Care and Cost and Use Medicare Current Beneficiary Survey Files for Analysis - Ronald Hazen, NORC at the University of Chicago; Sai Loganathan, NORC at the University of Chicago; Jennifer Hasche, NORC at the University of Chicago; Sara Darga, NORC at the University of Chicago; Lisa B. Mirel, Centers for Medicare and Medicaid Services

Utilizing Linked Administrative and Survey Data for Survey Design and Assessment of Measurement Error: The Medicare Current Beneficiary Survey - Lisa B. Mirel, Centers for Medicare and Medicaid Services

Evaluation of Health Care Use Reporting in the MEPS Household Component Overlapping Panel Design - Emily Mitchell, Agency for Healthcare Research and Quality; Pradip Muhuri, Agency for Healthcare Research and Quality; Steve Machlin, Agency for Healthcare Research and Quality
Keywords: Healthcare utilization, expenditure, survey methods, MEPS, panel survey, reporting

Session: 40 New Approaches to Small Area/Domain Estimation— Contributed
Organizer(s): Daniel Yang, Bureau of Labor Statistics
Chair(s): Xia Li, University of Maryland

Estimating Design Effects in Small Areas and Domains by Aggregation of Domains - Jerry Maples, U.S. Census Bureau
Keywords: design effects, small area, effective sample size, generalized variance functions

Hierarchical Models for AK Estimators in the Current Population Survey - Yuan Li, The George Washington University; Michael Larsen, The George Washington University

Bayesian Rank Estimation Between Radio Stations for Small Demographic Groups - Neung Ha, Nielsen; William Waldron, Nielsen; Ekaterina Sortiriz, Nielsen

Using a Power Prior to Improve County-Level Diabetes Incidence Estimation - Hui Xie, CDC; Deborah Rolka, CDC

Standard Regression Model-Based Ratio-Synthetic Estimators Assuming Unequal or Equal Unit Error Variances and Their Use in Survey Practice - Prabhakar Ghangurde
Keywords: Efficiency, ratio-synthetic, model-based, BLUP, survey, practice

Pooling Information from Multiple Surveys in the Presence of Measurement Error - Mariana Saenz, Georgia Southern University

Session: 46 Modeling, Analysis, and Inference from Surveys Using Bayesian Methods—Invited
Organizer(s): Maria DeYoreo, Duke University
Chair(s): Satkartar Kinney, RTI International

Nonparametric Bayes Modeling with Sample Survey Weights - Tsuyoshi Kunihama, University of Washington; Amy Herring, The University of North Carolina at Chapel Hill; Carolyn Halpern, The University of North Carolina at Chapel Hill; David Dunson, Duke University

The Use of Sampling Weights in Bayesian Hierarchical Models for Small-Area Estimation - Cici Bauer, Brown University

Survey Integration and Estimation of Joint Distributions with Conditionally Representative Data Sources - Maria DeYoreo, Duke University; Bailey Fosdick, Colorado State University

Scalable Bayes Under Informative Sampling - Terrance Savitsky, Bureau of Labor Statistics; Sanvesh Srivastava, University of Iowa

A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values - Trivellore Raghunathan, University of Michigan

Session: 67 The Consumer Expenditure Survey Redesign: Development, Concept Testing, and Evaluation—Topic-Contributed
Organizer(s): Adam Safir, Bureau of Labor Statistics
Chair(s): Minsun Riddles, Westat

Removing Survey Questions Through Aggregation: Assessing the Balance Between Specificity, Accuracy, and Burden Through Cognitive Interviewing - Jennifer Crafts, Westat; Rachel Tesler, Westat; Brandon Kopp, Bureau of Labor Statistics; Erica Yu-Wright, Bureau of Labor Statistics; Laura Erhard, Bureau of Labor Statistics

Testing New Interview Protocols: Lessons Learned About Interviewers, Respondents, and Survey Content - Erica Yu, Bureau of Labor Statistics
Keywords: Interview protocols, cognitive testing, questionnaire design

Demonstrating Feasibility: Results from the Consumer Expenditure Survey Redesign Proof of Concept Test -Laura Erhard, Bureau of Labor Statistics; Lucilla Tan, Bureau of Labor Statistics; Nhien To, Bureau of Labor Statistics; Brett McBride, Bureau of Labor Statistics; Song Park, Bureau of Labor Statistics

Survey Redesign Recommendations from a Survey of Data Collection Field Staff - Adam Safir, Bureau of Labor Statistics; Brandon Kopp, Bureau of Labor Statistics; Lucilla Tan, Bureau of Labor Statistics; Wallace Fraser, U.S. Census Bureau; Tanisha Keller, U.S. Census Bureau

Session: 79 Raking, Post-Stratification, and Calibration Methods—Contributed
Chair(s): Nancy Clusen, Mathematica Policy Research

Calibration on Partly Known Counts in Frequency Tables with Application to Real Data - Michael Sverchkov, Bureau of Labor Statistics; Richard Tiller, Bureau of Labor Statistics
Keywords: calibration, generalized raking, American Community Survey, Current Population Survey

Use of IIS Vaccination Data for Calibration Purposes in the Natinonal Immunization Survey - Xian Tao, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Zhen Zhao, CDC; Sarah Reagan-Steiner, CDC/ NCIRD; David Yankey, CDC/NCIRD

Calibration Estimators Including Fractional Exponents of Auxiliary Variables - Panagiotis Merkouris, Athens University of Economics and Business
Keywords: continuous auxiliary variable, calibration, generalized regression estimator, optimal regression estimator

Applying Post-Stratification Raking Adjustments to Survey Weights Using the High School Longitudinal Survey of 2009 (HSLS:09) - Austin Lasseter, American Institutes for Research; Jonathan Phelan, American Institutes for Research

Higher-Order Calibrated Estimators in Two- Stage Sampling - Veronica Salinas, Texas A&M University-Kingsville; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville

Asymptotics of MDIA Estimates Under Complex Sampling Designs— - Lili Yao, Educational Testing Service; Shelby Haberman, Educational Testing Service; Daniel F. McCaffrey, Educational Testing Service; J.R. Lockwood, Educational Testing Service

The Survey of Juveniles Charged in Adult Criminal Court (SJCACC): A Census, Sample, Model-Based, and Model-Assisted Estimation Hybrid - Martha Rozsi, Westat; Jim Green, Westat; Elizabeth Petraglia, Westat

Session: 101 Statistical Inference with Clustered Data in Survey Sampling—Invited Survey Research Methods
Organizer(s): Jae-kwang Kim, Iowa State University
Chair(s): Zhengyuan Zhu, Iowa State University

Inference with Cluster Data Under Informative Sampling - Jae-kwang Kim, Iowa State University; Seunghwan Park, Seoul National University

Bayesian Analysis for Cluster Sampling - Susanna Makela, Columbia University; Yajuan Si, University of Wisconsin-Madison; Andrew Gelman, Columbia University

H-Likelihood Method for Analyzing Clustered Survey Data - Donghwan Lee, Ewha Womans University; Youngjo Lee, Seoul National University

Discussion: Statistical Inference with Clustered Data in Survey Sampling - Michael P. Cohen
Keywords: Statistical surveys, clusters, two-level models, correlation

Session: 115 Tackling the Challenges of Missing Data in Surveys: Applying Methods and Assessing Uncertainty—Topic-Contributed
Organizer(s): Katherine Jenny Thompson, U.S. Census Bureau
Chair(s): Mary Mulry, U.S. Census Bureau

Estimating the Variance Due to Hot Deck Imputation for Product Value Estimates in the 2017 Economic Census - Katherine Jenny Thompson, U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Roberta Kurec, U.S. Census Bureau

Variance Estimation for Product Value Estimates in the 2017 Economic Census Under the Assumption of Complete Response - Matthew Thompson, U.S. Census Bureau; Katherine Jenny Thompson, U.S. Census Bureau

Using Auxiliary Marginal Information to Deal with Nonignorable Missing Data - Mauricio Sadinle, Duke University/National Institute of Statistical Sciences; Jerome Reiter, Duke University

Semiparametric Fractional Imputation Using Empirical Likelihood in Survey Sampling - Sixia Chen, University of Oklahoma; Jae-kwang Kim, Iowa State University

Session: 120 Improving Efficiency and Maintaining High Data Quality: Plans and Early Outcomes for the 2016 Survey of Consumer Finances—Topic-Contributed
Organizer(s): Catherine C. Haggerty, NORC at the University of Chicago
Chair(s): Steven Pedlow, NORC at the University of Chicago

