Proceedings of the Joint Statistical Meetings 2019 Survey Research Methods Section
Denver, Colorado, United States of America, July 27 - August 1, 2019

Session 13: Multinational, Multiregional, and Multicultural Surveys (3MC): a Burgeoning Sub-Discipline in Survey Research Methods — Invited Papers
Organizer(s): Kristen Cibelli Hibben, University of Michigan
Chair(s): Julie de Jong, University of Michigan

An Introduction to 3MC Surveys, the State-Of-The-Art, and Key Challenges — Johnson Timothy, University of Illinois at Chicago; Beth-Ellen Pennell, University of Michigan, Survey Research Center; Ineke Stoop, The Netherlands Institute for Social Research; Brita Dorer, GESIS
Keywords: international survey research; cross-cultural survey research; 3MC surveys

Error Sources and Quality Management in 3MC Surveys — Zeina Mneimneh, University of Michigan, Survey Research Center; Julie de Jong, University of Michigan; Kristen Cibelli Hibben, University of Michigan
Keywords: comparative surveys; Total Survey Error; 3MC; interviewer error; cross-cultural; data quality

Quality Procedures to Maximize Comparability – Experiences from the European Social Survey — Rory Fitzgerald, European Social Survey; Sarah Butt, European Social Survey
Keywords: international survey research; comparative survey research; Cross-cultural survey research

Making the Case for 3MC Surveys as a Subdiscipline in Survey Research — Lars Lyberg, Inizio; Frauke Kreuter, Joint Program in Survey Methodology
Keywords: International survey research; 3MC surveys; Cross-cultural survey research

Session 29: SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 1 — Topic Contributed
Chair(s): Georgiy Bobashev, Research Triangle Institute

Frame Development and Sample Design for the 2018 National Survey of Children's Health (View Presentation) — Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
Keywords: administrative records; stratified sampling; oversampling; mail and web survey

A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys (View Presentation ) — Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
Keywords: selection bias; missing not at random; statistical learning; gradient boosting method

A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units (View Presentation) — Padraic Murphy, U.S. Census Bureau
Keywords: clustering criteria; multi-stage sampling; stratification; first stage sampling variance

Statistical Data Integration and Inference via Multilevel Regression and Poststratification (View Presentation) — Yajuan Si, University of Michigan
Keywords: Multilevel Regression and Poststratification; Data Integration; Weighting; Inference

Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems — Daniel Graham, Imperial College London
Keywords: mass transit; smart card; vehicle location; prediction; semiparametric regression; machine learning

The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis (View Presentation) — Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
Keywords: Functional Data Analysis; Functional Principal Component Analysis; On-road study; Driver behavior; Driver workload

Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London — Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
Keywords: air quality; public transport; causal analysis; interrupted time series; regression discontinuity design

Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment (View Presentation) — Richard Windle, Federal Reserve Board
Keywords: financial; survey; data; quality; online; methods

Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations (View Presentation) — Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
Keywords: Cluster-stratified sampling;; Inverse-probability weighting; Program evaluation; Outcome-dependent sampling

Bayesian Uncertainty Estimation Under Complex Sampling (View Presentation) — Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
Keywords: pseudo-posterior; credible set; Stan; survey sampling; variance estimation

How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods — Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
Keywords: multimode data collection; ABS; address-based sampling; mode adjustment; nonresponse; health statistics

Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors (View Presentation) — Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
Keywords: Simulated data; Crash modification factor; Safety effects; Cross-sectional models; Artificial realistic data

Use of Matching Algorithms to Determine Unit Eligibility (View Presentation 1)(View Presentation 2) — Brandon Hopkins, RTI International; Kimberly Ault, RTI International
Keywords: fuzzy matching; sounds-like matching; automation

DOE Optimization of Managing Trip in Europe (View Presentation 1)(View Presentation 2) — Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
Keywords: DOE; Transportation; Statistics; Physics

Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation (View Presentation) — David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics

Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm (View Presentation) — Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
Keywords: Markov chain Monte Carlo; missing data; generalized linear model

Two-Step Estimation for Time Varying ARCH Models (View Presentation) — Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
Keywords: Asymptotic normality; B-spline; least squares; maximum likelihood; oracle efficiency

Session 41: Non-Probability Sample and Probability Sample Matters Under What Context? — Contributed Papers
Chair(s): Samantha Robinson, University of Arkansas

The Impact of Independence Assumption Violation in Capture Recapture Estimators of Catch from Electronic Reporting Systems (View Presentation) — Shalima Zalsha, Southern Methodist University; S. Lynne Stokes, Southern Methodist University; Benjamin M. Williams, University of Denver; Ryan P.A. McShane, Southern Methodist University
Keywords: Capture recapture; Non-probability samples; Fisheries; Electronic reporting; Recreational fisheries; Non-sampling errors

