Proceedings of the Joint Statistical Meetings 2017 Survey Research Methods Section
Baltimore, Maryland, July 29 - August 3, 2017

Session 11: Environmental Surveys: A Hot Spot for Statisticians — Invited
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Paul Schroeder, Abt Associates

Methodological Challenges of Environmental Surveys Compared with Human or Establishment Surveys (View Presentation) — David A Marker, Westat
Kewwords: Physical support; Measurement error

Spatio-Temporal Balanced Sampling Design for Longitudinal Natural Resources Survey — Zhengyuan Zhu, Iowa State University
Kewwords: survey sampling; spatially balacned sampling; natural resource surveys; multistage design

Estimation of Marine Recreational Fishery Characteristics Using Survey and Logbook Data — Jean Opsomer, Colorado State University; Jay Breidt, Colorado State University; Eric Hiltz, South Carolina Department of Natural Resources
Kewwords: capture-recapture; self-reported data; survey estimation

Session 21: Non-Probability Sampling and Estimation: Fit-for-Purpose Designs — Topic Contributed
Organizer(s): Karol Krotki, RTI
Chair(s): Karol Krotki, RTI

Non-Probability Sampling: The Good, the Bad, and the Oh So Interesting — Jill Dever, RTI International
Kewwords: Non-probability surveys; Population inference; Fit for purpose; Survey weights; Model-based estimation

Using Online Panel Surveys to Estimate Population-Level Health Statistics — Reanne Townsend, Westat
Kewwords: Non-probability; sampling; online panel surveys; health statistics; Federal surveys

Redirected Inbound Call Sampling - an Example of Fit for Purpose Non-Probability Sample Design (View Presentation) — Burton Levine, RTI International; Karol Krotki, RTI; Georgiy Bobashev, RTI International
Kewwords: nonprobability; Redirected; Inbound

Improving the External Validity of Nonprobability Samples — Mansour Fahimi, GfK
Kewwords: Nonprobability Samples; Calibration Adjustments; Composite Estimates; Design Effect

Session 26: Data Editing: How Much Is Too Much? — Topic Contributed Panel
Organizer(s): Peter Frechtel, RTI International
Chair(s): Peter Frechtel, RTI International

Data Editing: How Much Is Too Much? (View Presentation) — Rebecca Ahrnsbrak, Substance Abuse and Mental Health Services Administration Chrishelle Lawrence, U.S. Energy Information Administration Darcy Miller, National Agricultural Statistics Service Kirk Mueller, U.S. Bureau of Labor Statistics Justin Nguyen, U.S. Census Bureau
Kewwords: data editing; questionnaire design; total survey error; public use files

Session 37: Combining Data and Use of Administrative Lists — Contributed
Chair(s): Chair(s): Meena Khare, NCHS/CDC

Lifestyle Segments, Social Marketing, and Hard-To-Survey Populations: Understanding Participation in the 2015 Census Test — Mary Mulry, U.S. Government; Nancy Bates; Matt Virgile, U.S. Census Bureau
Kewwords: 2020 Census; communications campaign; Low Response Score

Supplementing Record Linkage with Statistical Matching for Non-Consent Bias Reduction (View Presentation) — Jonathan Gessendorfer, Institute for Employment Research; Jonas Beste, Institut für Arbeitsmarkt- und Berufsforschung; Jörg Drechsler, Institute for Employment Research; Joseph Sakshaug, The University of Manchester
Kewwords: Statistical Matching; Record Linkage; Non-Consent Bias

Statistical Analysis with Linked Data — Ying Han, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
Kewwords: Record Linkage; Generalized Linear Regression; Linkage Errors; Measurement Error; Bias Correction; File Matching

Calculating Boundary Limits for the Hidiroglou-Bertholet Edit Used to Flag Adminstrative Receipts (View Presentation) — Melvin McCullough, U.S. Census Bureau; Michael E Kornbau, U.S. Census Bureau
Kewwords: Imputation; single-unit; , multi-unit

Estimating Net Coverage of ABS Frames (View Presentation) — Rachel Harter, RTI International; Katherine B Morton, RTI International; Ashley Amaya, RTI International
Kewwords: ABS; frame; coverage

Using Commercial Data to Enhance Survey Eligibility: The Amerispeak Experience — Ned English, NORC at the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago
Kewwords: ABS; Commercial data; Coverage

Session 48: Bayesian Adaptive Survey Designs — Invited
Organizer(s): Natalie Shlomo, University of Manchester
Chair(s): Natalie Shlomo, University of Manchester

More Information Is Better! Where Do We Get it and How Do We Use It? — Stephanie Michelle Coffey, U.S. Census Bureau; JPSM University of Maryland
Kewwords: data collection; adaptive design; propensity models; bayesian methods

Modeling Nonresponse Bias Likelihood and Response Propensity: The Design and Implementation of Statistical Models to Identify Cases for Interventions During Data Collection — Daniel Pratt, RTI International; Jeffrey Rosen, RTI International; Michael Duprey, RTI International; Jamie Wescott, RTI International
Kewwords: responsive design; adaptive design; modeling; data collection methods; nonresponse bias

An assessment of the utility of a Bayesian framework to improve response propensity modelling — Eliud Kibuchi, University of Southampton; Gabriele Durrant, University of Southampton; Patrick Sturgis, University of Southampton; Olga Maslovskaya, University of Southampton
Kewwords: Bayesian; nonresponse; predictive power; response propensity models;

Optimization of Adaptive Survey Design from a Bayesian Perspective. Two Case Studies — Barry Schouten, Statistics Netherlands; Joep Burger, Statistics Netherlands; Nino Mushkudiani, Statistics Netheriands
Kewwords: Survey errors; Survey costs; Mode effects; Nonresponse

Using Bayesian Methods to Rank Cases Based on Response Propensity During Data Collection — James Wagner, University of Michigan
Kewwords: Adaptive survey design; Bayesian logistic regression; Survey nonresponse; Paradata

Test of Adaptive Survey Design from a Bayesian Perspective in a Longitudinal Survey (View Presentation) — Peter Lundquist, Statistics Sweden; Anton Johansson, Statistics Sweden; Gabriele Durrant, University of Southampton
Kewwords: data collection; auxiliary variables; survey quality indicators

Session 64: Nonparametric Modeling of Survey Data — Topic Contributed
Organizer(s): Daniell Toth, US Bureau of Labor Statistics
Chair(s): Randall Powers, US Bureau of Labor Statistics

Model-Assisted Estimation with Regression Trees (View Presentation) — Kelly McConville, Swarthmore College; Daniell Toth, US Bureau of Labor Statistics
Kewwords: model-assisted estimation; regression trees; complex surveys

Estimating the Number of Tax Returns Required to Be Filed: Nonparametric Methods to Address Respondent Rounding (View Presentation) — Minsun Riddles, Westat; Sharon Lohr, Westat; J. Michael Brick, Westat; Patrick T. Langetieg, Internal Revenue Service; J. Mark Payne, Internal Revenue Service; Alan H. Plumley, Internal Revenue Service
Kewwords: Heaping; Imputation; Income distribution; Kernel density estimation; Maximum likelihood; Measurement errors

Recursive Partition Split Selection Using a Permutation Test for Complex Sample Data (View Presentation) — Daniell Toth, U.S. Bureau of Labor Statistics
Kewwords: regression tree; hypothesis test; p-values; variable selection; nonparametric; survey data

B-Spline Imputation Procedures for the Treatment of Item Nonresponse in Surveys — David Haziza, University of Montreal; Camelia Goga, Universite de Bourgogne
Kewwords: Item nonresponse; Nonparametric imputation; Survey data; Variance estimation

Bayesian Regression Using an Approximated Solution to the Penalized Least Squares Minimization Problem (View Presentation) — Eduardo Trujillo Rivera
Kewwords: Bayesian prediction; Regularization; Regression; Gaussian process; Credible Intervals

Session 76: Sample Design — Contributed
Chair(s): Aref Dajani

Accuracy in Contact Information for Website Registrations (View Presentation) — Steven Pedlow, NORC at the University of Chicago; John Lickfett, NORC at the University of Chicago; Edward Mulrow, NORC; Yongheng Lin, NORC at the University of Chicago
Kewwords: ICANN; WHOIS

Identifying Out of Business Records on the NASS List Frame Using Boosted Regression Trees (View Presentation) — Gavin Corral, USDA NASS; Andrew Dau, USDA NASS
Kewwords: Survey; Boosted Tree; Machine Learning; List Frame

Analyzing the Need for an Oversample of Low Income Beneficiaries in the Medicare Current Beneficiary Survey (View Presentation) — Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; Debra Reed-Gillette , Centers for Medicare & Medicaid Services; Cheryl L. Sharpless, CMS
Kewwords: Medicare; survey; sampling frame; low-income; oversample design

Software Solutions to Sample Design Problems That Are Equivalent to Solving a Transshipment Problem (View Presentation) — Richard Sigman, Westat; Mike Kwanisai, Westat
Kewwords: Transportation problems; controlled-selection randomizatoin; two-way stratification; allocation; second-wave sample; overlapping estimation domains

Analysis and Results of a Bonded Labor Prevalence Survey in Tamil Nadu, a State of India (View Presentation) — Paul Zador, Westat; Beth Ann Rabinovich, Westat
Kewwords: bonded labor; India; survey; prevalence by industry

Design and Implementation of a Rapid, Population-Based Survey for the Zika Emergency Response Effort in Puerto Rico (View Presentation) — Holly Shulman, CDC; Brian Morrow, CDC; Beatriz Salvesen von Essen Lopez, Puerto Rico Department of Health; Wanda Hernandez Virella, Puerto Rico Department of Health
Kewwords: emergency response; Zika virus; cluster sampling

Exploring Sampling Techniques to Reduce Respondent Burden (View Presentation) — Yijun Wei; Valbona Bejleri, National Agricultural Statistics Service
Kewwords: Respondent burden; Sampling strategies; Survey coordination