Using Propensity Scores to Inform Respondent Incentive Escalation - Kate Bachtell, NORC at the University of Chicago; Catherine C. Haggerty, NORC at the University of Chicago; Shannon Nelson, NORC at the University of Chicago; Steven Pedlow, NORC at the University of Chicago; Katherine Archambeau, NORC at the University of Chicago; Kevin Moore, Board of Governors of the Federal Reserve System; Joanne Hsu, Board of Governors of the Federal Reserve System
Keywords: survey data collection, gaining cooperation, incentives

Elusive Respondents: Target Interventions for Challenging Geographic "Hot-Spots" - Catherine C. Haggerty, NORC at the University of Chicago; Kate Bachtell, NORC at the University of Chicago; Katherine Archambeau, NORC at the University of Chicago; Karen Veldman, NORC at the University of Chicago; Shannon Nelson, NORC at the University of Chicago; Ella Kemp, NORC at the University of Chicago
Keywords: hard-to-contact, paradata

Recalcitrant Respondents, Data Quality Measures, and Mitigation Strategies - Shannon Nelson, NORC at the University of Chicago; Catherine C. Haggerty, NORC at the University of Chicago; Katherine Burda, NORC at the University of Chicago; Steven Pedlow, NORC at the University of Chicago; Richard Windle, Board of Governors of the Federal Reserve System

Geographic Distribution and Characteristics of Locked Buildings and Gated Communities: Gaining Access - Katherine Archambeau, NORC at the University of Chicago; Rebecca Curtis, NORC at the University of Chicago; Kate Bachtell, NORC at the University of Chicago; Steven Pedlow, NORC at the University of Chicago; Catherine C. Haggerty, NORC at the University of Chicago; Kevin Moore, Board of Governors of the Federal Reserve System; Jesse Bricker, Board of Governors of the Federal Reserve System

Within Household Gatekeepers: Overcoming Obstacles to Survey Participation - Micah Sjoblom, NORC at the University of Chicago; Karen Veldman, NORC at the University of Chicago; Anna Joyce, NORC at the University of Chicago; Katherine Burda, NORC at the University of Chicago; Catherine C. Haggerty, NORC at the University of Chicago; Ella Kemp, NORC at the University of Chicago

Session: 136 Survey Modes, Including Web Surveys, Phone, and Multimode Surveys—Contributed
Chair(s): Alfredo Navarro, Nielsen

Prevalence and Characteristics of Internet Users: National Health Interview Survey, 2014–2015 - Meena Khare, CDC/NCHS
Keywords: Web surveys, Internet users, Email users, Noncoverage bias

Estimating Mail or Web Survey Eligibility for Undeliverable Addresses: A Latent Class Analysis Approach - Paul Biemer, RTI International; Phil Kott, RTI International; Joe Murphy, RTI International
Keywords: mail surveys, web surveys, occupancy, address-based sampling, latent class analysis<

Evaluating the Effects of Adding Cell Phone Samples to the Traditional Landline Phone Samples on Prevalence Estimates from a Telephone Call-Back Survey - Xiaoting Qin, CDC; Hatice S. Zahran, CDC; Cathy M. Bailey, CDC

Mail Versus Telephone Respondents in a Survey of Minority Populations - Youlian Liao, CDC

What Paradata Can Tell Us About Online Data Reporting by Juvenile Residential Facilities - Suzanne Dorinski, U.S. Census Bureau
Keywords: paradata, respondent burden, online data collection

Session: 164 Innovative Uses of Linked Administrative and Survey Data—Topic-Contributed
Organizer(s): Bruce Meyer, The University of Chicago
Chair(s): Brad Edwards, Westat

What Leads to Errors in Surveys? Evidence from Multiple Government Programs - Pablo Celhay, The University of Chicago; Bruce Meyer, The University of Chicago; Nikolas Mittag

A Method of Correcting for Misreporting Applied to the Food Stamp Program - Nikolas Mittag

Measuring Levels and Trends in Earnings Inequality with Nonresponse, Imputations, and Topcoding - Christopher Bollinger, University of Kentucky

Incomes of the Population 65+: A New Look with Linked Survey-Administrative Data — Adam Bee, U.S. Census Bureau; Joshua W. Mitchell, U.S. Census Bureau

The Wealth of Wealthholders — Minjoon Lee, University of Michigan; John Ameriks, The Vanguard Group; Andrew Caplin, New York University; Matthew Shapiro, University of Michigan; Christopher Tonetti, Stanford University

Session: 179 Combined Data (Surveys + Administrative Data, etc.)—Contributed
Chair(s): Julia Bienias, Nielsen

Using the 2015 Census Test Evaluation Follow- Up to Compare Nonresponse Follow-Up with Administrative Records - Mary Mulry, U.S. Census Bureau; Tom Mule, U.S. Census Bureau; Brian Clark, U.S. Census Bureau
Keywords: 2020 Census, occupancy status

Comparing National Immunization Survey (NIS) and Immunization Information Systems (IIS) Vaccine Coverage Estimates - Elizabeth Zell; Laura Pabst, CDC; Stacie Greby, CDC; Laurie Elam-Evans, CDC

Bayesian Decision Theory for Further Optimizing the Use of Administrative Records in the Census NRFU - Yves Thibaudeau, U.S. Census Bureau; Darcy S. Morris, U.S. Census Bureau
Keywords: Administrative Records, Propensity, Backward Induction, NRFU, Decennial Census

Using 2010 Census Coverage Measurement Results to Better Understand Possible Administrative Records Incorporation in the Decennial Census - Andrew Keller, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau
Keywords: Administrative Records, Census Coverage Measurement, Components of Census Coverage

An Association Study Including Measurement Errors Using Linked NHIS and EPA Modeled Data — Rong Wei, CDC/NCHS; Van Parsons, CDC/NCHS; Jennifer Parker, CDC/ NCHS; Ambarish Vaidyanathan, National Center for Environmental Health; Pavlina Rumcheva, CDC/NCHS

Correcting Biases in Auxiliary Data to Produce Better Estimates — Masahiko Aida, Civis Analytics

Convergence and Stability Properties of Variance- Function Estimators Used in the Integration of Surveys and Alternative Data Sources — John Eltinge, Bureau of Labor Statistics

Session: 197 Contributed Poster Presentations: Survey Research Methods Section—Contributed
Chair(s): Genevera Allen, Rice University

Furil Dioxime: DFT Exploration and Its Experimental Application to the Determination of Palladium by Square Wave Voltammetry — Reem Shah

Bayesian Model-Based Approaches for Raking — Peigen Zhou, University of Wisconsin-Madison; Yajuan Si, University of Wisconsin-Madison

Using Paradata to Inform the Collection of SSN from Survey Respondents — Jennifer Parker, CDC/ NCHS; George Zipf, CDC/NCHS; Tala Fakhouri, CDC/NCHS

Rapid Response Survey of Blood Donors in Support of Public Health - Shannon McEwen, NORC at the University of Chicago; Susan Hinkins, NORC at the University of Chicago; Barbee Whitaker, AABB; Mark Walderhaug, FDA; Michael Stern, NORC at the University of Chicago; Steve Anderson, FDA
Keywords: web survey, rapid response, survey non-response, public health

Assessing the Impact of Respondent Fatigue in the National Crime Victimization Survey — George Couzens, RTI International; Marcus Berzofsky, RTI International

Using Statistical Matching as a Supplement to Exact Record Linkage — Jonas Beste, Institute for Employment Research; Jˆrg Drechsler, Institute for Employment Research; Joseph Sakshaug; Jonathan Gessendorfer, Institute for Employment Research

Misspecified Sampling Weights in Weight-Smoothing Methods - Xia Li, University of Maryland; Eric Slud, U.S. Census Bureau
Keywords: sampling theory, superpopulation models, design-based estimates, model-based estimates

Comparison of MCMC and ADM Methods for Hierarchical Bayesian Estimates in Small-Area Estimation — Ying Han, University of Maryland

Seizing Upper Extremity Function: How Does PROMIS Do? — Man Hung, University of Utah; Maren Wright Voss, University of Utah; Jerry Bounsanga, University of Utah; Andrew Tyser, University of Utah; Fangzhou Liu, University of Massachusetts- Amherst; Charles Saltzman, University of Utah

Session: 218 Advances in Statistical Methods for Dissemination and Analysis of Official Statistics— Invited
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Jonathan R. Bradley, University of Missouri