Bayesian Doubly Robust Adjustment for Finite Population Inference Using Big Data: Application to Naturalistic Driving Studies> (View Presentation) — Ali Rafei, Institute for Social Research, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
Keywords: Big Data; naturalistic driving study; doubly robust adjustment; pseudo-weighting; prediction model; Bayesian Additive Regression Trees

A Modified Two-Stage Sampling Scheme with Integrated Second Stage Sample (View Presentation) — Chia-Liang Weng; Chang-Tai Chao, National Cheng Kung University
Keywords: Sampling Strategy; Stratified Sampling; Cluster Sampling; Systematic Sampling; Allocation Method

Optimal Sample Design for Estimation of Catch from Electronically Reported Data (View Presentation) — Zhaoce Liu, Southern Methodist University; Lynne Stokes, Southern Methodist University
Keywords: Optimal Sample Design; Non-probability Sample; Ecological Sampling; Recreational Fishing

Weighting Matters: a Practical Application — Diane Hindmarsh, Bureau of Health Information NSW Australia; Carol Birrell, NIASRA; David Steel, NIASRA
Keywords: survey analysis; weighting; trimming

Session 63: Cryptocurrency Surveys: Challenges and Results from Central Banks — Topic Contributed Papers
Organizer(s): Kevin M. Foster, Federal Reserve Bank of Atlanta
Chair(s): Marcin M. Hitczenko, Federal Reserve Bank of Atlanta

Measuring Consumer Cryptocurrency Adoption and Use in the United States (View Presentation) — Kevin M. Foster, Federal Reserve Bank of Atlanta
Keywords: Survey methodology; Cryptocurrency; Bitcoin; Federal Reserve; Central banks

Ownership and Purchase Intention of Crypto-Assets – Results from an Austrian Survey — Helmut Stix, Oesterreichische Nationalbank
Keywords: crypto-currencies; crypto-assets; Bitcoin; trust; financial literacy; consumer survey

Economic Networks with Incentives: The Mobile Money Case in Ecuador — Ivan Rivadeneyra, University of Hawaii - Manoa; Daniel Suthers, University of Hawaii - Manoa; Ruben Juarez, University of Hawaii - Manoa
Keywords: mobile money; goverment incentives; Ecuador; economic behavior; network graphs

Bubbles in My Bitcoin: Results from the 2018 Bitcoin Omnibus Survey (View Presentation) — Gradon Nicholls, Bank of Canada; Christopher Henry, Bank of Canada; Kim Huynh, Bank of Canada; Mitchell Nicholson, Bank of Canada
Keywords: Bitcoin; digital currencies; financial services; bank notes

Session 89: SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 2 — Contributed Poster Presentations
Chair(s): Georgiy Bobashev, Research Triangle Institute

Frame Development and Sample Design for the 2018 National Survey of Children's Health — Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
Keywords: administrative records; stratified sampling; oversampling; mail and web survey

A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys — Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
Keywords: selection bias; missing not at random; statistical learning; gradient boosting method

A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units — Padraic Murphy, U.S. Census Bureau
Keywords: clustering criteria; multi-stage sampling; stratification; first stage sampling variance

Statistical Data Integration and Inference via Multilevel Regression and Poststratification — Yajuan Si, University of Michigan
Keywords: Multilevel Regression and Poststratification; Data Integration; Weighting; Inference

Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems — Daniel Graham, Imperial College London
Keywords: mass transit; smart card; vehicle location; prediction; semiparametric regression; machine learning

The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis — Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
Keywords: Functional Data Analysis; Functional Principal Component Analysis; On-road study; Driver behavior; Driver workload

The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis — Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
Keywords: Functional Data Analysis; Functional Principal Component Analysis; On-road study; Driver behavior; Driver workload

Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London — Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
Keywords: air quality; public transport; causal analysis; interrupted time series; regression discontinuity design

Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations — Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
Keywords: Cluster-stratified sampling;; Inverse-probability weighting; Program evaluation; Outcome-dependent sampling

Bayesian Uncertainty Estimation Under Complex Sampling — Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
Keywords: pseudo-posterior; credible set; Stan; survey sampling; variance estimation

How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods — Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
Keywords: multimode data collection; ABS; address-based sampling; mode adjustment; nonresponse; health statistics

Use of Matching Algorithms to Determine Unit Eligibility — Brandon Hopkins, RTI International; Kimberly Ault, RTI International
Keywords: fuzzy matching; sounds-like matching; automation

Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors — Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
Keywords: Simulated data; Crash modification factor; Safety effects; Cross-sectional models; Artificial realistic data

Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation — David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics

DOE Optimization of Managing Trip in Europe — Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
Keywords: DOE; Transportation; Statistics; Physics

Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm> — Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
Keywords: Markov chain Monte Carlo; missing data; generalized linear model

Two-Step Estimation for Time Varying ARCH Models — Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
Keywords: Asymptotic normality; B-spline; least squares; maximum likelihood; oracle efficiency

Session 96: Survey Research Methods Section A.M. Roundtable Discussion (Added Fee)— Roundtables AM Roundtable Discussion
Chair(s): Yang Cheng, US Census Bureau

Using Behavioral Insights to Increase Response Rates — Victoria A Velkoff, U.S. Census Bureau
Keywords: Behavioral insights; response rates; nudge; survey participation; incentives

Session 98: The Multiple Adaptations of Multiple Imputation — Invited Papers
Organizer(s): Joerg Drechsler, Institute for Employment Research
Chair(s): Joerg Drechsler, Institute for Employment Research

Multiple Imputation for Privacy Protection: Where Are We and Where Are We Going? (View Presentation) — Jerry Reiter, Duke University
Keywords: confidentiality; privacy; synthetic

Multiple Imputation Procedure for Record Linkage and Causal Inference to Estimate the Effects of Home-Delivered Meals (View Presentation) — Mingyang Shan, Brown University; Kali Thomas, Brown University; Roee Gutman, Brown University
Keywords: Multiple Imputation; Record Linkage; Causal Inference; Bayesian Analysis; Missing Data

Application of Multiple Imputation Methodology to Address Measurement Error Problems (View Presentation) — Trivellore Raghunathan, University of Michigan
Keywords: Bayesian Methods; Combining Information; Complex Surveys; Ignorable Mechanism; Combining rules; Repeated sampling properties

Session 138: Modeling Applications for Backcasting, Nowcasting and Forecasting — Contributed Papers
Chair(s): Andrew A White, National Center for Education Statistics

Using American Community Survey Data to Improve Estimates from Smaller Surveys Through Bivariate Small Area Estimation Models — Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau
Keywords: Bivariate Model; Fay-Herriot Model; Hierarchical Models; ACS

Small Area Estimation with Small Sample Size National Household Surveys: a Multilevel Regression and Poststratification Approach with FoodAPS (View Presentation) — Xingyou Zhang, Economic Research Service, USDA; Alisha Coleman-Jensen, Economic Research Service, USDA; Shelly Ver Ploeg, Economic Research Service, USDA; Mark Denbaly, Economic Research Service, USDA
Keywords: Small Area Estimation; Multilevel Regression and Poststratification; FoodAPS; Food Security

Model-Assisted Estimation of Mixed-Effect Model Parameters in Complex Surveys (View Presentation) — Eric Slud, U.S. Census Bureau
Keywords: Model-assisted; Survey Estimation; Variance components; Complex surveys; EM Algorithm; pseudo-likelihood

Consideration of Unsupervised Learning in the Detection of Systemic Errors Within the Current Employment Statistics Survey (View Presentation) — Matthew Corrigan, Bureau of Labor Statistics
Keywords: Establishment Survey; Total Survey Error; Mixture Modeling; flexmix

Model-Based Crop Yield Forecasting; Covariate Selection and Related Issues — Habtamu Benecha, NASS/USDA; Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service
Keywords: Variable selection; Yield forecasting; Composite estimation; Survey sampling; Bayesian hierarchical model

Variable Selection for Multinomial Logistic Regression Modeling to Assign One of Six Census Mindsets Using Big Data — Mary H. Mulry, U.S. Census Bureau; Yazmín A. García Trejo, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau
Keywords: 2020 Census; 2020 Census Communications Campaign; 2020 Census Barriers, Attitudes and Motivators Study; self-response

Mode Effect, Patient-Mix Adjustment, and Nonresponse Analysis in the Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) Survey (View Presentation) — Patrick Chen, RTI International; Shampa Saha, RTI International; Marjorie Hinsdale-Shouse, RTI International
Keywords: Mode Experiment; Mode Effect; Mixed Mode; Patient-Mix Adjustment; Nonresponse; CAHPS

Session 157:Big Survey Meets Big Data: Integrating Administrative Data into the American Community Survey — Topic Contributed Papers
Organizer(s): Victoria A Velkoff, U.S. Census Bureau
Chair(s): Victoria A Velkoff, U.S. Census Bureau

Broad Roles for Administrative and Third-Party Data in the ACS (View Presentation) — Jennifer Ortman, U.S. Census Bureau
Keywords: Administrative Records; Census Bureau; American Community Survey; Big Data; Administrative Data; Data Linkages

Preliminary Research Investigating the Use of Administrative Records in the American Community Survey (ACS) — Nikolas Pharris-Ciurej, U.S. Census Bureau
Keywords: Administrative Records; Survey methods; Survey Items; Big Data