Session 83: Your Invited Poster Evening Entertainment: No Longer Board — Invited
Chair(s): Jessi Cisewski, Yale University

Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO) — Gutti Jogesh Babu, The Pennsylvania State University; David Jones, SAMSI / Duke
Kewwords: Astrostatistics; SAMSI; Exoplanets; Time Domain Astronomy

A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest — Collin Eubanks, Carnegie Mellon University; Jessi Cisewski, Yale University; Rupert Croft, Carnegie Mellon University; Doug Nychka, National Center for Atmospheric Research; Larry Wasserman, Carnegie Mellon
Kewwords: intergalactic medium; quasar; Lyman-alpha forest; Gaussian random field

Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations — Gwendolyn Eadie, McMaster University; Benjamin Keller, McMaster University; William Harris, McMaster University; Aaron Springford, Queen's University
Kewwords: astrostatistics; astronomy; cosmology; hierarchical; Bayesian; physics

Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives — David Van Dyk, Imperial College London; Sara Algeri, Imperial College London; Jan Conrad, University of Stockholm
Kewwords: Bayes Factors; P-values; Signal Detection; High Energy Physics; Finite Mixture Models

Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data — David Craig Stenning, SAMSI/Duke University; Working Group 1 ASTRO Program, SAMSI
Kewwords: emulation; calibration; uncertainty quantification; Bayesian methods; MCMC; astrostatistics

The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression — Wei Sun, Fred Hutchinson Cancer Research Center
Kewwords:

Rerandomization: a Flexible Framework for Experimental Design — Kari Lock Morgan, Penn State University
Kewwords: Rerandomization; Covariate balance; Precision; Randomization test

IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression — Nicholas Aaron Syring, NCSU; Ryan Martin, NCSU
Kewwords: instrumental variables; inferential model

Detecting Differential Gene Expression by Single-Cell RNA Sequencing — Mingyao R Li, University of Pennsylvania; Cheng Jia, University of Pennsylvania; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
Kewwords: Single cells; RNA-seq; gene expression

Statistical Science and Policy at the EPA — Elizabeth Mannshardt, US Environmental Protection Agency
Kewwords: environment; air quality; health effects; data fusion; EPA

Approximate Message Passing Algorithms for High-Dimensional Regression — Cynthia Rush, Columbia University
Kewwords: algorithms; approximate message passing; image reconstruction; high-dimensional regression; compressed sensing

Generalized Fiducial Inference for High-Dimensional Data — Jan Hannig, University of North Carolina at Chapel Hill; Jonathan P Williams, University of North Carolina at Chapel Hill
Kewwords:

The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution — Ruobin Gong, Harvard University; Xiao-Li Meng, Harvard University
Kewwords: belief function; random sets; Dempster-Shafer; low-resolution inference; Bayesian inference; information aggregation

Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees — Suzanne Thornton, Rutgers University; Minge Xie, Rutgers University
Kewwords: approximate Bayesian computing; confidence distribution; Bernstein von Mises

R Package TDA for Statistical Inference on Topological Data Analysis — Jisu Kim, Carnegie Mellon University
Kewwords: TDA; topological data analysis; persistent homology; computational topology; R package

Teaching a Large, Project-Based Statistical Consulting Class — Emily Griffith, NC State University
Kewwords: Consulting; Education; Course Design

Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential! — Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma; Tyler Cook, University of Central Oklahoma
Kewwords: statistics education; experiential learning; service learning

The Geometry of Synchronization Problems and Learning Group Actions — Tingran Gao, Duke University; Jacek Brodzki, University of Southampton; Sayan Mukherjee, Duke University
Kewwords: synchronization problem; fibre bundle; holonomy; Hodge theory; graph connection Laplacian

Sufficient Markov Decision Processes with Alternating Deep Neural Networks — Longshaokan Wang, North Carolina State University; Eric Laber, North Carolina State University; Katie Witkiewitz, University of New Mexico
Kewwords: Markov Decision Processes; Dimension Reduction; Deep Learning; Reinforcement Learning; Mobile Health; Sufficient Statistics

Optimal Dynamic Treatment Regimes Using Decision Lists — Yichi Zhang, Harvard University; Eric Laber, North Carolina State University; Anastasios (Butch) Tsiatis, North Carolina State University; Marie Davidian, North Carolina State University
Kewwords: Dynamic treatment regimes; Precision Medicine; Decision Lists; Q-learning

Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression — Lei Ding, Indiana University; Daniel J. McDonald, Indiana University
Kewwords: regression; principal components; preconditioning; matrix sketching; high-dimensional

Computer Vision Meets Television — Taylor Arnold, University of Richmond; Lauren Tilton, University of Richmond
Kewwords: functional data analysis; digital humanities; face recognition

Generalized Fiducial Inference for Nonparametric Function Estimation — Randy C.S. Lai, University of Maine
Kewwords: RKHS; nonparametric function estimation; GFI

A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data — Justin David Silverman, Duke University; Sayan Mukherjee, Duke University; Lawrence A David, Duke University
Kewwords: Compositional Data; Metagenomics; Phylogenetics; Microbiome

Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction — John Tipton, Colorado State University; Mevin Hooten, Colorado State University
Kewwords: Inverse Prediction; Multispecies Modeling; Gaussian Process; Paleoclimate

Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models — Yawen Guan, Penn State University; Murali Haran, Pennsylvania State University
Kewwords:

Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments — Alexandra Chouldechova, Carnegie Mellon University
Kewwords: Risk assessment; Prediction; Fairness; Ethics; Disparate Impact; Model assessment

I Ran a Nonresponse Follow-Up Survey; Now What Do I Do? — Phillip Kott, RTI
Kewwords: Residential Energy Consumption Survey; Calibration Weighting; Augmented Sample; Compositing Factor

Session 105: Recent Advancements and Remaining Challenges of Adaptive Design in Sample Surveys and Censuses — Invited Panel
Organizer(s): Asaph Young Young Chun, US Census Bureau
Chair(s): James Lepkowski, University of Maryland

Recent Advancements and Remaining Challenges of Adaptive Design in Sample Surveys and Censuses — Asaph Young Young Chun, US Census Bureau; Barry Schouten, Statistics Netherlands; Roger Tourangeau, Westat; Steven Heeringa, University of Michigan

Session 112: Methods for Imputing Missing Survey Data — Topic Contributed
Organizer(s): Daniell Toth, U.S. Bureau of Labor Statistics
Chair(s): Daniell Toth, U.S. Bureau of Labor Statistics

Multiply Robust Nonparametric Multiple Imputation for the Treatment of Missing Data (View Presentation) — Sixia Chen, University of Montreal; David Haziza, University of Montreal
Kewwords: Double robustnes; Missing data; Multiple robustness; Multiple imputation; Variance estimation

Hot Deck Imputation of Multinomial Distributions When There Are Fewer Donors Than Recipients (View Presentation) — Katherine Jenny Thompson, U.S. Census Bureau; Rebecca Andridge,T he Ohio State University; Laura Bechtel, U.S. Census Bureau; Natasha McCarthy, U.S. Census Bureau
Kewwords: nearest neighbor; hot deck imputation; multinomial distribution

Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples (View Presentation) — Lan Xue, Oregon State University; Jianfei Zheng, Oregon State University
Kewwords: Asymptotic; Kernel Density; Method of Moments; Missing; Wave Data

CLASSIFICATION and REGRESSION TREES and FORESTS for INCOMPLETE DATA from SAMPLE SURVEYS — MoonJung Cho, U.S. Bureau of Labor Statistics; Wei-Yin Loh, University of Wisconsin-Madison; Yuanzhi Li, University of Wisconsin-Madison
Kewwords: GUIDE (generalized unbiased interaction detection and estimation); Imputation; incomplete predictor variable; item nonresponse; response propensity; U.S. Consumer Expenditure Survey

Session 128: Impact of Data Collection Modes and Data Sources — Contributed
Chair(s): Dan Liao, RTI International

Sales and Income Tax Data Collected Comparability: Quarterly vs. Annual Surveys (View Presentation) — Dedrick Owens, U.S. Census Bureau
Keywords: Sales Tax; Income Tax; Annual; Quarterly; Comparable

Implementation of a Youth Health Survey via the Internet (View Presentation) — Richard Lee Harding, ICF; Bryan Higgins, ICF; Brenda Clark, ICF; Stephanie Richelsen, ICF; Bert Rothenbach, Rothenbach Research; Tera Anderson, Florida Department of Health
Keywords: Internet Survey; Web-pilot

Moving Establishment Surveys from Mail to Web (View Presentation) — Georg-Christoph Haas, Institute for Employment Research; Stephanie Eckman, RTI International; Ruben Bach, Institute for Employment Research; Frauke Kreuter, University of Maryland
Keyworks: mode effects; data quality; establishment surveys

Assessing the Impact of Adopting a Mixed-Mode Design: Examining Respondent Skip Logic Errors in the 2015 Residential Energy Consumption Survey (View Presentation) — Kevin Adams, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International
Kewwords: mixed-mode; skip logic errors; skip patterns; survey design; Residential Energy Consumption Survey; RECS

Weighting Mixed Mode Data for the 2015 Residential Energy Consumption Survey (RECS) (View Presentation) — Patrick Chen, RTI International; Shaofen Grace Deng, U.S. Energy Information Administration; Neeraja Sathe, RTI International; Lanting Dai, RTI International; Rachel Harter, RTI International; Phillip Kott, RTI
Kewwords: Address Based Sampling; Mixed Mode; Weight Calibration; Weight Adjustment; Eligibility Models

Adjusting for Mode Effects in Longitudinal Studies Utilizing a Bayesian Prior on Within Subject Correlation - Heather Kitada, Oregon State University; Sarah C Emerson, Oregon State University; Claudio Fuentes, Oregon State University
Kewwords: Mode Effects; Mode Adjustment; Bayesian; Longitudinal Studies