An Integrated Approach to Providing Access to Confidential Social Science Data — Jerome Reiter, Duke University

The Challenge of Reproducible Science and Privacy Protection for Statistical Agencies —John M. Abowd, U.S. Census Bureau/Cornell University

Spatio-Temporal Change of Support with Application to American Community Survey Multi-Year Period Estimates —Scott H. Holan, University of Missouri; Jonathan R. Bradley University of Missouri; Christopher Wikle, University of Missouri

Session: 236 Multiple Imputation-Multiple Challenges— Topic-Contributed
Organizer(s): Florian Meinfelder, Otto-Friedrich- Universitaet Bamberg
Chair(s): Trivellore Raghunathan, University of Michigan

Benchmarking and Assessment for Multiple Imputation —Gerko Vink, Utrecht University

Interactions and Squares: Don"t Transform, Just Impute! - Philipp Gaffert, GfK SE; Volker Bosch, GfK SE; Florian Meinfelder, Otto- Friedrich-Universitaet Bamberg
Keywords: Multiple Imputation, Local Regression, Just Another Variable, Passive Imputation, Congeniality, Ignorability

Optimal Split Questionnaire Survey Design in the Longitudinal Setting —Paul Michael Imbriano, University of Michigan; Trivellore Raghunathan, University of Michigan

Optimal Missing-by-Design Patterns with Genetic Algorithms —Florian Meinfelder, Otto- Friedrich-Universitaet Bamberg; Sara Bahrami, Leibniz Institute for Educational Trajectories

Session: 255 Advances in Small Area/Domain Estimation— Contributed
Chair(s): Elizabeth Zell

Survey Estimators of Ordered Domain Means — Cristian Oliva, Colorado State University; Mary C. Meyer, Colorado State University; Jean Opsomer, Colorado State University

Structural Equation Mixed Models with an Application to Small-Area Estimation — Jyothsna Sainath, University of Utah

County-Level Crop Estimates Incorporating Auxiliary Sources of Information - Andreea Luisa Erciulescu, National Institute of Statistical Sciences/ USDA/NASS; Nathan B. Cruze, USDA/NASS; Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Auxiliary Data, Benchmarking, Crop Acreage Estimates, Hierarchical Bayes, Small Area Estimation

A Design-Based Approach to Small-Area Estimation Using Semiparametric Generalized Linear Mixed Model — Hongjian Yu, University of California at Los Angeles; Yueyan Wang, University of California at Los Angeles; Pan Wang, University of California at Los Angeles; Jean Opsomer, Colorado State University; Ninez Ponce, University of California at Los Angeles; David Grant, University of California at Los Angeles

Parametric Bootstrap Mean Square Error Estimates for Different Small Areas in the Annual Survey of Public Employment and Payroll - Bac Tran, U.S. Census Bureau
Keywords: governmental units, empirical best prediction, small area estimation, parametric bootstrap

Small-Area Estimation Methods for County-Level Vaccination Coverage Rates Using the NIS — Nadarajasundaram Ganesh, NORC at the University of Chicago; Adrijo Chakraborty, NORC at the University of Chicago; Kennon Copeland, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; Kathleen Santos, NORC at the University of Chicago; Lin Liu, NORC at the University of Chicago; Philip J. Smith, CDC; David Yankey, CDC/NCIRD; Jenny Jeyarajah, CDC; Tammy Santibanez, CDC; Jim Singleton, CDC; Stacie Greby, CDC; Laurie Elam- Evans, CDC; Chalanda Smith, CDC

Multilevel Small-Area Estimation of Health Behaviors: An Extension of Multilevel Regression and Poststratification (MRP) Approach via Bootstrapping — Xingyou Zhang, CDC; Shumei Yun, Missouri Department of Health and Senior Services; Hua Lu, CDC; Yan Wang, CDC; Paul I. Eke, CDC; James B. Holt, CDC; Kurt Greenlund, CDC; Janet B. Croft, CDC

Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey - Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
Keywords: Fay-Herriot model, Bayesian Hierarchical Modeling, Conditional Autoregressive, Dirichlet process, Probabilistic clustering, Variational Bayes

Session: 259 Weighting—Contributed
Chair(s): LiAn Lin, Merck Research Laboratories

A Method of Statistical Disclosure Limitation for Design and Strata-Defining Variables in Surveys — Anna Oganian, CDC/NCHS

Statistical Calibration of Engineering-Based End-Use Electricity Consumption Estimates: A Bayesian Multilevel Model Approach — Hiroaki Minato, Energy Information Administration

A Comparative Analysis of Approaches for Quantifying the Weight of Evidence in Forensic Science — Hariharan Iyer, National Institute of Statistical Sciences; Steven Lund, National Institute of Standards and Technology

The Development of a Variance Estimation Methodology for Large-Scale Dissemination of Quality Indicators for the 2016 Canadian Census Long-Form Sample — Nancy Devin, Statistics Canada; Francois Verret, Statistics Canada

Estimated Covariance Matrices Associated with Calibration — Luca Sartore, National Institute of Statistical Sciences; Kelly Toppin, USDA/NASS; Clifford Spiegelman, Texas A&M University

Defining a Strategy for National Weighting of Data from the Behavioral Risk Factor Surveillance System (BRFSS) — Machell Town, CDC; Ronaldo Iachan, ICF International; Carol Pierannunzi, CDC; Kristie Healey, ICF International; Kurt Greenlund, CDC

Determining the Appropriate Sample Weights for Diabetes Estimates — Xianfen Li, CDC/NCHS

Session: 299 2020 Census: Operational Design and Methods— Topic-Contributed
Organizer(s): Robin A. Pennington, U.S. Census Bureau
Chair(s): Lisa Blumerman, U.S. Census Bureau

The Operational Design of the 2020 Census: Overview of the Current Status - Robin A. Pennington, U.S. Census Bureau
Keywords: innovation, cost savings, integrated design, automation

An Overview of the Master Address File Coverage Study - Evan Boyd, U.S. Census Bureau
Keywords: address canvassing, coverage

Optimizing Self-Response for the 2020 Census — Michael Bentley

Using Administrative Records to Identify Occupied and Vacant Units — Vincent Mule, U.S. Census Bureau; Andrew Keller, U.S. Census Bureau; Darcy S. Morris, U.S. Census Bureau

Field Re-Engineering for the 2020 Census — Tamara Adams, U.S. Census Bureau

Session: 320 Statistical Methods for Complex Survey Data— Contributed Survey Research
Chair(s): Bhatta Dilli, University of South Carolina

Testing for No Effect in Nonparametric Regression with Survey Data — Yan Lu, University of New Mexico

A Propensity Score Approach in a Study of WIC Families — Shankang Qu, PepsiCo; Alissa Wilson, PepsiCo

Approaches for Improved Power with Generalized Estimating Equations in Small-Sample Longitudinal Study Settings — Philip Westgate, University of Kentucky; Woodrow Burchett, University of Kentucky

Model-Assisted Estimation Using Time-to-Event Models — Benjamin Reist, U.S. Census Bureau

Constructing Generalized Variance Functions with Linear Regression Trees — Greg Erkens, Bureau of Labor Statistics

Empirical Likelihood Inference for Regression Parameters When Modeling Hierarchical Complex Survey Data - Melike Oguz Alper, Statistics Norway; Yves G. Berger, University of Southampton
Keywords: Design-based inference, generalised estimating equation, empirical likelihood, two-stage sampling, uniform correlation structure, unequal inclusion probability

Confidentiality Approaches for Real-Time Systems Generating Aggregated Results - Jianzhu Li, Westat; Tom Krenzke, Westat
Keywords: static, dynamic, statistical disclosure control, disclosure risk, data utility

Session: 349 Applications of Regression Trees on Sample Data—Topic-Contributed
Organizer(s): Daniell Toth, Bureau of Labor Statistics
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau

Using Regression Trees to Model Characteristics of Nonresponse and Measurement Error in a Longitudinal Survey — Morgan Earp, Bureau of Labor Statistics; Daniell Toth, Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics

Modeling Survey Data with Regression Trees — Daniell Toth, Bureau of Labor Statistics

Using Machine Learning to Correct for Survey Nonresponse Bias - Curtis Signorino, University of Rochester; Antje Kirchner, University of Nebraska-Lincoln

Matchmaker, Data Scientist, or Both? Using Unsupervised Learning Methods for Matching Nonprobability Samples to Probability Sample — Trent Buskirk, Marketing Systems Group; David Dutwin, SSRS

A Case Study in Machine Learning Approaches to Survey Nonresponse Adjustments - Minsun Riddles, Westat; Bob Fay, Westat; David McGrath, Defense Manpower Data Center; Eric Falk, Defense Manpower Data Center

Session: 364 Nonprobability/Web Sampling and Data Analysis—Contributed
Chair(s): Daniel Oberski, Tilburg University

Inferences from Internet Panel Studies and Comparisons with Probability Samples — Ronaldo Iachan, ICF International; John Boyle, ICF; Richard Harding, ICF

An Empirical Method to Establish Usability of Nonprobability Surveys for Inference - Robert Tortora; Ronaldo Iachan, ICF International
Keywords: Non-probability Survey, Quota Sample, Estimation, Inference, A Priori Decision Rule

The Efficacy of Nonprobability Online Samples — Alan Roshwalb, Ipsos; Zachary Lewis, Ipsos; Robert Petrin, Ipsos Public Affairs
Keywords: Non-probability samples, Calibration methods, Attitude-behavior consistency model.