Simulating ACS Housing Estimates Using Administrative Data — Robert Sawyer, U.S. Census Bureau
Keywords: Adminsitrative Records; Census Bureau; American Community Survey; Big Data; Administrative Data; Data Linkages

Measuring Income Using Administrative Data (View Presentation) — Jonathan L. Rothbaum, U.S. Census Bureau
Keywords: American Community Survey; Administrative Data; Synthetic Data

Incorporating Administrative Data in ACS Editing and Imputation Procedures (View Presentation) — Sandra Clark, U.S. Census Bureau
Keywords: administrative data; big data; data quality; item nonresponse; demographic data

Session 158:Inference with Non-Probability Sample Through Data Integration — Topic Contributed Papers
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Jae-kwang Kim, Iowa State University

Nonparametric Mass Imputation for Data Integration — Sixia Chen, University of Oklahoma Health Sciences Center; Jae-kwang Kim, Iowa State University; Shu Yang, North Carolina State University
Keywords: Complex Survey; Data integration; Kernel estimation; Mass imputation

A Data-Driven Approach to Cell Ratio Estimation for Item Nonresponse in Survey Sampling — Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University
Keywords: Data linkage; Imperfect linkage bias; Cell ratio imputation; Item nonresponse

A Kernel Weighting Approach to Improve Population Representativeness for Association Estimation (View Presentation) — Lingxiao Wang; Barry Graubard, National Cancer Institute; Hormuzd Katki, US National Cancer Institute; Yan Li, University of Maryland at College Park
Keywords: Nonprobability Cohort studies; Complex survey sample; Jackknife variance estimation; Kernel smoothing; Propensity score weighting; Taylor series linearization variance

General Purpose Multiply Robust Data Integration Procedure for Combining Probability and Non-Probability Samples — David Haziza, Université de Montréal; Sixia Chen, University of Oklahoma Health Sciences Center
Keywords: Data integration; Multilple robustness; Vaiance estimation; Non-probability samples

Session 169: SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control — Contributed Papers
Chair(s): Karol Krotki, RTI International

Accessing and Exploring NCES Survey and Administrative Data Through Self-Guided Online Training Modules (View Presentation 1)(View Presentation 2) — Andrew A White, National Center for Education Statistics
Keywords: education data; survey data; online dataset training; data access; complex survey design; online data tools

Hot Deck Imputation Cells for the American Housing Survey (View Presentation) — Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
Keywords: American Housing Survey; Hot Deck Imputation; Stepwise Logistic Regression

Calibration Weighting for Nonreporting Agencies in FBI’s National Incident Based Reporting System (View Presentation 1 )(View Presentation 2) — Philip Lee, RTI; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
Keywords: Administrative Data; Crime Statistics; Sample Representativeness; Auxiliary Data; Generalized Exponential Model

HIGHER ORDER CALIBRATED ESTIMATOR in TWO STAGE SAMPLING (View Presentation) — Veronica Salinas

Nurse Effects on Nonresponse to Survey-Based Biomeasures — Joseph Sakshaug, Institute for Employment Research / University of Mannheim; Alexandru Cernat, University of Manchester; Tarani Chandola, University of Manchester; James Nazroo, University of Manchester; Natalie Shlomo, University of Manchester
Keywords: health surveys; physical measurements; nonresponse; weighting; multilevel models

Carry Forward Imputation for Unit Non-Response After a Survey Redesign (View Presentation) — Kimberly Ault, RTI International
Keywords: multiple data sources; imputation; unit nonresponse; survey redesign

Effect of Monetary Incentives on Response Rates and Data Quality in a Survey of the U.S. Military (View Presentation) — David McGrath, Department of Defense (DOD)
Keywords: Incentive; Survey; Nonresponse; Military

Impact of Spatial Sampling on Survey Development and Analysis (View Presentation) — Atisha Amin, Ipsos; Beatrice Abiero, Ipsos
Keywords: Spatial Statistics; Sampling; Survey Research; Design; Bias

Comparison of Alternative Variance Estimators for Raking in the Presence of Nonresponse (View Presentation) — Daifeng Han, Westat; Richard Valliant, University of Maryland and University of Michigan
Keywords: raking; nonresponse adjustment; variance estimation; linearization; replication

Proper Variance Estimation When Adjusting for Both Unknown Eligibility and Unit Nonresponse — Dhuly Chowdhury, RTI International; Phil Kott, RTI
Keywords: weighting cell; two-phase sample; finite population correction