Comparing Data Collection Methods for the June Area Survey (View Presentation) — Denise A Abreu, USDA/NASS; Michael Hyman, USDA-NASS; Linda A Lawson, USDA/NASS; Sonia Hickman, USDA/NASS
Kewwords: Area Frame; Mobile Mapping; Evaluation

Session 149: Advances in Modeling Multilevel Observational Data from Complex Surveys — Topic Contributed
Organizer(s): Mulugeta Gebregziabher, MUSC
Chair(s): Christopher Swearingen, Samumed

Model-Based Standardization to Adjust for Unmeasured Cluster-Level Confounders with Complex Survey Data (View Presentation) — Babette Brumback, University of Florida; Zhuangyu Cai, Roche
Kewwords: mixed effects model; complex survey data; standardization; alcohol

Modeling Count Data from a Complex Survey using Pseudo Maximum Likelihood — Mulugeta Gebregziabher, MUSC; Lin Dai, Medical University of South Carolina
Kewwords: complex survey; demographic health survey; empirical varaince; pseudo-likelihood; sampling weight

Analysis of Multilevel Complex Survey Data: Comparison of Procedures from Several Software (View Presentation) — Lin Dai, Medical University of South Carolina; Mulugeta Gebregziabher, MUSC
Kewwords: Complex survey; Multilevel modeling; Pseudolikelihood; Weights; Statistical software

Poisson Cokriging as a Generalized Linear Mixed Model, Applications in Public Health (View Presentation) — Lynette Smith, University of Nebraska Medical Center
Kewwords: Poisson; cokriging; generalized linear mixed models

Session 171: Predicting Attrition and Adaptive Strategies — Contributed
Chair(s): Yang Cheng

Empirical Estimation of Survey Attrition Phases (View Presentation) - Camille Hochheimer, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
Keywords: survey; questionnaire; attrition; dropout

Predicting Sample Attrition in a National Study of Medicare Beneficiaries — Christopher Ward, NORC; Rebecca Reimer, NORC; Shannon Corcoran, Centers for Medicare and Medicaid Services; Nicholas Schluterman, Centers for Medicare and Medicaid Services
Keywords: prediction; longitudinal; paradata; CAPI; Medicare; dependent interviewing

Refining an External-Factor Model of Government Survey Refusal Rates (View Presentation) — Luke Larsen, U.S. Census Bureau; Joanna Lineback, U.S. Census Bureau; Benjamin Reist, U.S. Census Bureau
Keywords: official statistics; time series models; refusal rates; autocorrelated error; response rates; Current Population Survey

Adaptive Sampling Using Neyman Allocation (View Presentation) — Michael Matthews

Developing a Web-Based Tool to Evaluate Survey Performance Using R Shiny — Scott Fricker, U.S. Bureau of Labor Statistics; Jeffrey Gonzalez, Bureau of Labor Statistics; Randall Powers, US Bureau of Labor Statistics
Keywords: performance metrics; interactive visualizations; Field evaluation; dashboard

An Embedded Experiment for Targeted Nonresponse Follow-Up in Establishment Surveys — Stephen Kaputa, U.S. Census Bureau; Katherine Thompson, U.S. Census Bureau; Jennifer Beck, National Science Foundation
Keywords: nonresponse follow-up; unit response rate; quantity response rate; raction of missing information; adaptive design

Adaptive Design by Benchmarked Sequential Sampling and Benchmarked Multiple Imputation — Shin-Jung Lee, University of Michigan
Kewwords: Adaptive design; Benchmarked sequential sampling; Benchmarked multiple imputation; Unit nonresponse

Session 199: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Organizer(s): Stanislav Kolenikov, Abt Associates

The Connectivity of Data Science to Survey Design and Statistical Practice — Steven Cohen, RTI International

Session 227: Non-Traditional Approaches for Sampling Rare Populations — Topic Contributed
Organizer(s): Sunghee Lee, University of Michigan
Chair(s): Morgan Earp, U.S. Bureau of Labor Statistics

Operational Aspects of Sampling Foreign-Born Ethnic Minorities Using Respondent Driven Sampling (View Presentation) — Sunghee Lee, University of Michigan; Daayun Chung, University of Michigan; Jae-Kyung Ahn, University of Michigan; Karen Seo, University of Michigan; Minsung Kwon, University of Michigan
Kewwords: respondent driven sampling; rare population; nonprobability sampling

Benchmark Assessment of Respondent Driven Sampling Data for Foreign Born Korean Americans (View Presentation) — Sooin Lee, University of Michigan; Sunghee Lee, University of Michigan; Michael R. Elliott, University of Michigan; Tuba Suzer Gurtekin, University of Michigan
Kewwords: Respondent Driven Sampling; RDS; sampling rare populations

The Use of Imputation and Commercial Data to Improve the Efficiency of Income Stratified Sampling of Households with Young Children (View Presentation) — Paul Burton, University of Michigan; Sunghee Lee, University of Michigan; Trivellore Raghunathan, University of Michigan School of Public Health
Kewwords:

Sampling Late Baby Boomers: Increasing Cluster- and Household-Level Eligibility Rates with External Data (View Presentation) — Daniel Guzman, University of Michigan; Richard Valliant, University of Maryland; Sunghee Lee, University of Michigan; Paul Burton, University of Michigan
Kewwords: external data; small population; rare population; multi-stage sampling

Session 238: Instrumentation and Data Quality — Contributed
Chair(s): Hang Kim, University of Cincinnati

Why Independent Surveys with the Same Objective Yield Different Estimates — Yumiko Siegfried, Westat; David Morganstein, Westat; Andrea Piesse, Westat; Sharon Lohr, Westat
Kewwords: sampling error; non-sampling errors; inconsistent estimates

Integrating Early Stage Scoping Techniques into Traditional Pretesting Methods: Inside the Development of a Survey on Small Business Lending (View Presentation) — Kenneth Herrell, U.S. Census Bureau; Michael Purcell, U.S. Census Bureau; Mary Susan Bucci, U.S. Census Bureau
Kewwords: early stage scoping; survey methodology; cognitive testing; questionnaire development; pretesting

Exploring the Effectiveness of Indirect Questioning in Reducing Social Desirability Bias (View Presentation) — Ashley Clark, Indiana University; Derek Wietelman, Indiana University; Naveed Paydar, Grid Alternatives; John Rupp, Indiana University; John D. Graham, Indiana University
Kewwords: measurement error; social desirability; public opinion; attitudes; energy

Challenges in Collecting Military Family Data on a Nationally Representative Survey (View Presentation) — Struther Van Horn, Kent State University; Rachel Lipari, Substance Abuse and Mental Health Services Administration
Kewwords: Survey; Instrumentation; Military

Resolving Balance Complex Discrepancies in the Presence of Negative Data (View Presentation) — Laura Bechtel, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Maria Garcia, U.S. Census Bureau; Jeremy Knutson, U.S. Census Bureau
Kewwords: Consistency Edits; Raking; Imputation; Quadratic Programming; Linear Programming

Session 282: New Developments in Small Area Estimation Research at the U.S. Census Bureau — Topic Contributed
Organizer(s): Robert Ashmead, U.S. Census Bureau
Chair(s): Nathan Cruze, USDA-NASS

Small Area Model Diagnostics and Validation with Applications to the Voting Rights Act Section 203 (View Presentation) — Robert Ashmead, U.S. Census Bureau; Eric Slud, U.S. Census Bureau/University of Maryland College Park
Kewwords: Small Area Estimation; Model Diagnostics; Parametric Bootstrap

Small Area Models for Over-Dispersed Poisson Counts (View Presentation) — Jerry Maples, U.S. Census Bureau; Adam Maidman, University of Minnesota
Kewwords: small area; count data; poverty; SAIPE

Hybrid BRR and Parametric-Bootstrap Variance Estimates for Small Domains in Large Surveys (View Presentation) — Eric Slud, U.S. Census Bureau/University of Maryland College Park; Robert Ashmead, U.S. Census Bureau
Kewwords: Balanced Repeated Replication; Successive Difference Replication; Parametric Bootstrap; American Community Survey; Small Area Estimation; Dirichlet-Multinomial

Multilevel Regression and Poststratification (MRP) for Small Area Estimation: An Application to Estimate Health Insurance Coverage Using Geocoded American Community Survey (View Presentation) — Xingyou Zhang, U.S. Census Bureau; Samuel Szelepka, U.S. Census Bureau; Blandine Bawawana, US Census Bureau; Alfred Gottschalck, U.S. Census Bureau
Kewwords: Multilevel Regression and Poststratification (MRP); Small area estimation; Amercian Community Survey (ACS); Unit-level Logistic Mixed Model; SAHIE; Parametric Bootstrapping

Session 283: GSS/SSS/SRMS Student Paper Award Presentations — Topic Contributed
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Stanislav Kolenikov, Abt Associates

A Joint Spatial Factor Analysis Model to Accommodate Data from Misaligned Nested Areal Units with Application to Louisiana Social Vulnerability (View Presentation) — Rachel Nethery; Dale P. Sandler, National Institute of Environmental Health Sciences; Shanshan Zhao, National Institute of Environmental Health Sciences; Lawrence S. Engel, University of North Carolina at Chapel Hill; Richard K. Kwok, National Institute of Environmental Health Sciences
Kewwords: Spatial factor analysis; Spatial misalignment; Social indicators; Social vulnerability; Climate change; Louisiana

A Robust Interrupted Time Series Model for Analyzing Complex Healthcare Intervention Data (View Presentation) — Maricela Cruz; Hernando Ombao, KAUST and UC Irvine; Miriam Bender, University of California, Irvine
Kewwords: complex interventions; healthcare outcomes; intervention analysis; segmented regression; time series