Design of Sample Surveys That Complement Observational Data to Achieve Population Coverage - Eric Slud, U.S. Census Bureau; Robert Ashmead, U.S. Census Bureau

Explicit vs. Implicit Data: Comparing Responses from a Web Survey to Behavioral Data from Smartphones - Noble Kuriakose, SurveyMonkey

Vector Length as an Indicator of Sample Representativeness - Hee-Choon Shin, CDC/ NCHS

Exploration of Methods for Blending Unconventional Samples with Traditional Probability Samples - Jonathan Gellar, Mathematica Policy Research; Hanzhi Zhou, Mathematica Policy Research; Michael Sinclair, Mathematica Policy Research

Comparing Non-Probability and Probability Sample Estimates - Ronaldo Iachan, PhD, ICF International, Calverton, Maryland; John Boyle, ICF; Eric Miller,ICF
Keywords: Nonprobability sampling, Variance estimation, Weighting, Internet panels

Ratio of Vector Lengths as an Indicator of Sample Representativeness - Hee-Choon Shin, National Center for Health Statistics
Keywords: Sampling, Bias, Efficiency, Representativeness

Session: 398 Recent Developments in Survey Sampling: Session in Honor of Graham Kalton"s 80th Birthday— Invited
Organizer(s): Keith F. Rust, Westat/Joint Program in Survey Methodology
Chair(s): Keith F. Rust, Westat/Joint Program in Survey Methodology

Practical Issues Related to Model-Based Small Area Estimation - J.N.K. Rao, Carleton University

Recent Developments in Survey Design for Rare and Hard-to-Survey Populations - Steven G. Heeringa, University of Michigan
Keywords: Missing data, Hot deck imputation, Replication, Variance estimation

Recent Developments in Fractional Imputation — Wayne Fuller, Iowa State University

Session: 436 Adaptive/Innovative Survey Design and Survey Cost—Contributed
Chair(s): Jason Hsia, CDC

Responsive Design: Side Effect Reduction of Prior Information on Survey Design - Abdellatif Demnati, Retired
Keywords: Abdellatif Demnati, Retired

Adapting Responsive Design Strategies in a Recurring Adult Literacy Assessment — Minsun Riddles, Westat; Tom Krenzke, Westat

Toward an Adaptive Design for the Survey of Doctorate Recipients — Michael Yang, NORC at the University of Chicago; Wan-Yinig Chang, National Science Foundation; Karen Grigorian, NORC at the University of Chicago

Implementing Adaptive Design on a Longitudinal Survey of At-Risk Youth:Empirical Evidence Based on a Deep-Dive Analysis - Hanzhi Zhou, Mathematica Policy Research; Jillian Stein, Mathematica Policy Research
Keywords: Representativeness, paradata, dynamic monitoring, quality indicators, social media, text messaging

Selecting a Sample from a Changing Frame — Eric Grau, Mathematica Policy Research; Elaine Gilby, Social Security Administration; Paul O"Leary, Social Security Administration

New Perspectives on Sampling Rare and Clustered Populations - Emanuela Furfaro, University of Milano-Bicocca
Keywords: low prevalence surveys, adaptive design, poisson sampling design, sequential sampling

Sample Design for Longitudinal Multiphase Samples with Misclassification - Andrea Piesse, Westat; Sharon Lohr, Westat
Keywords:constrained optimization, optimal design

Session: 440 Missing Data, Imputation, and Calibration— Contributed
Chair(s): Donsig Jang, Mathematica Policy Research

Imputation Process Used in the Occupational Requirements Survey — Leland Righter, Bureau of Labor Statistics; Brad Rhein, Bureau of Labor Statistics

An Evaluation of Backwards Imputation for the Annual Survey of Public Employment and Payroll — Junilsa Toribio, U.S. Census Bureau

A Prediction Approach to Missing Data from the Exponential Family — Valbona Bejleri, USDA/ NASS; Darcy Miller, USDA/NASS; Kay Turner, USDA/NASS

Multiple Imputation Methods to Enhance the NHANES-CMS Medicaid Linked Data- Demonstrated by Examining Cotinine as a Biomarker for Second-Hand Smoke Among Children Ages 3-17 — Jennifer Rammon, CDC

Effects of Number of Imputations on Fraction of Missing Information in 2012 NAMCS Physician Workflow Mail Survey Data — Qiyuan Pan, CDC/NCHS; Rong Wei, CDC/NCHS

Do Imputed Earnings Earn Their Keep? Evaluating SIPP Earnings and Nonresponse with Administrative Records — Mark Klee, U.S. Census Bureau; Rebecca Chenevert, U.S. Census Bureau; Kelly Wilkin, U.S. Census Bureau

Introducing a New Calibration Procedure for the Census of Agriculture — Kelly Toppin, USDA/NASS; Luca Sartore, National Institute of Statistical Sciences; Clifford Spiegelman, Texas A&M University

Session: 470 Design and Analysis Issues with Modern Population Telephone Surveys—Invited
Organizer(s): Bo Lu, The Ohio State University
Chair(s): Rebecca Andridge, The Ohio State University

Estimating Interviewer Effects in the Absence of Interpenetration — Michael Elliott, University of Michigan; Brady West, University of Michigan

Causal Inference with Unequal Sampling Weights: Investigating Policy Effect Using Population Health Surveys — Bo Lu, The Ohio State University; Robert Ashmead, U.S. Census Bureau

Methods for Allocating and Targeting Small Areas in a Large Dual-Frame Telephone Survey — Marcus Berzofsky, RTI International

Session: 483 GSS/SSS/SRMS Student Paper Award Presentations—Topic-Contributed
Organizer(s): Tom Krenzke, Westat
Chair(s): Michael Hawes, U.S. Department of Education

General and Specific Utility Measures for Synthetic Data — Joshua Snoke, Penn State University; Beata Nowok, University of Edinburgh; Gillian Raab, University of Edinburgh; Aleksandra Slavkovic, Penn State University; Chris Dibben, University of Edinburgh

Analyzing Heterogeneous Causal Mediation Effects in Multi-Site Trials - Xu Qin, The University of Chicago; Guanglei Hong, The University of Chicago
Keywords:Direct and indirect effects, method of moments, multilevel modeling, ratio-of-mediator-probability weighting, two-step estimation, multisite randomized trials

Approximate Median Regression for Complex Survey Data — Raphael Fraser, Medical College of Wisconsin

Response Propensity and Motivated Under- Reporting: Do Persons Likely to Respond Give Better Answers to Filter and Eligibility Questions? — Jessica Wengrzik, GESIS; Stephanie Eckman, RTI International; Ruben Bach, Institute for Employment Research

Modeling Preferential Recruitment for Respondent-Driven Sampling — Katherine McLaughlin, University of California at Los Angeles

Session: 492 SPEED: Advances in Survey Research Methodology—Contributed
Chair(s): Kennon Copeland, NORC at the University of Chicago

Pilot Surveys of Shore Fishing on Oahu, Hawaii - Hongguang Ma, Pacific Islands Fisheries Science Center; Tom Ogawa, Hawaii Department of Land and Natural Resources; Jay Breidt, Colorado State University; Virginia Lesser, Oregon State University; Jean Opsomer, Colorado State University; Tom Sminkey, NOAA Fisheries; Christopher Hawkins, Western Pacific Regional Fishery Management Council; April Bagwill, NOAA Fisheries/ECS Federal; David Van Voorhees, NOAA Fisheries
Keywords:Hawaii Marine Recreational Fishing Survey, roving creel survey, aerial fishing survey, shore fishing gear, fishing effort, recreational fish catch