Coverage Error in Administrative Data: An Assessment of the National Incident Based Reporting System (View Presentation) — Sarah Zimmermann, RTI International; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
Keywords: Coverage Assessment; Administrative Data; Crime Statistics; Data Quality Assessment; Coverage Ratio; Sample Representativeness

A Smooth Pseudo-Population Bootstrap Approach in Survey Sampling with Applications to Quantile Estimators — Christian Léger, Université de Montréal; Vanessa McNealis, Université de Montréal
Keywords: Pseudo-population Approach; Variance Estimation; Median; Quantiles; Confidence Intervals; Smooth Bootstrap

Measures for Identifying Highly Associated Categorical Variables in Survey Data — Natalia Weil, Westat; Ismael Flores Cervantes, Westat
Keywords: complex survey data; auxiliary categorical data; Goodman and Kruskal’s tau; measures of association for categorical variables ; nonresponse adjustments; Cramer’s V

Oversampling Minority Populations in a Dual-Frame Telephone Survey (View Presentation) — Alexander Stubblefield, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Julie Stoner, University of Oklahoma Health Sciences Center
Keywords: Minority; Oversampling; Stratification; Telephone Survey

Likelihood Based Estimation of Finite Population Mean with Post-Stratification Information Under Nonignorable Nonresponse (View Presentation) — Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Roderick J Little, University of Michigan School of Public Health
Keywords: post-stratification; constrained optimization; nonignorable nonresponse; unit nonresponse

Exploring Hybrid Methods for Estimation with Combined Probability and Nonprobability Samples (View Presentation) — Qiao Ma, NORC at University of Chicago; Edward Mulrow, NORC at the University of Chicago
Keywords: statistical matching; nonprobability sample; propensity modeling; super population modeling; weighting; coverage error

An Evaluation of Traditional and Machine Learning Imputation Methods for Sampling Frame Construction for the American Voices Project — Cong Ye
Keywords: imputation; machine learning; hot-deck; sampling frame; missing data; address-based sampling

Variance Estimation for Nearest Neighbor Imputed Data — Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
Keywords: Imputation; nearest neighbor; variance estimation

Session 208: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Organizer(s):Yang Cheng, US Census Bureau

Constructing Better Coverage Intervals for Parameters Estimated from a Complex Sample Survey — Phil Kott, RTI
Keywords: Wald coverage interval; Skewness measure; Skewness-adjusted interval

Session 215: Evolving Survey Inference in the Big Data Era: Challenges and Opportunities — Invited Papers
Organizer(s):Yajuan Si, University of Michigan
Chair(s): Yajuan Si, University of Michigan

Small Area Estimation to Correct for Measurement Errors in Big Population Registers (View Presentation) — Dano Ben-Hur, Central Bureau of Statistics, Israel; Danny Pfeffermann, Central Bureau of Statistics and Hebrew Unversity, Israel, University of Southampton, UK
Keywords: Fay-Herriot model; NMAR nonresponse; Sample selection

Revisiting Design-Based Inference (View Presentation) — Jean Opsomer, Westat
Keywords: survey estimation; design-based; nonresponse; non-probability sampling

Novel Methods for Incorporating Sample Designs in Bayesian Inference (View Presentation) — Michael Elliott, University of Michigan; Yuqi Zhai, University of Michigan; Trivellore Raghunathan, University of Michigan
Keywords: Survey sampling; importance sampling; small-area estimation; Bayesian bootstrap

Combining Non-Probability and Probability Survey Samples Through Mass Imputation (View Presentation) — Jae-kwang Kim, Iowa State University; Seho Park , Dartmouth University ; Yilin Chen, University of Waterloo; Changbao Wu, University of Waterloo
Keywords: Self-selection; Data Integration; Data fusion; Big data

Session 252: SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control, Part 2 — Contributed Poster Presentations
Chair(s): Karol Krotki, RTI International

Accessing and Exploring NCES Survey and Administrative Data Through Self-Guided Online Training Modules — Andrew A White, National Center for Education Statistics
Keywords: education data; survey data; online dataset training; data access; complex survey design; online data tools

Hot Deck Imputation Cells for the American Housing Survey — Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
Keywords: American Housing Survey; Hot Deck Imputation; Stepwise Logistic Regression

Calibration Weighting for Nonreporting Agencies in FBI’s National Incident Based Reporting System — Philip Lee, RTI; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
Keywords: Administrative Data; Crime Statistics; Sample Representativeness; Auxiliary Data; Generalized Exponential Model

HIGHER ORDER CALIBRATED ESTIMATOR in TWO STAGE SAMPLING — Veronica Salinas

Nurse Effects on Nonresponse to Survey-Based Biomeasures — Joseph Sakshaug, Institute for Employment Research / University of Mannheim; Alexandru Cernat, University of Manchester; Tarani Chandola, University of Manchester; James Nazroo, University of Manchester; Natalie Shlomo, University of Manchester
Keywords: health surveys; physical measurements; nonresponse; weighting; multilevel models