Stable Balancing Weights for Marginal Structural Models — María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
Kewwords: Time-dependent confounding; Marginal structural models; Longitudinal data; Weight adjustment; Quadratic programming; Causal inference

Checking Validity of Constrained Survey Estimators (View Presentation) — Cristian Oliva, Colorado State University; Mary Meyer, Colorado State University; Jean Opsomer, Colorado State University
Kewwords: Domain; Estimation; Monotone; Sampling; Surveys

Comparative Study of Differentially Private Data Synthesis Methods — Claire McKay Bowen, University of Notre Dame; Fang Liu, University of Notre Dame
Kewwords: differential privacy; DIPS; sufficient statistics; parametric DIPS; non-parametric DIPS; statistical disclosure limitation

Session 301: Weighting Adjustments — Contributed
Chair(s): Kimberly Ault, RTI International

Changes to the Sample Design and Frame of a National Survey of People Living with HIV — Christopher Johnson, CDC; Ronaldo Iachan, ICF International; Richard Lee Harding, ICF; Adam Lee, ICF; Tonja Kyle, ICF; Jason Craw, CDC; Linda Beer, CDC; Roy L. Shouse, CDC
Kewwords: population-based surveys; health surveys; weighting; nonresponse; post-stratification; HIV

Evaluating the Effect of Weighting Adjustments on HIV Prevalence Estimates in Three Population-Based HIV Impact Assessments Surveys (View Presentation) — Tien-Huan Lin, Westat; Natalia Weil, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University
Kewwords: Survey weights; nonresponse; nonresponse weighting adjustment; LASSO regression; variable selection; CHAID

Evaluation of Nonresponse Weighting Adjustment Methods for a National Survey of People Living with HIV (View Presentation) — Adam Lee, ICF; Ronaldo Iachan, ICF International; Richard Lee Harding, ICF; Davia Spado, ICF; Jason Craw, CDC; Christopher Johnson, CDC; Luke Shouse, CDC
Kewwords: Survey weights; nonresponse; nonresponse weighting adjustment; LASSO regression; variable selection; CHAID

Bayesian sparse propensity score estimation for unit nonresponse (View Presentation) — Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
Kewwords: Approximate Bayesian computation; Data augmentation; Missing at random; Spike-and-Slab prior; Sparsity

Deriving a Person-Level Weight for Analyzing MEPS Supplemental Data from a Linked Medical Organization Survey (View Presentation) — Marc Zodet, Agency for Healthcare Research and Quality; Sadeq R Chowdhury, Agency for Healthcare Research and Quality; Steven Machlin , Agency for Healthcare Research and Quality
Kewwords: Medical Expenditure Panel Survey (MEPS); Medical Organization Survey (MOS); survey design; weighting

Assuring Quality in Dual Frame RDD National or Sub-National Surveys Using Cell Phone Numbers Without Area Codes in South Korea — Sun Woong Kim, Dongguk University; Young-Je Woo, Dongguk University; Nam-Hun Kim, Dongguk University
Kewwords: area code; cell phone RDD sample; weighting; survey quality

TRUMP: Tuned Ratio Unbiased Mean Predictor (View Presentation) — Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
Kewwords: Calibration; unbiasedness; model assistance; performance; simulation study

Session 318: Analyzing Government Data with Missing Item Values: A WSS Invited Session — Invited
Organizer(s): Phillip Kott, RTI
Chair(s): Phillip Kott, RTI

Measuring Cross-Country Differences in Misallocation — Kirk White, U.S. Census Bureau; Mitsukuni Nishida, Johns Hopkins Carey Business School; Martin Rotemberg, New York University; Amil Petrin, University of Minnesota-Twin Cities and NBER
Kewwords: missing data; imputation; regression; statistical editing

Analyzing the Multiply Imputed Accelerometer Data in the 2003-2004 National Health and Nutrition Examination Survey — Benmei Liu, National Cancer Institute; Mandi Yu, National Cancer Institute; Barry I. Graubard, National Cancer Institute; Richard Troiano, National Cancer Institute; Nathaniel Schenker, Retired
Kewwords: Accelerometer data; missing; primary sampling units; multiple imputation; regression analysis

Recommended Methods for Handling Missing Item Values in Regression Analyzes of the National Survey on Drug Use and Health (View Presentation) — Peter Frechtel, RTI International; Phillip Kott, RTI; Rachel Harter, RTI International; Susan Edwards, RTI International; Jeff Laufenberg, RTI International; Stephen Tueller, RTI International; Jiantong Wang, RTI International; Sarra Hedden, Substance Abuse and Mental Health Services Administration; Jonaki Bose, Substance Abuse and Mental Health Services Administration; Rebecca Ahrnsbrak, Substance Abuse and Mental Health Services Administration; Rachel Lipari, Substance Abuse and Mental Health Services Administration; Matthew Williams, Substance Abuse and Mental Health Services Administration
Kewwords: item nonresponse; missing data; imputation; regression; National Survey on Drug Use and Health

Regression Power Analysis for a Linear Regression Model When Regressors Are Matrix-Sampled — Stanislav Kolenikov, Abt Associates; Heather Hammer, Abt Associates
Kewwords: matrix sampling; questionnaire design; survey methodology; linear regression; power analysis; missing data

Session 356: Contributed Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations
Chair(s): Jessi Cisewski, Yale University

Comparison of Model-Based to Design-Based Ratio Estimators — James Knaub, Retired
Kewwords: Ratio Estimator; Variance; Bias; Model-Based; Design-Based; Regression

Three Methods for Occupation Coding Based on Statistical Learning — Matthias Schonlau, University of Waterloo; Hyukjun Gweon; Lars Kaczmirek, GESIS; Michael Blohm, GESIS; Stefan Steiner, University of Waterloo
Kewwords: Occupation coding; machine learning; statistical learning; ISCO-88; ALLBUS

The Interaction Between Question Order and Delivery Mode (All Mail vs. Mixed Mode, Web+Mail) — Laura Gamble; Katherine McLaughlin, Oregon State University; Virginia Lesser, Oregon State University
Kewwords: Survey; Sampling; Mixed-Mode Survey; Question Order

Sample Design and Weighting for Estimating a Dose-Response Curve — Sharon Lohr, Westat; Pamela Broene, Westat; Eric Jodts, Westat
Kewwords: balanced sampling; logistic regression; optimal design; stratification

Challenges in Linking Demographic Data at Different Geographic Levels — Edward Mulrow, NORC; Rebecca Curtis, NORC at the University of Chicago; Ned English, NORC at the University of Chicago; Yongheng Lin, NORC at the University of Chicago; Ilana Ventura, NORC at the University of Chicago
Kewwords: GIS; geography; ACS; ZIP code; census tract; calibration

Effects of Link Misspecification in Propensity Score Weighting Adjustment — Samantha Spiers, LSUHSC School of Public Health, Biostatistics Program; Evrim Oral, LSUHSC School of Public Health
Kewwords: Survey Design; Unit Nonresponse; Nonresponse Bias; Weight Adjustments; Propensity Score; Link Misspecification

A Simulation Study to Evaluate How Sample Weight Adjustment for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias — Te-Ching Chen, NCHS; Jennifer Parker, National Center for Health Statistics; Tala Fakhouri, NCHS
Kewwords: Nonresponse; NHANES; Simulation; Sample Weights; Nonresponse adjustment; Informative missingness

Psychometric Development and Validation of a Tool for Pediatric Patient Caregivers to Provide Feedback About Emergency Physician Interpersonal and Communication Skills — Shelley Kumar, Baylor College of Medicine/Texas Children's Hospital; Deborah C. Hsu, Baylor College of Medicine/Texas Children's Hospital; Katherine Leaming Van Zandt, Baylor College of Medicine/Texas Children's Hospital; Eric Russell, Baylor College of Medicine/Texas Children's Hospital; Karina Soto-Ruiz, Baylor College of Medicine/Texas Children's Hospital
Kewwords: pediatric patients and caregivers; Validation of an assessment tool; Physicians interpersonal and communication skills

Session 377: Nonparametric Saturated Methods to Handle Nonignorable Missing Data — Invited
Organizer(s): Mauricio Sadinle, Duke University
Chair(s): Jerry Reiter, Department of Statistical Science, Duke University

Combining Identifying Assumptions to Handle Nonignorable Missing Data (View Presentation) — Mauricio Sadinle, Duke University; Jerry Reiter, Department of Statistical Science, Duke University
Kewwords: Nonignorable; Missing not at random; Missing data

Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data (View Presentation) — Geert Molenberghs , Universiteit Hasselt
Kewwords: missing data; incomplete data; sensitivity analysis; selection model; pattern-mixture model; shared-parameter model

Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness (View Presentation) — Antonio R Linero, Florida State University
Kewwords: Missing Data; Identifying Restrictions; Nonparametric; Mixture Model

Inverse Probability Weighting Estimators for Functions of Data Missing Non-Monotonically and Not at Random (View Presentation) — Ilya Shpitser, Johns Hopkins University
Kewwords:

Session 381: Improper Imputation — Invited
Organizer(s): Paul T von Hippel, University of Texas
Chair(s): Minsun Riddles, Westat

Maximum Likelihood Multiple Imputation: a More Efficient Approach to Repairing and Analyzing Incomplete Data (View Presentation) — Paul T von Hippel, University of Texas
Kewwords: missing data; missing values; incomplete data; impute

Fractional Imputation for Dummies (View Presentation) — Jae-kwang Kim, Iowa State University
Kewwords:

Hot Deck Imputation: Proper or Improper? (View Presentation) — Rebecca Andridge, Ohio State University
Kewwords: hot deck; multiple imputation; bootstrap

Session 396: Current Themes in Record Linkage Research — Topic Contributed Papers
Organizer(s): Jana L Asher, AABB
Chair(s): Marc Roemer, AHRQ