How Can a Clothing Price Index Be Enhanced? Statistics Canada"s Recent Experience — Krista MacIsaac, Statistics Canada; Jean-SÈbastien ProvenÁal, Statistics Canada

Accuracy in Effect Size Estimation for IID Observations — Francis Bilson Darku, The University of Texas at Dallas; Ken Kelly, Mendoza College of Business; Bhargab Chattopadhay, The University of Texas at Dallas

Spatio-Temporal Balanced Sampling Design for Longitudinal Area Survey — Zhonglei Wang, Iowa State University; Zhengyuan Zhu, Iowa State University

Sampling with Minimal Strata Sample Size Requirements - Stanislav Kolenikov, Abt SRBI; Igor Griva, George Mason University
Keywords:stratification, sampling, sample size, nonlinear optimization, statistical computing, survey cost

Predicting and Preventing Break-Offs in Web Surveys — Felicitas Mittereder, University of Michigan

Assessing the Reliability of Conversational Interviewing - William Mockovak, Bureau of Labor Statistics
Keywords:Conversational interviewing, interviewer reliability, interviewer consistency, calibration training, interviewer performance

Using Instrumental Variables for Bias Correction of Estimates of General Population Parameters from Nonrandomized Web Panel Data - Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/ NCHS; Pavlina Rumcheva, CDC/NCHS
Keywords:web panel, propensity score, instrumental variable, informative non-response, generalized calibration, two-phase sampling

Calibration of Design Weights Using a Power Transformation — Sarjinder Singh, Texas A&M University-Kingsville; Veronica Salinas, Texas A&M University-Kingsville; Stephen Sedory, Texas A&M University-Kingsville

Calibration Weighting for Nonresponse with Proxy Frame Information - Phil Kott, RTI International
Keywords: Selection bias, Shadow variable, Model variable, WTADJX, Weight-adjustment function

Alternate Methods for Constructing BRR Weights with National Health and Nutrition Examination Survey (NHANES) Single-Year Samples — Te- Ching Chen, CDC/NCHS; Jennifer Parker, CDC/ NCHS

Generating Correlated Synthetic Binary Indicators of Radio Listening Behavior for Long-Term Projections — Yanna Yan, University of Michigan; Michael Elliott, University of Michigan; Brady West, University of Michigan; William Waldron, Nielsen

Access and Explore NCES Survey and Administrative Data Through Self-Guided Online Training Modules — Andrew A. White, National Center for Education Statistics

A Composite Likelihood Approach in Testing for Hardy Weinberg Equilibrium Using Family-Based Genetic Survey Data — Lingxiao Wang, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Yan Li, Joint Program in Survey Methodology

Extension of the Peters-Belson Method to Estimate Health Disparities Among Multiple Groups Using Logistic Regression with Survey Data — Yan Li, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Pengyu Huang, Fors Marsh Group; Joseph L. Gastwirth, The George Washington University

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling — Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University

A Comparison Between Standard Regression and Multilevel Modeling Techniques to Analyze Complex Survey Data Based on the Monte Carlo Simulation Study — Alomgir Hossain, University of Ottawa Heart Institute; George Wells, University of Ottawa Heart Institute; Punam Pahwa, University of Saskatchewan

Ranking Question Design and Data Analysis — Chia-Ling Kuo, University of Connecticut Health Center; Jessica Hoag, University of Connecticut Health Center

Session: 502 Innovative Statistical Methods for Complex Survey Data—Contributed
Chair(s): Christine Wells, University of California at Los Angeles

Are Utility Subsidies Accurately Predicting Assisted Households" Actual Utility Expenditures? A Methodological Examination - Davia Spado, ICF International; Lee Harding, ICF International; Ronaldo Iachan, ICF International
Keywords: mean square error, jackknife replication

Statistical Inference Based on Judgment Post- Stratifed Samples in Finite Population — Omer Ozturk, The Ohio State University

A Bayesian Hierarchical Model for Combining Several Crop Yield Indications - Nathan B. Cruze, USDA/NASS
Keywords: sample surveys, auxiliary information, model-based estimation, agricultural statistics, official statistics

Producing Labor Statistics by Detailed Geography and Occupation: Experiences from the New Canadian Job Vacancy and Wage Survey - Etienne Rassart, Statistics Canada; Zdenek Patak, Statistics Canada
Keywords: labour statistics, business survey methodology, respondent burden, job vacancy and wage by occupation, sequential Poisson sampling, Pareto sampling

Inference from Complex Survey-Embedded Field Experiments - Robert Ashmead, U.S. Census Bureau; Eric Slud, U.S. Census Bureau
Keywords: survey sampling, randomized experiments, design-based estimation, randomization-based estimation

Model-Based Evaluation of Local Alcohol Prevention Programs for Under-Age Drinking - Richard Harding, ICF; Ronaldo Iachan, ICF International; Shelley Osborn, ICF
Keywords: multivariate models

Alternative Variance Component Analyses for a Three-Stage Sample Design — Daniel Guzman, University of Michigan; Sunghee Lee, University of Michigan; Richard Valliant, Joint Program in Survey Methodology; Paul Burton, University of Michigan; Frost Hubbard, University of Michigan

Session: 509 Social Networks as the Unit of Observation— Invited
Organizer(s): Tracy Sweet, University of Maryland
Chair(s): Brian W. Junker, Carnegie Mellon University

Using Feature Vectors to Cluster Social Networks — Tracy Sweet, University of Maryland; David Sungjun Choi, Carnegie Mellon University; Gabrielle Flynt, Bucknell University

Modeling the Effects of Network Attributes on Subgroup Integration — Qiwen Zheng, University of Maryland

Longitudinal Latent Space Network Model with VAR Evolution — Samrachana Adhikari, Carnegie Mellon University; Brian W. Junker, Carnegie Mellon University

Causal Mediation Analysis of Social Networks — Adam Chaim Sales, The University of Texas at Austin; Tracy Sweet, University of Maryland; Brian W. Junker, Carnegie Mellon University

Session: 524 Recent Advances and Applications of Spatial and Spatio-Temporal Models for Official Statistics—Topic-Contributed
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): James A. Livsey, U.S. Census Bureau

Spatiotemporal Modeling with Applications to Stroke Mortality and Data Privacy — Harrison Quick, CDC

Predicting Coverage Error on the Master Address File Using Spatial Modeling Methods at the Block Level - Krista Heim, U.S. Census Bureau; Andrew Raim, U.S. Census Bureau
Keywords: Listing, Coverage Error Models, Address Canvassing, census, spatial statistics, Address Based Sampling

Particle Swarm Optimization-Assisted Metropolis Hastings Algorithms — Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri

Small-Area Estimation for High-Dimensional Non-Gaussian Dependent Data — Jonathan R. Bradley, University of Missouri; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri

A Multivariate Spatio-Temporal Model for U.S. Migration — Trevor Oswald, University of Missouri; Christopher Wikle, University of Missouri

Session: 527 Innovations in Disclosure Avoidance at the U.S. Census Bureau—Topic-Contributed
Organizer(s): Aref Dajani, U.S. Census Bureau
Chair(s): Aref Dajani, U.S. Census Bureau

Controlling Identification Disclosure Risk in Microdata Release Through Unbiased Post- Randomization — Cheng Zhang; Tapan Kumar Nayak, The George Washington University; Jiashen You, Department of Transportation

Data Synthesis and Perturbation for the American Community Survey at the U.S. Census Bureau — Amy Lauger, U.S. Census Bureau; Michael Freiman, U.S. Census Bureau; Jerome Reiter, Duke University

Estimating Regression Parameters from a Sensitive Variable with Noise Multiplication — Marlow Lemons, U.S. Census Bureau; Bimal Sinha, University of Maryland Baltimore County; Aref Dajani, U.S. Census Bureau

Challenges Facing the Disclosure Review Board at Census — William Wisniewski, U.S. Census Bureau; Holly Newman, U.S. Census Bureau

Session: 533 Modeling Confounders via Smoothing and Regularization Methods? The Case of Age-Period- Cohort and Beyond—Topic-Contributed
Organizer(s): Wenjiang Fu, University of Houston
Chair(s): Wenjiang Fu, University of Houston

A Bayesian Approach to Smoothed Lexis Diagram with Applications to Breast Cancer — I-Shou Chang, National Health Research Institutes