Carry Forward Imputation for Unit Non-Response After a Survey Redesign — Kimberly Ault, RTI International
Keywords: multiple data sources; imputation; unit nonresponse; survey redesign

Effect of Monetary Incentives on Response Rates and Data Quality in a Survey of the U.S. Military — David McGrath, Department of Defense (DOD)
Keywords: Incentive; Survey; Nonresponse; Military

Impact of Spatial Sampling on Survey Development and Analysis — Atisha Amin, Ipsos; Beatrice Abiero, Ipsos
Keywords: Spatial Statistics; Sampling; Survey Research; Design; Bias

Comparison of Alternative Variance Estimators for Raking in the Presence of Nonresponse — Daifeng Han, Westat; Richard Valliant, University of Maryland and University of Michigan
Keywords: raking; nonresponse adjustment; variance estimation; linearization; replication

Proper Variance Estimation When Adjusting for Both Unknown Eligibility and Unit Nonresponse — Dhuly Chowdhury, RTI International; Phil Kott, RTI
Keywords: weighting cell; two-phase sample; finite population correction

Coverage Error in Administrative Data: An Assessment of the National Incident Based Reporting System — Sarah Zimmermann, RTI International; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
Keywords: Coverage Assessment; Administrative Data; Crime Statistics; Data Quality Assessment; Coverage Ratio; Sample Representativeness

A Smooth Pseudo-Population Bootstrap Approach in Survey Sampling with Applications to Quantile Estimators — Christian Léger, Université de Montréal; Vanessa McNealis, Université de Montréal
Keywords: Pseudo-population Approach; Variance Estimation; Median; Quantiles; Confidence Intervals; Smooth Bootstrap

Measures for Identifying Highly Associated Categorical Variables in Survey Data — Natalia Weil, Westat; Ismael Flores Cervantes, Westat
Keywords: complex survey data; auxiliary categorical data; Goodman and Kruskal’s tau; measures of association for categorical variables ; nonresponse adjustments; Cramer’s V

Oversampling Minority Populations in a Dual-Frame Telephone Survey — Alexander Stubblefield, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Julie Stoner, University of Oklahoma Health Sciences Center
Keywords: Minority; Oversampling; Stratification; Telephone Survey

Likelihood Based Estimation of Finite Population Mean with Post-Stratification Information Under Nonignorable Nonresponse — Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Roderick J Little, University of Michigan School of Public Health
Keywords: post-stratification; constrained optimization; nonignorable nonresponse; unit nonresponse

Exploring Hybrid Methods for Estimation with Combined Probability and Nonprobability Samples — Qiao Ma, NORC at University of Chicago; Edward Mulrow, NORC at the University of Chicago
Keywords: statistical matching; nonprobability sample; propensity modeling; super population modeling; weighting; coverage error

An Evaluation of Traditional and Machine Learning Imputation Methods for Sampling Frame Construction for the American Voices Project — Cong Ye
Keywords: imputation; machine learning; hot-deck; sampling frame; missing data; address-based sampling

Variance Estimation for Nearest Neighbor Imputed Data — Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
Keywords: Imputation; nearest neighbor; variance estimation

Session 292: Providing Access to Useful Data While Preserving Confidentiality — Topic Contributed Papers
Organizer(s): Daniell Toth, U.S. Bureau of Labor Statistics
Chair(s): Daniell Toth, U.S. Bureau of Labor Statistics

Statistical Disclosure Issues Involving Digital Images of ROC Curves — Ofer Harel, Dept of Statistics, U of Connecticut; Gregory Matthews
Keywords: Confidentiality; Statistical Disclosure; images; ROC curves

Pseudonymisation to Anonymisation: Addressing the GDPR in Survey Microdata (View Presentation) — Jane Li, Westat; Tom Krenzke, Westat; Lin Li, Westat
Keywords: Confidentiality; disclosure risk; data perturbation; data utility

Bayesian Pseudo Posterior Synthesis for Data Privacy Protection (View Presentation) — Jingchen Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Science Foundation
Keywords: Bayesian hierarchical models; Data privacy protection; Identification risks; Pseudo posterior; Synthetic data

PMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity — Joshua Snoke, RAND Corporation; Aleksandra Slavkovic, Penn State University
Keywords: Synthetic Data; Differential Privacy; Propensity Score; CART; Machine Learning; Confidentiality

Session 295: SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 1 — Contributed Speed
Chair(s): Katherine McLaughlin, Oregon State University

Using Paradata to Explore Users Pathways Through Web Surveys (View Presentation) — Renee Ellis, U.S. Census Bureau
Keywords: Paradata; web surveys; survey methodology; data visualization

Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data — Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
Keywords: machine learning; survey research process; meta-analysis

A Computationally Efficient Method for Selecting a Split Questionnaire Design (View Presentation) — Matthew Stuart; Cindy Yu, Iowa State University
Keywords: questionnaire; SQD; Horvitz-Thompson; Pet; KLD; design

Assessing the Relationship Between Balanced Sample and Sample Representativity (View Presentation 1)(View Presentation 2) — Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
Keywords: Representativeness Index; Balanced Sample; Length-biased Distribution; Sample Redesign Primary Sampling Units; Sample Representativity

Trend Analysis for Complex Survey Data with Bayesian Approach (View Presentation) — Yi Mu, Centers for Disease Control and Prevention
Keywords: trend; complex survey; Bayesian; infectious disease

Applications of R Shiny to Evaluate and Improve Total Survey Quality (View Presentation 1)(View Presentation 2) — Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
Keywords: R Shiny; survey quality; National Resource Inventory; Cropland Data Layer; Soil Survey

Modifying State Sample Sizes for the National Crime Victimization Survey (View Presentation) — Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
Keywords: Sample Size; Design Effect; Sample Design

Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models (View Presentation) — Jerry Maples, U.S. Census Bureau
Keywords: Small Area; poverty; population; administrative records; SAIPE

Re-Examining File-Level Re-Identification Risk Assessment (View Presentation 1) (View Presentation 2) — Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
Keywords: re-identification risk; disclosure; log-linear models; goodness of fit; sensitivity analysis

Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey — Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
Keywords: cancer fatalistic beliefs; Model-based estimates; MCMC; model validation; mapping

Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program (View Presentation) — Ronaldo Iachan, ICF Macro, Inc.
Keywords: Multilevel; student surveys; accelerometry

ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS (View Presentation 1)(View Presentation 2) — Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
Keywords: Survey; Nonprobability Sampling; MRP; Bayes; Trend Analysis

Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes (View Presentation 1)(View Presentation 2) — Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan

Recommendations for Assessing and Evaluating Variable Crosswalks (View Presentation) — Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
Keywords: Variable Crosswalk; Equating; Linking; Depression

A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey (View Presentation) — Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
Keywords: small area; OMAS; hierarchical Bayes; MCMC; OpenBugs; uninsured rates

Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias (View Presentation) — Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
Keywords: nonprobability surveys; mobile phones; innovative data collection methods; coverage and selection bias; raking; nonprobability benchmarking

Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples (View Presentation) — Paul John Lavrakas, Independent Consultant
Keywords: Auxillary data; nonresponse bias

Identity Disclosure Control in Microdata Release by Post-Randomization — Xiaoyu Zhai; Tapan Nayak, George Washington University
Keywords: identity disclosure control; PRAM; data utility; Public-use Micro-data

Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries (View Presentation) — Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
Keywords: Entrepreneurship; successful entrepreneurs; environmental factors; support system; entrepreneurial models

Session 333: Adaptive Survey Design: Recent Advances and New Potential — Topic Contributed Papers
Organizer(s): Stephanie M Coffey, U.S. Census Bureau
Chair(s): Thomas Louis, Johns Hopkins Bloomberg SPH

Adapting Data Collection Activities Using Survey Fielding Metrics — A. Elizabeth Ormson, NORC at the University of Chicago; Rupa Datta, NORC at the University of Chicago; Weihuang Wong, NORC at the University of Chicago
Keywords: adaptive design; NSECE

Responsive and Adaptive Survey Design: Use of Bias Propensity During Data Collection to Reduce Nonresponse Bias (View Presentation) — Daniel Pratt, RTI International; Andrey Peytchev, RTI International; Michael Duprey, RTI International
Keywords: responsive design; adaptive design; nonresponse bias reduction

Dynamic Interventions for Outcome Improvement: Minimizing Cost for a Fixed RMSE (View Presentation) — Stephanie M Coffey, U.S. Census Bureau
Keywords: adaptive design; dynamic interventions; propensity models; cost models; Bayesian models; simulations

Using Cost-Calibration Trade-Offs in Establishment Surveys to Allocate Cases by Mode — Benjamin Martin Reist, USDA, NASS; Gavin Corral, National Agricultural Statistics Service (NASS); Andrew Dau, National Agricultural Statistics Service; Tyler Wilson, USDA, NASS; Audra Zakzeski, National Agricultural Statistics Service

Use of Adaptive and Responsive Design Concepts and Methods in the Integration of Multiple Data Sources (View Presentation) — John L. Eltinge, United States Census Bureau
Keywords: data quality; multiple-frame methodology; non-designed data; organic data; propensity model; superpopulation model