A Cross-Disciplinary Review of Record Linkage Methodologies (View Presentation) - Jana L Asher, AABB
Keywords: record linkage; probabilistic matching; duplicate detection; entity resolution; entity linking; data linking

The Estimation of Match Validity Under the Fellegi-Sunter Paradigm Without Assuming Identifier-Agreement Independence (View Presentation) - Dean Resnick, NORC
Keywords: Fellegi-Sunter; Record Linkage; Machine Learning; Optimization

File linking with faulty matching information (View Presentation) - Nicole Dalzell, Wake Forest University; Jerry Reiter, Department of Statistical Science, Duke University; Gale Boyd, Duke University
Keywords: linkage; faulty; Bayesian; hiearchical; matching

Enhancement of Health Surveys with Data Linkage (View Presentation) - Cordell Golden, National Center for Health Statistics (NCHS); Lisa B Mirel, CDC/NCHS/OAE/SPB
Keywords: National Center for Health Statistics; data linkage; health surveys; administrative records; vital statistics

Session 409: Small-Area Estimation and Use of Unit-Level Models — Contributed Papers
Chair(s): Dilli Bhatta, The University of South Carolina Upstate

Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse (View Presentation) - Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
Keywords: Complex Survey Design; Disease Mapping; Hierarchical Bayesian Modeling; Integrated Nested Laplace Approximation; Missing Data

Small Area/Domain Estimation Assuming One Auxiliary Variable, Equal Unit Error Variances and Post-Stratification (View Presentation) - Prabhakar Ghangurde, Consultant
Keywords: Ratio-synthetic; BLUP; Efficiency; Post-stratification; Domain; Estimation

Developments in Model-Based County-Level Estimation of Agricultural Cash Rental Rates (View Presentation) - Michael E. Bellow, USDA-NASS; Nathan Cruze, USDA-NASS; Andreea L Erciulescu, NISS and USDA NASS
Keywords: Model-based estimation; Best linear unbiased predictor; Cash Rents Survey

Unit-Level Logistic Mixed Effects Models for Small Area Estimation of Poverty Estimates (View Presentation) - Blandine Bawawana, US Census Bureau; Xingyou Zhang, U.S. Census Bureau; Samuel Szelepka, U.S. Census Bureau; John Posey, US Census Bureau
Keywords: multilevel logistic model; small area estimation; ACS; SAIPE; Fay-Herriot Model; Proc Glimmix

Small Area Estimation in Government Surveys (U.S. Census Bureau) (View Presentation) - Bac Tran, US Census Bureau
Keywords: governmental units; hierarchical Bayes; Monte Carlo Simulation; Small Area Estimation

Session 437: The Role of the Sampling Program for Survey Statisticians in Training Statisticians Around the Globe
Organizer(s): Michael R. Elliott, University of Michigan
Chair(s): Michael R. Elliott, University of Michigan

The Role of the Sampling Program for Survey Statisticians in Training Statisticians Around the Globe - Mahmoud Elkasabi, ICF; Raphael Nishimura, Abt Associates
Keywords: sampling training; capacity building

A Substitution Procedure for Missing Not at Random Mechanism (View Presentation) - Raphael Nishimura, Abt Associates

Small Area Estimation by Combining Two Surveys with Special Consideration of Cell Only Households (View Presentation) - Dawei Xie, University of Pennsylvania; Qiang Pan; Van Parsons, National Center for Health Statistics; Trivellore Raghunathan, University of Michigan School of Public Health; Benmei Liu, National Cancer Institute; Eric Feuer, National Cancer Institute; Nathaniel Schenker, Retired
Keywords: small area estimation; BRFSS; NHIS; cell-only households

Interviewer Effects on Racially-Sensitive Questions and Biomeasures: Results from a Semi-Interpenetrated Design - Matt Jans, Abt Associates; Trivellore Raghunathan, University of Michigan School of Public Health; Mick P. Couper, Michigan Program in Survey Methodology
Keywords: interviewer effects; race-of-interviewer; survey methodology; interviewer variance

Session 459: Time-Trend Analysis with Complex Survey Data — Topic Contributed Papers
Organizer(s): Dan Liao, RTI International
Chair(s): Rachel Harter, RTI International

An Overview of Trend Testing Methods and Applications in NSDUH and Other Studies (View Presentation) - Matthew Williams, Substance Abuse and Mental Health Services Administration; Dan Liao, RTI International; Sarra Hedden, Substance Abuse and Mental Health Services Administration; Christopher Sroka, RTI (former)
Keywords: mental health; multistage survey; official statistics; substance use; trend test

Comparison of Trend Testing Methods: a Simulation Study with NSDUH Data (View Presentation) - Dan Liao, RTI International; Matthew Williams, Substance Abuse and Mental Health Services Administration; Sarra Hedden, Substance Abuse and Mental Health Services Administration; Rachel Harter, RTI International; Jiantong Wang, RTI International; Victoria Scott, RTI International
Keywords: time series; substance use; weighting; selection probabilities; clustering; stratification

Trend Analysis Using the National Crime Victimization Survey (View Presentation) - Shannan Catalano, Bureau of Justice Statistics
Keywords: National Crime Victimization Survey; historical trends; federal statistical agency; Joinpoint; trend analysis; non-parametric

Development of Data Products and Adjustment Methods to Allow for the Evaluation of Historical Trends in the National Crime Victimization Survey (View Presentation) - Andrew Moore, RTI International; Marcus Berzofsky, RTI International
Keywords: Trends; NCVS

Time Trend Analysis with Complex Survey Data - Morgan Earp, U.S. Bureau of Labor Statistics; Daniell Toth, US Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
Keywords: Bureau of Labor Statistics; Job Openings and Labor Turnover Survey; Regression Trees; Response Rates; Panel Survey; Longitudinal Survey

Session 462 SPEED: Survey Research Methods — Contributed Speed
Chair(s): Shelley Brock-Roth, Westat

Sampling Methodology and Coverage Issue for a National School-Based Survey (View Presentation) - S. Sean Hu, CDC; Linda Neff, Centers for Disease Control and Prevention; Ronaldo Iachan, ICF International; Kate Flint, ICF International; Alice Roberts, ICF International; Karen Cullen, Food and Drug Administration
Keywords: Sampling; Survey; School-based

Comparing Alternative Methods for the Random Selection of a Respondent Within a Household for Online Surveys - Geneviève Vézina, Statistics Canada; Pierre Caron, Statistics Canada
Keywords: age-order; last birthday; full enumeration; rostering; online survey; within-household selection

Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance (View Presentation) - Lori Rothenburg, North Carolina State University; A Blanton Godfrey, North Carolina State University; Brian Hanninen, Evaluation Café
Keywords: Estimation; Compliance; Sampling; Cluster sampling; Stratified cluster sampling

The Link Between Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel (View Presentation) - Bella Struminskaya, Utrecht University; Tobias Gummer, GESIS - Leibniz Institute for the Social Sciences
Keywords: length of field period; risk of nonresponse bias; mixed-mode panel; online panel

Highly Robust Multiple Imputation Models Using BART (View Presentation) - Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
Keywords: missing data; double robustness; multiple imputation; BART; inverse propability weighting; National Automotive Sampling System

Multiple Imputation in Longitudinal Studies with Circularity (View Presentation) - Elizabeth Petraglia, Westat
Keywords: Chained equations; missing data; nearest neighbor; nonresponse

Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model (View Presentation) - Angelina Hammon
Keywords: missing data; missing not at random (MNAR); multiple imputation; fully conditional specification (FCS); selection model; bivariate probit model

Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys (View Presentation) - Maya Sternberg, Centers for Disease Control & Prevention
Keywords: NHANES; Multuple Imputation; Assay

Donor Selection for MCBS Asset Imputation (View Presentation) - Maya Sternberg, Centers for Disease Control & Prevention
Keywords: Kanru Xia, NORC; Meimeizi Zhu, NORC; Cheryl L. Sharpless, CMS; John C. McCormick, CMS; Edward Mulrow, NORC

Imputation of Missing Data in Surveys and Studies in Dental Research (View Presentation) - Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
Keywords: Health surveys; Multiple imputation; Oral health; Survey weighting; Non response bias; Hot deck imputation

Evaluating Imputation Techniques for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign - Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
Keywords: Missing Data; Truth Initiative; Hot Deck Imputation; Multiple Imputation; Evaluation Nonresponse Bias

A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems - Kimberly Ault, RTI International; Laura Smith, RTI International; Harper Gordek, RTI International; Wayne Anderson, RTI International
Keywords: Clustering; Decision Trees; Distance Functions

Imputation Classes as a Framework for Inferences From Non-random Samples (View Presentation) - Vladislav Beresovsky, National Center for Health Statistics
Keywords: nonrandom samples; propensity score; predictive model; imputation class; adjusted jackknife; double robustness

Investigating the Performance of Inverse Sampling for Model Estimation (View Presentation) - Zachary Haskell Seeskin, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Edward Mulrow, NORC
Keywords: Analysis of complex survey data; Resampling; Public use data

The Heckman Selection Model with Complex Survey Data (View Presentation) - Michael Machiorlatti, University of Oklahoma Health Sciences Center; Sixia Chen; Dr. Sara Vesely, The University of Oklahoma Health Sciences Center
Keywords: Heckman; Survey; Weighting; Sampling

Analysis of Familial Aggregation with Complex Survey Data - Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute
Keywords: familial aggregation; network sampling; recurrence risk; propensity score weighting; varying family sizes; different family relationships

Effect Modifications of Blood Lead-Cardiovascular Disease Mortality Association by Time-Related Factors Studied Using NHANES Linked Mortality Files - Yutaka Aoki, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics
Keywords: cardiovascular disease mortality; survival analysis; NHANES; biomarker; Cox regression

MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION - Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs
Keywords: Hierarchical Regression; Bayesian; Election Polling; Weighting; Survey Research

Session 472: Imputation and Nonresponse Bias — Contributed Papers
Chair(s): Will Cecere, Westat