The Selection of the Constraint for Smoothing Cohort Model — Shujiao Huang, University of Houston; Wenjiang Fu, University of Houston

Parameter Constraints and Impact on Parameter Estimation in ANOVA and Age-Period-Cohort Models — Kuikui Gao, University of Houston; Shujiao Huang, University of Houston; Wenjiang Fu, University of Houston

Resolving the Identifiability Problem with the Lasso Regularization Method in Age-Period- Cohort Analysis — Beverly Fu; Wenjiang Fu, University of Houston

Bias Correction in Modeling Confounded Age, Period, and Cohort Effects — Martina Fu, Stanford University

Session: 549 Combined Data and Data Linkage (Surveys + Administrative Data, Geospatial Data, etc.)— Contributed
Chair(s):Barry Graubard, National Cancer Institute

Linking Federal Administrative Data to General Population Survey Samples — Joseph Sakshaug; Manfred Antoni, Institute for Employment Research; Reinhard Sauckel, Institute for Employment Research

Quality and Analysis of Sets of Files — William Winkler

Modeling Similar Nonmatches in Record Linkage with Mixture Models — Michael Larsen, The George Washington University

Linked Designs of the MEPS Medical Provider and Organization Surveys - Marc Zodet, Agency for Healthcare Research and Quality; Sadeq Chowdhury, Agency for Healthcare Research and Quality; Steve Machlin, Agency for Healthcare Research and Quality
Keywords: Medical Expenditure Panel Survey (MEPS), survey design, weighting, establishment survey

Multiple Imputation for Survey Integration Under Informative Sampling — Seho Park, Iowa State University; Jae-kwang Kim, Iowa State University

Evaluating Record Linkage Software for Agricultural Surveys - Michael E. Bellow, USDA/NASS; Kara Daniel, USDA/NASS; Mark Gorsak, USDA/NASS; Andreea Luisa Erciulescu, National Institute of Statistical Sciences/USDA/NASS
Keywords: Record Linkage, List Sampling Frame, Duplication, AutoMatch/AutoStan, G-Link

Session: 561 SPEED: Advances in Survey Research Methodology, Part 2A—Contributed
Chair(s): Genevera Allen, Rice University

Pilot Surveys of Shore Fishing on Oahu, Hawaii — Hongguang Ma, Pacific Islands Fisheries Science Center; Tom Ogawa, Hawaii Department of Land and Natural Resources; Jay Breidt, Colorado State University; Virginia Lesser, Oregon State University; Jean Opsomer, Colorado State University; Tom Sminkey, NOAA Fisheries; Christopher Hawkins, Western Pacific Regional Fishery Management Council; April Bagwill, NOAA Fisheries/ECS Federal; David Van Voorhees, NOAA Fisheries

How Can a Clothing Price Index Be Enhanced? Statistics Canada"s Recent Experience - Krista MacIsaac, Statistics Canada; Jean-SÈbastien ProvenÁal, Statistics Canada
Keywords: Price Index, Coverage, Quality Adjustment

Accuracy in Effect Size Estimation for IID Observations — Francis Bilson Darku, The University of Texas at Dallas; Ken Kelly, Mendoza College of Business; Bhargab Chattopadhay, The University of Texas at Dallas

Spatio-Temporal Balanced Sampling Design for Longitudinal Area Survey — Zhonglei Wang, Iowa State University; Zhengyuan Zhu, Iowa State University

Sampling with Minimal Strata Sample Size Requirements — Stanislav Kolenikov, Abt SRBI; Igor Griva, George Mason University

Predicting and Preventing Break-Offs in Web Surveys — Felicitas Mittereder, University of Michigan

Assessing the Reliability of Conversational Interviewing — William Mockovak, Bureau of Labor Statistics

Using Instrumental Variables for Bias Correction of Estimates of General Population Parameters from Nonrandomized Web Panel Data — Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/ NCHS; Pavlina Rumcheva, CDC/NCHS

Calibration of Design Weights Using a Power Transformation — Sarjinder Singh, Texas A&M University-Kingsville; Veronica Salinas, Texas A&M University-Kingsville; Stephen Sedory, Texas A&M University-Kingsville

Calibration Weighting for Nonresponse with Proxy Frame Information — Phil Kott, RTI International

Session: 564 SPEED: Advances in Survey Research Methodology, Part 2B—Contributed
Chair(s): Genevera Allen, Rice University

Alternate Methods for Constructing BRR Weights with National Health and Nutrition Examination Survey (NHANES) Single-Year Samples - Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS
Keywords: BRR, Re-weighting, Variance Estimation, NHANES, pseudo-PSU

Generating Correlated Synthetic Binary Indicators of Radio Listening Behavior for Long-Term Projections — Yanna Yan, University of Michigan; Michael Elliott, University of Michigan; Brady West, University of Michigan; William Waldron, Nielsen

Access and Explore NCES Survey and Administrative Data Through Self-Guided Online Training Modules —Andrew A. White, National Center for Education Statistics

A Composite Likelihood Approach in Testing for Hardy Weinberg Equilibrium Using Family-Based Genetic Survey Data — Lingxiao Wang, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Yan Li, Joint Program in Survey Methodology

Extension of the Peters-Belson Method to Estimate Health Disparities Among Multiple Groups Using Logistic Regression with Survey Data — Yan Li, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Pengyu Huang, Fors Marsh Group; Joseph L. Gastwirth, The George Washington University

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling — Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University

A Comparison Between Standard Regression and Multilevel Modeling Techniques to Analyze Complex Survey Data Based on the Monte Carlo Simulation Study — Alomgir Hossain, University of Ottawa Heart Institute; George Wells, University of Ottawa Heart Institute; Punam Pahwa, University of Saskatchewan

Ranking Question Design and Data Analysis — Chia- Ling Kuo, University of Connecticut Health Center; Jessica Hoag, University of Connecticut Health Center

Session: 595 Update on Current Population Survey Research— Topic-Contributed
Organizer(s): Yang Cheng, U.S. Census Burea
Chair(s): Stephen Ash, U.S. Census Bureau

Current Population Survey Sample Size Study — Daniel Sommers, U.S. Census Bureau; Stephanie Chan Yang, U.S. Census Bureau; Yang Cheng, U.S. Census Bureau

An Iterative Composite Estimator in the Current Population Survey — Yang Cheng, U.S. Census Bureau; Zhou Yu, East China Normal University; Jun Shao, University of Wisconsin

An Overview of Current Population Survey Variance Methodology — Aaron Gilary, U.S. Census Bureau; Yang Cheng, U.S. Census Bureau; Eric Slud, U.S. Census Bureau

Calculating Generalized Variance Functions with a Single-Series Model in the Current Population Survey - Justin McIllece, Bureau of Labor Statistics
Keywords: CPS, variance estimation, generalized variance functions, replication, GVF

Update on Current Population Survey Research, Discussion - Edwin Robison, Bureau of Labor Statistics
Keywords: GVF, compositing, sampling

Session: 601 Expanding Capacity for the Measurement of Sexual Orientation and Gender Identity in Federal Surveys—Topic-Contributed
Organizer(s): Paul Guerino, Centers for Medicare and Medicaid Services
Chair(s): Diane Herz, Mathematica Policy Research

Measurement of Sexual Orientation and Gender Identity in the Federal Statistical System — Jennifer Park, Office of Management and Budget

Improving Measurement of Same-Sex Couple Households for Census 2020 — Nancy Bates; Rose Kreider, U.S. Census Bureau; Daphne Loquist, U.S. Census Bureau

Results from Cognitive Interviews to Assess Items to Measure Gender and Sexual Identity Among English- and Spanish-Speaking Older Adults in Surveys — Stuart Michaels, NORC at the University of Chicago; Michael Stern, NORC at the University of Chicago; Michael Kozloski, NORC at the University of Chicago; Samuel “Chris” Haffer, Centers for Medicare and Medicaid Services; Paul Guerino, Centers for Medicare and Medicaid Services; Debra Reed-Gillette, Centers for Medicare and Medicaid Services

Testing of Sexual Orientation and Gender Identity Questions for the National Crime Victimization Survey — Jennifer Truman, Bureau of Justice Statistics

Session: 602 Using Demography and Randomized Response Model to Improve Social Science Research— Contributed
Chair(s): Norman Bradburn, NORC at the University of Chicago

Identifying the Transgender Population in the Medicare Program — Samuel “Chris” Haffer, Centers for Medicare and Medicaid Services; Kimberly Proctor, Centers for Medicare and Medicaid Services; Carla Hodge, Centers for Medicare and Medicaid Services; Cara James, Centers for Medicare and Medicaid Services; Erin Ewald, NORC at the University of Chicago; Paul Guerino, Centers for Medicare and Medicaid Services

Urban Analytics: A Case Study in Philadelphia — Shane Jensen, The Wharton School; Rachel Thurston, Stantec Architecture; Colman Humphrey, The Wharton School

Racial and Ethnic Disparities in Health Care: An Examination of State Inpatient Databases in the Utilization of and Outcomes Following Total Knee Arthroplasty — Wei Zhang, The George Washington University

Applications of Statistical Techniques to Smoking Cessation Studies Using National Survey Data — Julia Soulakova, University of Nebraska-Lincoln; Lisa Crockett, University of Nebraska-Lincoln

A Randomized Response Model for Continuous Data — Alaa Elkadry, Oakland University; Gary C. McDonald, Oakland University

A Revisit to Two-Deck Randomized Response Model - Oluseun Odumade, Deloitte Consulting; Augustus Jayaraj, Cornell University; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville
Keywords: Randomized Reponse, Senstive variable, Estimation of proportion, Unrelated characteristics

Simultaneous Estimation of Means of Two Sensitive Quantitative Variables - Segun Ahmed, Texas A&M University-Kingsville; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville
Keywords: Two sensitive variables, Estimation of means, variance, Protection of respondents

Session: 613 Nonresponse Adjustment and Nonresponse Bias Reduction Methods—Contributed
Chair(s): Eric Slud, U.S. Census Bureau

Effects of Nonresponse Bias Adjustments on Survey Estimates of Health Conditions and Behaviors in a Community Sample in Chicago — Linda K. Owens, Survey Research Laboratory; Timothy Johnson, University of Illinois at Chicago; Jerry Krishnan, University of Illinois at Chicago

Collecting Proxy Measures of Key Survey Variables to Estimate, Reduce, and Adjust for Nonresponse Bias — Emilia Peytcheva, RTI International; Andy Peytchev, University of Michigan; Matt Jans, University of California at Los Angeles

Do Secondary Data and Multiple Attempts of Survey Data Collection Reduce Nonresponse Bias? — Xiaowei Yan; Walter F. Stewart, Sutter Health; Vatche Minassian, Brigham and Women"s Hospital

Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based Web Panelists — Wei Zeng, NORC at the University of Chicago; Michael Dennis, NORC at the University of Chicago

Randomly Split Zones for Samples of Size One as Reserve Replicates and Random Replacements for Nonrespondents - Avinash Singh, American Institutes for Research; Cong Ye, American Institutes for Research
Keywords: Random Group Method, Reserve Sample Replicates, Unit vs. Group Response Rate, Weighted Response Rate, Nonresponse Follow-up Survey

The Relationship Between Nonresponse and Revisions in the CES: Anticipating the Size and Direction of Revisions Using Firm Characteristics and Their Employment Reporting History — Clyde Tucker, CNN/AIR; John Dixon, Bureau of Labor Statistics

A Calibrated Bayesian Method for Propensity Score Estimation — Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University

Session: 640 Topics in Adaptive/Responsive Survey Designs— Topic-Contributed
Organizer(s): Jeffrey Gonzalez, Bureau of Labor Statistics
Chair(s): Ashley Clark, Indiana University

Weighting and Variance Estimation Under Adaptive and Responsive Survey Designs — Jeffrey Gonzalez, Bureau of Labor Statistics

Cost-Benefit Analysis of a Responsive Sampling Strategy in MEPS - Sadeq Chowdhury, Agency for Healthcare Research and Quality; Steve Machlin, Agency for Healthcare Research and Quality
Keywords: MEPS, responsive design, sampling, subsampling nonrespondents

Experimenting with Contact Strategies to Aid Adaptive Design in Economic Surveys - Cha-Chi Fan, U.S. Census Bureau; Alfred D. Tuttle, U.S. Census Bureau; Joshua Langeland, U.S. Census Bureau; Erica Marquette, U.S. Census Bureau; Aryn Hernandez, U.S. Census Bureau; Stephanie Coffey, U.S. Census Bureau; Jennifer Beck, U.S. Census Bureau
Keywords: contact strategies, experiment, business survey

Survey of Income and Program Participation Case Prioritization Experiment Results — Gina Walejko, U.S. Census Bureau; Allison Zotti, U.S. Census Bureau

Assigning Cases Effectively for the Current Population Survey — Kevin Tolliver, U.S. Census Bureau

Session: 647 Americans on the Move: Challenges and Solutions in Modeling Transportation Data— Topic-Contributed
Organizer(s):Jiashen You, Department of Transportation
Chair(s): Feng Guo, Virginia Tech

Identifying Risk Factors for Interstate Crashes Using Spatial Statistics — Kaitlin Gibson, Brigham Young University; Matthew J. Heaton, Brigham Young University

Modeling Transportation Characteristics: Small-Area Estimation Using the National Household Travel Survey — Theresa Firestine, U.S. Department of Transportation; Stephen Brumbaugh, U.S. Department of Transportation

Geographical Predictors of GPS-Based Transportation Survey Response Rates — Timothy Michalowski, Abt SRBI; Dara Seidl, Abt SRBI

Direct and Indirect Effects of Alcohol Impairment and Safety Belt Use on Head Injuries and Their Associated Charges in Illinois — Mehdi Nassirpour, Illinois Department of Transportation

Session: 661 Issues in Estimating and Adjusting for Sampling and Nonsampling Errors—Contributed
Chair(s): Meena Khare, CDC/NCHS

Interviewer Effects and the Measurement of Financial Literacy — Panagiota Tzamourani, Deutsche Bundesbank; Thomas F. Crossley, University of Essex/Institute of Fiscal Studies; Tobias Schmidt, Deutsche Bundesbank; Joachim Winter, University of Munich

Occupation Coding During the Interview — Malte Schierholz, Institute for Employment Research; Miriam Gensicke, TNS Infratest Sozialforschung; Nikolai Tschersich, TNS Infratest Sozialforschung

Medical Event Reporting in the 2005 to 2013 MEPS in Terms of Self and Proxy Reporting According to the Person"s Relationship to the Respondent - Frances Chevarley, Agency for Healthcare Research and Quality; Karen Davis, Agency for Healthcare Research and Quality
Keywords: Medical Expenditure Panel Survey (MEPS), Household survey, Health Care Utilization, Proxy

Motivated Misreporting in Web Panels — Ruben Bach, Institute for Employment Research; Stephanie Eckman, RTI International

Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait- Multimethod Models — Daniel Oberski, Tilburg University; Antje Kirchner, University of Nebraska- Lincoln; Stephanie Eckman, RTI International; Frauke Kreuter, University of Maryland/University of Mannheim/German Federal Employment Agency/i>

Stratified Sampling from Electronic Health Records: Approaches to Addressing Errors in Stratum Definitions — Nathaniel Mercaldo, Vanderbilt University; Jonathan Scott Schildcrout, Vanderbilt University

Total Survey Error in a National Survey of Influenza Vaccination with Recall Error — Nicholas Davis, NORC at the University of Chicago; Kennon Copeland, NORC at the University of Chicago; Lin Liu, NORC at the University of Chicago; Tammy Santibanez, CDC; Jim Singleton, CDC; Zhen Zhao, CDC; David Yankey, CDC/NCIRD; Katherine Kahn, CDC/NCIRD; Yusheng Zhai, CDC/NCIRD; Jenny Jeyarajah, CDC

Session: 684 Collecting and Analyzing Sensitive Data: Making Lies Naked!—Topic-Contributed
Organizer(s): Sarjinder Singh, Texas A&M University-Kingsville
Chair(s): Barbara Carlson, Mathematica Policy Research

A Weighted, Squared-Distance Function for Two Decks of Cards in Randomized Response Technique - Augustus Jayaraj, Cornell University; Stephen Sedory, Texas A&M University- Kingsville; Sarjinder Singh, Texas A&M University- Kingsville; Oluseun Odumade, Deloitte Consulting
Keywords: Randomized response technique, two-deck of cards, lower bound of variance, protection of respondents, privacy in survey research

A Comparison of Three New Randomized Response Models for Simultaneous Estimation of Three Sensitive Dependent Characteristics and Their Overlaps — Oluwaseun Olanipekun; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville

Unrelated Question Model with Two Decks of Cards — Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville

Estimation of Odds Ratio and Attributable Risk Using Randomized Response Techniques - Cheonsig Lee; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville
Keywords: Sensitive characteristics, Odds ratio, Attributable risk, Protection

Session: 705 Methods for Item Missing and Unit Nonresponse— Contributed Survey Research
Chair(s): Barbara Carlson, Mathematica Policy Research

A Multinomial Probit Approach to Categorical Response Imputation for Iterative Sequential Regression — Jonathan Lisic, U.S. Department of Agriculture; Darcy Miller, USDA/NASS; Andrew Dau, U.S. Department of Agriculture

Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health, and Eating Study — Benmei Liu, National Cancer Institute; Erin Hennessy, National Cancer Institute; April Oh, National Cancer Institute; Linda Nebeling, National Cancer Institute

Nonparametric Imputation for Nonignorable Missing Data — Domonique Watson, Emory University; Qi Long, Emory University

Fixed Choice Design and Augmented Fixed Choice Design for Missing Data in Social Networks — Miles Ott, Augsburg College; Joseph Hogan, Brown University; Nancy Barnett, Brown University; Krista Gile, University of Massachusetts-Amherst; Matthew Harrison, Brown University

A More Unified Statistical Approach to Nonresponse and Weighting Adjustments - Ismael Flores Cervantes, Westat
Keywords: nonresponse, nonresponse weighting adjustment, total survey error, response statistical model, model misspecification, weighting

An Investigation of Weighting Procedures for Unit-Nonresponse - Hyunshik Lee, Westat; Jin Kim, Westat
Keywords: unit-nonresponse, bias, calibration, one-step procedure, two-step procedure, response mechanism

Weighting for Nonresponse in the Survey of Registered Voters Living Overseas - Jonathan Mendelson, Fors Marsh Group; Pengyu Huang, Fors Marsh Group
Keywords: nonresponse, propensity, voting, weighting, adjustment, resampling

Session: 708 Nonresponse and Propensity Scores—Contributed
Chair(s): Wei Zhuang, Creighton University

A New Approach for Collecting Data from Long- Term Nonrespondents in the Multiple Worksite Report — Kelly Quinn, Bureau of Labor Statistics; Emily Thomas, Bureau of Labor Statistics

Data Fusion for Accurate State-Level Diabetes and Prediabetes Prevalence Estimation — David A. Marker, Westat; Jianzhu Li, Westat; Russ Mardon, Westat; Luke B. Smith, Westat; Deborah Rolka, CDC; Sharon H. Saydah, CDC; Frank Jenkins, Westat; Elizabeth Petraglia, Westat

Response Rates for the Pre-Production Test of the Occupational Requirement Survey — Alice Yu, Bureau of Labor Statistics; Chester Ponikowski, Bureau of Labor Statistics; Erin McNulty, Bureau of Labor Statistics

Nonresponse Bias Analysis for the U.S. Census Bureau"s Quarterly Financial Report — Jeremy Knutson, U.S. Census Bureau; Greg Cepluch, U.S. Census Bureau

A Case Study on the Use of Propensity Score Adjustments with Web Survey Data — Van Parsons, CDC/NCHS

Sending Pre-Notice Postcards to Increase Reponse and Decrease Cost for the Current Population Survey — Allison Zotti, U.S. Census Bureau; Louis Avenilla, U.S. Census Bureau; Gina Walejko, U.S. Census Bureau

Nonresponse Bias Analysis and Sample Selection Evaluation in the Survey of Business Owners — Justin Nguyen

Proceedings of the American Association for Public Opinion Research, 2016

Assessing Potential Bias in Respondent-driven Incident Based Data from a Web Survey of College Students - Marcus Berzofsky, RTI International; Chris Krebs, RTI International; Christine Lindquist, RTI International
Keywords: Order Effect, Respondent fatigue, bias, Campus climate surveys, incident-level survey

Bias Reduction through Rural Coverage for the AmeriSpeak Panel - Steven Pedlow, Senior Survey Statistician, NORC at the University of Chicago, Chicago, IL; Jie Zhao, NORC at the University of Chicago
Keywords: Online Panel

Can a Locally-Tailored Image Improve Return Rates? Evidence from a Community-specific Study in California - Matt Jans, UCLA Center for Health Policy Research; Julie C. Linville, RTI International; David Grant, UCLA Center for Health Policy Research
Keywords: envelope design, nonresponse, Mail survey

Conducting a Telephone Survey Using an Abs Sample: A Case Study of the California Health Interview Survey - Jennifer Kali, Westat;Ismael Flores Cervantes, MS,Senior Statistician, Westat
Keywords: Telephone survey, address-based sampling, cell phone sample, small area, ABS, RDD

Consistency and Accuracy of Usps-provided Undeliverable Codes: Implications for Frame Construction, Data Collection Operational Decisions, and Response Rate Calculations - Kristine Wiant, RTI International; Joe McMichael, RTI International; Joe Murphy, RTI International; Katie Morton, RTI International; Megan Waggy, RTI International
Keywords: address based sampling, field studies, undeliverables, frame construction, mail studies

Effectiveness of Messaging to Encourage Response to the ACS - Jenna Fulton, U.S. Census Bureau; Gerson Morales, U.S. Census Bureau; Jenny Hunter Childs, U.S. Census Bureau
Keywords: American Community Survey, Self Response, Privacy, Confidentiality, Trust

Exploring Mode Effects Between Smartphone and Personal Computer Mode of Administration of a National Household Study - Kristine Wiant, RTI International; Ashley Richards, RTI International, Research Triangle Park, NC; Stephanie Zimmer, RTI International; Danielle Mayclin, U.S. Energy Information Administration
Keywords: Mode Effects, Smartphone, Web Survey

Impact of Field Period Length in the Estimates of Sexual Victimization in a Web Based Survey of College Females - Marcus Berzofsky, RTI International; Chris Krebs, RTI International; Christine Lindquist, RTI International
Keywords: Early vs. late responders, nonresponse bias, web surveys, college students, sexual assault, incentives

Implications of Response Device Type for Sensitive Web Surveys: Examining Data Quality and Respondent Characteristics in a Survey of College Students - Amanda Smith, RTI International; Ashley Richards, RTI International, Research Triangle Park, NC; Kimberly C. Peterson, RTI International
Keywords: Mobile, sensitive items, web surveys, item nonresponse, breakoffs, college studentsy

Increasing Incentive Salience: Effects of a Pre-Notification Letter on Nonresponse Follow-Up - Julie C. Linville, RTI International; Matt Jans, UCLA Center for Health Policy Research; David Grant, UCLA Center for Health Policy Research; Michael Bostwick, RTI International
Keywords: Salience, Incentive, Pre-notification letter, Nonresponse follow-up

Mobile as Survey Mode - Tobias Konitzer, Stanford University; Stephanie Eckman, RTI International, Nrnberg, Germany; David Rothschild, Microsoft Research
Keywords: Mobile devices, Web surveys

Mode Effects in American Trends Panel: Bayesian Analysis of a Cross-classified Item-person Mixed Model - Jeff Gill, Washington University; Stas Kolenikov, Abt SRBI; Kyley McGeeney, Pew Research Center; Nancy Mathiowetz,Independent Consultant
Keywords: Bayesian mixed model, mode effect, survey methodology, multimode survey, location scale model

Multi-Mode Political Surveys an Exploratory Study - Jacquelin Redman, Franklin & Marshall College Center for Opinion Research; Scottie Thompson, Franklin & Marshall College Center for Opinion Research; Berwood Yost, Franklin & Marshall College Center for Opinion Research
Keywords: Representativeness, R-indicator, Multi-mode methodology

The Benefits of an Increased Cell Phone Allocation for Dual-frame Surveys to Target Low Socioeconomic Persons - Jamie Ridenhour, RTI International; Marcus Berzofsky, RTI International; Bo Lu, Division of Biostatistics, Ohio State University; Timothy Sahr, Ohio Colleges of Medicine Government Resource Center
Keywords: cell phone, RDD, dual-frame survey, sample design

Timing Is Everything: Discreetly Discouraging Mobile Survey Response Through the Timing of E-mail Contacts - Ashley Richards, RTI International, Research Triangle Park, NC; Amanda Smith, RTI International; Bonnie Shook-Sa, University of North Carolina at Chapel Hill; Marcus Berzofsky, RTI International
Keywords: mobile, timing, e-mail reminders, students, e-mail invitations, optimizing data quality