Assessing the Impact of the Final Housing Unit Followup on the 2010 Census Coverage Measurement Housing Unit Estimates (View Presentation) - Michael Beaghen; Anne M Wakim, U.S. Census Bureau
Keywords: imputation; Post-Enumeration Survey; Dual System Estimation

Missing Data Imputation Using Regression and Classification Tree Software GUIDE (View Presentation) - Hyunshik Lee, Westat
Keywords: Tree algorithm; item missing data; imputation model; AutoImpute

Differentiated Effects of Data Analyses on Between- and Within-Imputation Variances in Multiple Imputation (View Presentation) - Qiyuan Pan, NCHS/CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics
Keywords: Multiple imputation; Impact of multiple imputation; Missing data; Between-imputation variance; NAMCS

Balancing Bias, Precision, and Sample Size Recovered in Determining a Practical Missing Data Imputation Approach (View Presentation) - Laney Light; Frost Hubbard, IMPAQ International, LLC; Katherine Harris, IMPAQ International, LLC
Keywords: imputation; missing data; quality of life; kidney disease; simulation

The MEPS Medical Organizations Survey: Lessons Learned on Non-Response and Data Quality from a Linked Survey Data Collection Strategy (View Presentation) - Monica Wolford, Agency for Healthcare Research & Quality; Adam Biener, Agency for Healthcare Research and Quality; Marie Stagnitti, Agency for Healthcare Research and Quality
Keywords: Medical Expenditure Panel Survey (MEPS); Nonresponse; Survey design; Establishment survey; Medical Practices

Correlates of Nonresponse in the 2010 and 2012 Medical Expenditure Panel Survey (View Presentation) - Frances Chevarley, Agency for Healthcare Research and Quality; William Mosher, Johns Hopkins University (formerly NCHS)
Keywords: Medical Expenditure Panel Survey (MEPS); National Health Interview Survey (NHIS); nonresponse

Attrition and Its Implications in the National Longitudinal Survey of Youth 1979 (View Presentation) - Alison Aughinbaugh, U.S. Bureau of Labor Statistics; Charles R. Pierret, U.S. Bureau of Labor Statistics; Donna S. Rothstein, U.S. Bureau of Labor Statistics
Keywords: attrition; longitudinal

Session 482: Recent Developments in Survey Sampling: Session in Honor of J.N.K. Rao's 80th Birthday — Invited Papers
Organizer(s): David Haziza, University of Montreal
Chair(s): David Haziza, University of Montreal

Empirical Likelihood Inference for Complex Surveys and the Design-Based Oracle Variable Selection Theory (View Presentation) - Changbao Wu, University of Waterloo; Puying Zhao, University of Waterloo; David Haziza, University of Montreal
Keywords: survey weighted estimating equations; non-smooth estimating functions; quantile regression; model building; variable selection; design-based inference

The Interplay Between the Practice and Theory of Survey Sampling: Past, Present, and Future - Graham Kalton, Westat
Keywords: systematic sampling; stratified sampling; multi-stage sampling; two-phase sampling; imputation; calibration

Session 498: Improving Data Quality and Estimation Methods for the Current Employment Establishment Survey — Topic Contributed Papers
Organizer(s): Greg Erkens, Bureau of Labor Statistics
Chair(s): Julia Bienias, Nielsen

Bootstrap Approach to the Application of First-Digits Analysis (View Presentation) - Matthew Corrigan, U.S. Bureau of Labor Statistics; Kevin Roche, U.S. Bureau of Labor Statistics
Keywords: First-Digits; Benford's; Curb-Stoning; Bootstrap; Stratified Subsampling

Statistical Agency Use of Macro Editing in Industry-Area Employment Estimation (View Presentation) - Taylor Le, U.S. Bureau of Labor Statistics; Rose Nicolas, Bureau of Labor Statistics; Lee Baker, Bureau of Labor Statistics
Keywords: Small area estimation; Monthly employment data; Outlier detection

Construction and Assessment of Generalized Variance Functions for an Establishment Survey (View Presentation) - Kevin Roche, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
Keywords: Establishment survey; Balanced Repeated Replication; Generalized Variance Functions; R; Cluster Variables

Testing Models for Weight Smoothing in the Current Employment Statistics Survey (View Presentation) - Christopher Grieves, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
Keywords: sampling weights; extreme observation; small area; bayesian

Session 516: Estimation with Complex Samples — Contributed Papers
Chair(s): Julia Bienias, Nielsen

Evaluation of a New Approach for Estimating the Number of U.S. Farms - Habtamu Benecha, USDA National Agricultural Statistics Service; Denise A Abreu, USDA/NASS; Linda J. Young, USDA National Agricultural Statistics Service
Keywords: Misclassification Error; Area-frame; List-frame; Logistic Regression; Capture-recapture

On the Development of a Parametric Approach for the Estimation of Totals and Means for Complex Survey Sample Data in the Presence of Full Response - Ismael Flores Cervantes, Westat
Keywords: Parametric estimation of totals; model-assisted estimation; design-based estimation; complex survey sample data; model misspecification; efficient estimators

Analyzing Residuals in a Survey Logistic Model with SAS (View Presentation) - Bogdan Gadidov, Kennesaw State University
Keywords: Residuals; Survey Logistic; Simulation; SAS

Confidence Intervals for Population Attributable Fractions Using Complex Survey Data (View Presentation) - Akhil Vaish, Research Triangle Institute; Olga Khavjou, Research Triangle Institute
Keywords: SUDAAN; VARGEN; population attributable fraction; Taylor series linearization (delta method); survey variance estimation; confidence intervals

Bootstrap Confidence Interval Bands for Estimates in Measurement Error Model with Linked NHIS and EPA Data - Rong Wei, NCHS / CDC; Pavlina Rumcheva, NCHS/CDC; Van Parsons, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics; Ambarish Vaidyanathan, NCEH/CDC
Keywords: bootstrap confidence interval; measurement errors; health status; air quality system (AQS); linked complex survey data; heteroscedastic error

Session 530 SPEED: Survey Research Methods — Contributed Poster Presentations
Chair(s): Jessi Cisewski, Yale University

Sampling Methodology and Coverage Issue for a National School-Based Survey - S. Sean Hu, CDC; Linda Neff, Centers for Disease Control and Prevention; Ronaldo Iachan, ICF International; Kate Flint, ICF International; Alice Roberts, ICF International; Karen Cullen, Food and Drug Administration
Keywords: Sampling; Survey; School-based

Comparing Alternative Methods for the Random Selection of a Respondent Within a Household for Online Surveys - Geneviève Vézina, Statistics Canada; Pierre Caron, Statistics Canada
Keywords: age-order; last birthday; full enumeration; rostering; online survey; within-household selection

Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance - Lori Rothenburg, North Carolina State University; A Blanton Godfrey, North Carolina State University; Brian Hanninen, Evaluation Café
Keywords: Estimation; Compliance; Sampling; Cluster sampling; Stratified cluster sampling; Transit

The Link Between Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel - Bella Struminskaya, Utrecht University; Tobias Gummer, GESIS - Leibniz Institute for the Social Sciences
Keywords: Estimation; Compliance; Sampling; Cluster sampling; Stratified cluster sampling; Transit

Highly Robust Multiple Imputation Models Using BART - Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
Keywords: missing data; double robustness; multiple imputation; BART; inverse propability weighting; National Automotive Sampling System

Multiple Imputation in Longitudinal Studies with Circularity - Elizabeth Petraglia, Westat
Keywords: Chained equations; missing data; nearest neighbor; nonresponse

Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model - Angelina Hammon
Keywords: missing data; missing not at random (MNAR); multiple imputation; fully conditional specification (FCS); selection model; bivariate probit model

Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys - Maya Sternberg, Centers for Disease Control & Prevention
Keywords: NHANES; Multuple Imputation; Assay

Donor Selection for MCBS Asset Imputation - Kanru Xia, NORC; Meimeizi Zhu, NORC; Cheryl L. Sharpless, CMS; John C. McCormick, CMS; Edward Mulrow, NORC
Keywords: Imputation; MCBS

Imputation of Missing Data in Surveys and Studies in Dental Research - Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
Keywords: Health surveys; Multiple imputation; Oral health; Survey weighting; Non response bias; Hot deck imputation

Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign - Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
Keywords: Missing Data; Hot Deck Imputation; Multiple Imputation; Evaluation; Nonresponse Bias

A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems - Kimberly Ault, RTI International; Laura Smith, RTI International; Harper Gordek, RTI International; Wayne Anderson, RTI International
Keywords: Clustering; Decision Trees; Distance Functions

Imputation Classes as a Framework for Inferences From Non-random Samples - Vladislav Beresovsky, National Center for Health Statistics
Keywords: nonrandom samples; propensity score; predictive model; imputation class; jackknife with missing data

Investigating the Performance of Inverse Sampling for Model Estimation - Zachary Haskell Seeskin, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Edward Mulrow, NORC
Keywords: Analysis of complex survey data; Resampling; Public use data

The Heckman Selection Model with Complex Survey Data - Michael Machiorlatti, University of Oklahoma Health Sciences Center; Sixia Chen; Dr. Sara Vesely, The University of Oklahoma Health Sciences Center
Keywords: Heckman; Survey; Weighting; Sampling

Analysis of Familial Aggregation with Complex Survey Data - Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute
Keywords: familial aggregation; network sampling; recurrence risk; propensity score weighting; varying family sizes; different family relationships

Effect Modifications of Blood Lead-Cardiovascular Disease Mortality Association by Time-Related Factors Studied Using NHANES Linked Mortality Files - Yutaka Aoki, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics
Keywords: cardiovascular disease mortality; survival analysis; NHANES; biomarker; Cox regression

MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION - Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs
Keywords: Hierarchical Regression; Bayesian; Election Polling; Weighting; Survey Research

Session 563: Multiple Imputation for Measurement Errors and Other Structured Patterns of Missing Data — Topic Contributed Papers
Organizer(s): Philipp Gaffert, GfK SE
Chair(s): Hans Kiesl, Ostbayerische Technische Hochschule, Regensburg

Multiple Imputation for Handling Measurement Errors (View Presentation) - Trivellore Raghunathan, University of Michigan School of Public Health
Keywords: Ignorable Mechansim; Missing Data; Bayesian apporach; Model Checking; Model Selection; Calibration

Data Fusion for Correcting Measurement Errors (View Presentation) - Maria DeYoreo; Jerry Reiter, Department of Statistical Science, Duke University; Tracy Schifeling, Duke
Keywords: fusion; imputation; measurement error; missing; survey

Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence (View Presentation) - Volker Bosch, GfK SE; Philipp Gaffert, GfK SE
Keywords: data fusion; statistical matching; conditional independence assumption; measurement error model

Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial (View Presentation) - Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
Keywords: multiple imputation; sensitivity analysis; Bayesian inference; missing data; pattern-mixture model

How Suited Is Propensity Score Matching for Combining Data from Different Sources? - Florian Meinfelder, Universitaet Bamberg
Keywords: Propensity Score Matching; Statistical Matching; Data Fusion; Missing-by-Design

Session 586: Weighting and Variance Estimation — Contributed Papers
Chair(s): Jonathan Lisic, USDA/NASS

A Review of Weighting Assumptions for Geosampling-Based Survey Designs: a Case Study in Nigeria - Jennifer Unangst, RTI International; Safaa Amer, RTI International
Keywords: Geosampling; Survey; Clustering; Weighting

One-Versus Two-Step Approaches to Survey Nonresponse Adjustments (View Presentation) - Robert Fay, Westat; Minsun Riddles, Westat
Keywords: Geosampling; Survey; Clustering; Weighting

Collapsing Weighting Adjustments in the National Immunization Survey (NIS) - Is There an Advantage? (View Presentation) - Elizabeth Ormson, NORC at the University of Chicago; Philip J. Smith, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Qiao Ma, NORC at the University of Chicago
Keywords: weighting; estimation; NIS; telephone; survey; variance

Variance When Using Weights for Full Probability Sample to Analyze Arbitrarily Combined Sub-Samples: NHANES 2011 - 2014 (View Presentation) - Rey deCastro, Centers for Disease Control & Prevention
Keywords: sample weights; bootstrap; variance estimation; survey data analysis

A Comparison of Variance Estimates Using Random Group and Taylor Series Methods for a Large National Survey of Businesses (View Presentation) - Sadeq R Chowdhury, Agency for Healthcare Research and Quality; David Kashihara, Agency for Healthcare Research and Quality
Keywords: Variance Estimation; Random Group; Taylor Series; MEPS

Survey Designs with Small Stratum Sample Sizes - Xiaofei Zhang, Iowa State University; Emily Berg, Iowa State University; Wayne A. Fuller, Iowa State University
Keywords: Survey design; stratified sampling; design variance

Variance Estimation for Trend of Nurse Diversity Using ACS PUMS Data 2000-2015 (View Presentation) - Tiandong Li, HRSA
Keywords: ACS PUMS; variance estimation; trend analysis

Session 214779: Survey Research Methods Section Business Meeting — Other Cmte/Business
Chair(s): Elaine Zanutto, Naxion Research and Consulting

Session 593: Multiple Imputation for Complex Health Survey Data — Invited Papers
Organizer(s): Joseph Kang, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
Chair(s): Yulei He, National Center for Health Statistics

Enhancing the NHANES CMS Medicaid Linked Data with Multiple Imputation - Jennifer R Rammon, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics; Yulei He, National Center for Health Statistics
Keywords: Multiple Imputation; Data Linkage; NHANES; Medicaid; children

Calibrated Multiple Imputation - Joseph Kang, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention; Yulei He, National Center for Health Statistics; Precious Esie, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Jaeyoung Hong, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Kyle Bernstein, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB
Keywords: Multiple imputation; Calibration; Complex Survey; Weights

Gaussian-based routines for imputing categorical variables in complex data (View Presentation) - Recai M. Yucel, SUNY-Albany

Session 613: Practical Applications of Small Area Estimation — Topic Contributed Papers
Organizer(s): Andreea L Erciulescu, NISS and USDA NASS
Chair(s): Michael E. Bellow, USDA-NASS

Small Area Estimates for End-Of-Season Agricultural Quantities (View Presentation) - Andreea L Erciulescu, NISS and USDA NASS; Nathan Cruze, USDA-NASS; Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Auxiliary information; Bayes Estimates; Crop estimates; End-of Season Yield; Multiple Stage Benchmarking; Official Statistics

Measurement Error in Small Area Estimation: Functional vs. Structural vs. Naive Models (View Presentation) - William Bell, U.S. Census Bureau; Gauri Datta, University of Georgia and US Census Bureau; Carolina Franco, U.S. Census Bureau; Hee Cheol Chung, University of Georgia
Keywords: sample survey; area level model; covariate; prediction

Hierarchical Bayesian Models for Noisy Size Responses from Small Areas (View Presentation) - Binod Manandhar, Worcester Polytechnic Institute
Keywords: GB2 distribution; Generalized gamma distribution; Logarithmic transformation; Markov chain Monte Carlo; Skewed distribution

Bayesian analysis of sparse counts under the unrelated question design - Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Laten variables; Data augmentation; Gibbs sampler; Non-identifiable parameters; Proportion; Rao-Blackwellized estimates

A Multinomial and a Uniform Unit-Level Model for Small Area Estimation - Donald Malec, National Center for Health Statistics
Keywords: Nonparametric Bayes

Session 627: Estimation with Nonprobability Samples — Contributed Papers
Chair(s): Ashley Clark, Indiana University

The Use of Propensity Weight Adjustments for a Mobile Panel Sample (View Presentation) - Ronaldo Iachan, ICF International; John Boyle, ICF; Robert Tortora, ICF; Yangyang Deng, ICF
Keywords: propensity models; non-probability sample; weighting; matching

Estimation from Purposive Samples with the Aid of Probability Supplements but Without Data on the Study Variable (View Presentation) - Avinash Singh, American Institutes for Research; Vladislav Beresovsky, National Center for Health Statistics; Cong Ye, American Institutes for Reserach
Keywords: REG with estimated sample inclusion propensity; GREG with imputed outcome variable; MAR-type assumption for nonselected units in purposive samples; prediction estimator

Combining Probability and Non-Probability Samples Using Small Area Estimation (View Presentation) - Nadarajasundaram Ganesh, NORC at the University of Chicago; Adrijo Chakraborty, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; J. Michael Dennis, NORC at the University of Chicago
Keywords: AmeriSpeak Panel; composite estimator; EBLUP; non-probability sample; Small Area Estimation; web survey

Blending of Probability and Convenience Samples as Applied to a Survey of Military Caregivers (View Presentation) - Michael Robbins, RAND Corporation
Keywords: Inverse probability weighting; Calibration; Propensity scores; Military caregivers

Correcting for the Multiplicity Issue in a Probability Sample of Homeless Youth (View Presentation) - Daniela Golinelli, Mathematica Policy Research; Joan Tucker, RAND; William Shadel, RAND
Keywords: hard to reach population; homeless youth; location sampling; multiplicity; sampling weights

Assessment of Bias in Estimates using Data from a Sample of Self-Reported Web Users - Meena Khare, NCHS/CDC
Keywords: Web Surveys; non-probability surveys; NHIS; Internet users; Email users

Session 632: Using Big Data to Improve Official Economic Statistics — Invited Papers
Organizer(s): Carma R Hogue, U.S. Census Bureau
Chair(s): Carma R Hogue, U.S. Census Bureau

Using Passive Data Collection, System-to-System Data Collection, and Machine Learning to Improve Economic Surveys (View Presentation) - Brian Arthur Dumbacher, U.S. Census Bureau; Demetria Hanna, U.S. Census Bureau
Keywords: Big Data; official statistics; economic statistics; data collection; public-private partnerships

Using Big Data to Enhance US Census Bureau Economic Data Products - Rebecca Hutchinson, US Census Bureau; Scott Scheleur, US Census Bureau
Keywords: Big Data; Official Statistics; Retail

Improving Regional Personal Consumption Expenditure Estimates Using Credit Card Transaction Data (View Presentation) - Abe Dunn, Bureau of Economic Analysis; Ledia Guci, Bureau of Economic Analysis; Mahsa Gholizadeh, Bureau of Economic Analysis; Bryn Whitmire, Bureau of Economic Analysis
Keywords: Regional Personal Consumption; Personal Consumption Flow; Credit Card Data

Session 638: Recent Development of Bayesian Methods in Survey Sampling — Invited Papers
Organizer(s): Yajuan Si, University of Wisconsin-Madison
Chair(s): Joseph Sedransk, University of Maryland

Bayesian Model Averaging in Multiple Imputation Under Informative Sampling (View Presentation) - Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
Keywords: Bayesian model averaging; Complex sampling design; Multiple imputation; Spike-and-slab prior

Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression - Qixuan Chen, Columbia University; Yutao Liu, Columbia University
Keywords: Bayesian modeling; penalized spline regression; population quantiles; skew-normal distribution; Stan

Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys - Yajuan Si, University of Wisconsin-Madison
Keywords: Survey weighting; Bayesian; Multilevel regression; Poststratification; Structural prior

Session 652: Improving Efficiency and Maintaining High Data Quality: Outcomes for the 2017 Survey of Consumer Finances — Topic Contributed Papers
Organizer(s): Catherine C Haggerty, NORC University of Chicago
Chair(s): Steven Pedlow, NORC at the University of Chicago

Elusive Respondents: Characteristics and Interventions (View Presentation) - Catherine C Haggerty, NORC University of Chicago; Kate Bachtell, NORC University of Chicago; Becky Curtis, NORC University of Chicago; Karen Veldman, NORC University of Chicago; Shannon Nelson, NORC University of Chicago; Ella Kemp, NORC University of Chicago
Keywords: elusive respondents; paradata

Propensity Modeling for Early Respondent Incentive Escalation (View Presentation) - Kate Bachtell, NORC University of Chicago; Catherine C Haggerty, NORC University of Chicago; Becki Curtis, NORC at the University of Chicago; Shannon Nelson, NORC University of Chicago; Joanne Hsu, Federal Reserve Board; Jesse Bricker, Federal Reserve Board; Kevin Moore, Federal Reserve Board
Keywords: survey; gaining cooperation; incentives; propensity modeling

Hesitant Respondents and Data Quality on a Financial Survey (View Presentation) - Shannon Nelson, NORC University of Chicago; Catherine C Haggerty, NORC University of Chicago; Richard Windle, Board of Governors of the Federal Reserve System
Keywords: survey; gaining cooperation; incentives; propensity modeling

A Practical Exploration of Relationships Between Physical Barriers to Entry and Successful Contact Attempts (View Presentation) - Katherine Archambeau, NORC at the University of Chicago; Rebecca Curtis, NORC at the University of Chicago; Kate Bachtell, NORC University of Chicago; Steven Pedlow, NORC at the University of Chicago; Catherine C Haggerty, NORC University of Chicago; Kevin Moore, Federal Reserve Board; Jesse Bricker, Federal Reserve Board
Keywords: Survey of Consumer Finances (SCF); Entry Barriers; Interviewer Training; Survey Cooperation

Within Household Gatekeepers and Obstacles to Survey Participation (View Presentation) - Micah Sjoblom, NORC; Catherine C Haggerty, NORC University of Chicago; Karen Veldman, NORC University of Chicago; Anna Joyce, NORC; Kevin Moore, Federal Reserve Board
Keywords: Household Surveys; Hard to Reach; Non Response

Session 668: Estimation with Statistical Models — Contributed Papers
Chair(s): Jerry Arnold

Evaluation of Medical Care Event Reporting in a National Household Survey (View Presentation) - Jerrod Anderson, AHRQ; Emily Mitchell, Agency for Healthcare Research and Quality; Adam Biener, Agency for Healthcare Research and Quality
Keywords: AHRQ; healthcare utilization; machine learning; MEPS; survey analysis; validation data

Seasonal Adjustment of the QTAX (View Presentation) - Eric Valentine, US Census Bureau; Kathleen McDonald, US Census Bureau; Demetra Lytras, US Census Bureau; Katherine Thompson, US Census
Keywords: Time Series; Seasonal Adjustment; X-11; SEATS; Diagnostic; Stability

Outlier Robust Estimation of the Total Private Cost of Payment Methods for Large Businesses (View Presentation) - Valery Dongmo Jiongo, Bank of Canada
Keywords: Conditional bias; Parametric bootstrap; Mean square errors; Combining samples; Total private costs; Outliers

Model-Calibration Estimator Using Time-To-Event Models - Benjamin Reist, U.S. Census Bureau

Extending Hansen and Hurwitz's Approach for Nonresponse in Sample Survey (View Presentation) - Abdellatif Demnati, Independent Researcher
Keywords: Event history analysis; Mixed-mode surveys; Partially classified responses; Two-phase data collection

Missing Values in Linear Dynamic Panel Models - a Bayesian Approach Towards Model Comparison (View Presentation) - Marcel Preising, University of Bamberg; Christian Abmann, University of Bamberg
Keywords: Missing Data; Linear Dynamic Panel Models; Data Augmentation; Marginal Likelihood; Fixed Effects; Random Effects

Semiparametric Adaptive Estimation with Nonignorable Nonresponse Data (View Presentation) - Kosuke Morikawa, Osaka University; Jae-kwang Kim, Iowa State University
Keywords: Estimating functions; Identification; Incomplete data; Not missing at random (NMAR); Semiparametric Efficient Estimation

American Association for Public Opinion Research 2017
New Orleans, Louisiana, May 18 - May 21, 2017

Are You Really Who You Say Are? Two Case Studies Exploring Respondent-Reported Misclassification - Kenneth M. Pick, USDA National Agricultural Statistics Service; Sarah Goodale, USDA National Agricultural Statistics Service; Audra Zakzeski, USDA National Agricultural Statistics Service
Keywords: misclassification, measurement error, coverage error, questionnaire design

Impact of Email Tone on Web-Survey Participation among Young Adult Lesbian, Gay, Bisexual, and Transgender (LGBT) Respondents - Kristine Wiant, RTI International; Patricia LeBaron, RTI International; Leah Fiacco, RTI International; Gretchen McHenry, RTI International; Janine Delahanty, Center for Tobacco Products
Keywords: Web-survey, response rates, generation z

Response Rate Projections for Household Screeners vs. Questionnaires: Can the Same Model Be Used for Both? - Katie Archambeau, NORC at the University of Chicago; Rebecca Curtis, NORC at the University of Chicago; Ned English, NORC at the University of Chicago, Chicago; Colm O'Muircheartaigh, University of Chicago Harris School of Public Policy
Keywords: response rates, projections, monitoring, screening, indicators

Managing Respondent Burden for a Panel Using Permanent Random Number Sampling - N. Ganesh, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; J. Michael Dennis, NORC at the University of Chicago, Palo Alto, CA
Keywords: AmeriSpeak Panel, permanent random number sampling, panel sample, web survey

Safety Screening in the NIS RDD Cell-Phone Sample - Becky Reimer,; NORC at the University of Chicago; Benjamin Skalland,; NORC at the University of Chicago, Chicago, IL; Jacquelyn George,; NORC at the University of Chicago; Qiao Ma,; NORC at the University of Chicago; James A. Singleton,; National Center for Infectious and Respiratory Diseases
Keywords: National Immunization Surveys, Cell Phones, RDD, Safety Screening, Ethics, Institutional Review Board

Testing the Impact of Mail Materials on Web Participation in the National Immunization Survey - Benjamin Skalland, NORC at the University of Chicago, Chicago, IL; Jacquelyn George, NORC at the University of Chicago; Vince Welch, NORC at the University of Chicago; Holly A. Hill, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention; Laurie Elam-Evans, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention; Cynthia Knighton, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention; Chalanda Smith, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention
Keywords: National Immunization Survey-Child, National Immunization Survey-Teen, Web Surveys, Mail Materials

Surveying Rare or Hidden Populations Using a Probability-Based Household Panel - Vicki Pineau, NORC at the University of Chicago; J. Michael Dennis, NORC at the University of Chicago, Palo Alto, CA; Stuart Michaels, NORC at the University of Chicago; Sherry Emery, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago
Keywords: Network Sampling, Respondent Driven Sampling, Rare and Hidden Populations, LGBT

Designing a Household Survey of Occupational Injuries and Illness: Converting the SOII into the HSOII - Lisa Lee, NORC at the University of Chicago; Kristen Neishi, NORC at the University of Chicago; David Gleicher, NORC at the University of Chicago; Robin L. Kaplan, US Department of Labor, Bureau of Labor Statistics; Nola du Toit, NORC at the University of Chicago; Kennon R. Copeland, NORC at the University of Chicago
Keywords: questionnaire design, cognitive interviewing, measurement error

Panel Recruitment for Spanish Speaking Populations: the Amerispeak Case Study - Ilana Ventura, NORC at the University of Chicago; Rene Bautista, NORC at the University of Chicago; David Gleicher, NORC at the University of Chicago; Carolina Milesi, NORC at the University of Chicago; Carolina Hendarwan, NORC at the University of Chicago
Keywords: in-depth interviews, material design, focus groups, bilingual, panel recruitment

Interviewer Attitudes toward Respondent Persuasion: the Impact on Production - Laura Machingo, RTI International; Barbara Forsyth, Substance Abuse and Mental Health Services Administration; Gretchen McHenry, RTI International; Grace Medley, Substance Abuse and Mental Health Services Administration; Breda Munoz, RTI International; Stephanie Parker, RTI International; Stephanie Terrey, RTI International; Cristina Touarti, RTI International
Keywords: response rates, interviewer behavior, persuasion

Evaluation of Classification Error in a Survey on Sexual Assault among College Students - Marcus Berzofsky, RTI International; Chris Krebs, RTI International; Christine Lindquist, RTI International; Michael Planty, RTI International; Lynn Langton, Bureau of Justice Statistics
Keywords: latent class analysis, college students, sexual assault, classification error, measurement error

Multi-Field Testing: Examples from the 2017 Census of Agriculture Dry Run - Jaki McCarthy, USDA - National Agricultural Statistics Service
Keywords: field test, questionnaire testing, split sample, presurvey contact

Propensity Stratification with Auxiliary Data for Address-Based Sampling Frames - Jamie L. Ridenhour, RTI International; Joseph P. McMichael, RTI International
Keywords: address-based sampling, ABS, propensity stratification

Mail Survey Experiments: Reminder Poscard and UPS Mail Innovation Envelope - Melissa Helton, RTI International; Joseph P. McMichael, RTI International; Jamie L. Ridenhour, RTI International
Keywords: mail survey, envelope experiment, postcard experiment

Latent Class Analysis of Worker Knowledge of Their Employment Status - Stanislav Kolenikov, Abt Associates Kelly Daley
Keywords: survey methodology, latent class model, questionnaire design, measurement error, employment, categorical data analysis

Cognitive Interviews for Questionnaire Development in the NSHAP Wave 3 Elder Mistreatment Module - Bernard Dugoni, PhD, NORC at the University of Chicago; Melissa J.K. Howe, NORC at the University of Chicago; Nola du Toit, NORC at the University of Chicago Kelly Pudelek NORC at the University of Chicago
Keywords: cognitive interviewing, surveys, aging