Session 354: SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 2 — Contributed Poster Presentations
Chair(s): Katherine McLaughlin, Oregon State University

Using Paradata to Explore Users Pathways Through Web Surveys — Renee Ellis, U.S. Census Bureau
Keywords: Paradata; web surveys; survey methodology; data visualization

Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data — Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
Keywords: machine learning; survey research process; meta-analysis

A Computationally Efficient Method for Selecting a Split Questionnaire Design — Matthew Stuart; Cindy Yu, Iowa State University
Keywords: questionnaire; SQD; Horvitz-Thompson; Pet; KLD; design

Assessing the Relationship Between Balanced Sample and Sample Representativity — Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
Keywords: Representativeness Index; Balanced Sample; Length-biased Distribution; Sample Redesign Primary Sampling Units; Sample Representativity

Trend Analysis for Complex Survey Data with Bayesian Approach — Yi Mu, Centers for Disease Control and Prevention
Keywords: trend; complex survey; Bayesian; infectious disease

Applications of R Shiny to Evaluate and Improve Total Survey Quality — Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
Keywords: R Shiny; survey quality; National Resource Inventory; Cropland Data Layer; Soil Survey

Modifying State Sample Sizes for the National Crime Victimization Survey — Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
Keywords: Sample Size; Design Effect; Sample Design

Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models — Jerry Maples, U.S. Census Bureau
Keywords: Small Area; poverty; population; administrative records; SAIPE

Re-Examining File-Level Re-Identification Risk Assessment — Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
Keywords: re-identification risk; disclosure; log-linear models; goodness of fit; sensitivity analysis

Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey — Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
Keywords: cancer fatalistic beliefs; Model-based estimates; MCMC; model validation; mapping

Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program — Ronaldo Iachan, ICF Macro, Inc.
Keywords: Multilevel; student surveys; accelerometry

ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS — Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
Keywords: Survey; Nonprobability Sampling; MRP; Bayes; Trend Analysis

Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes — Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan

Recommendations for Assessing and Evaluating Variable Crosswalks — Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
Keywords: Variable Crosswalk; Equating; Linking; Depression

A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey — Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
Keywords: small area; OMAS; hierarchical Bayes; MCMC; OpenBugs; uninsured rates

Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias — Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
Keywords: nonprobability surveys; mobile phones; innovative data collection methods; coverage and selection bias; raking; nonprobability benchmarking

Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples — Paul John Lavrakas, Independent Consultant
Keywords: Auxillary data; nonresponse bias

Identity Disclosure Control in Microdata Release by Post-Randomization — Xiaoyu Zhai; Tapan Nayak, George Washington University
Keywords: identity disclosure control; PRAM; data utility; Public-use Micro-data

Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries — Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
Keywords: Entrepreneurship; successful entrepreneurs; environmental factors; support system; entrepreneurial models

Session 373: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Chair(s): Yang Cheng, US Census Bureau

Two Americas Now? What Polling Tells Us About Where We Stand — Mark Schulman, SSRS Research
Keywords: political polarization; elections; political parties

Session 395: Connecting Parallel Universes — Topic Contributed Papers
Organizer(s): Arthur B Kennickell, Self
Chair(s): Barry W Johnson, Statistics of Income, IRS

HFCS Micro Simulation Model (View Presentation) — Miguel Ampudia, European Central Bank; Johannes Fleck, European Central Bank
Keywords: microsimulation; survey data; macroprudential tools

Are Survey Data Underestimating the Inequality of Net Wealth? (View Presentation) — Tairi Room, Bank of Estonia; Jaanika Merikull, Bank of Estonia
Keywords: unit non-response; item non-response; wealth survey; income survey; wealth distribution; Household Finance and Consumption Survey

Pooling (Data) Assets to Learn About Debts — Brian Bucks, Consumer Financial Protection Bureau
Keywords: Adminstrative data; consumer finance; survey methods

Labour Income Uncertainty During a Crisis (View Presentation) — Reamonn Lydon, Central Bank of Ireland; Julia Le Blanc, Deutsche Bundesbank
Keywords: earnings; inequality; consumption; wealth; debt; assets

Machine Learning European Household Wealth — Johannes Fleck, European University Institute
Keywords: Item non-response; Imputation; Machine Learning; Household Wealth; Administrative Data

Session 416: Nonresponse Errors and Fixes — Contributed Papers
Chair(s): Barbara Robles, Federal Reserve Board

Exploring the Relationship Between Burden Factors and Survey Response — Morgan Earp, Bureau of Labor Statistics; Brandon Kopp, Bureau of Labor Statistics; John Dixon, Bureau of Labor Statistics
Keywords: Respondent Burden; Structural Equation Modeling; Survey Response; Current Population Survey

Using Survey Contact History to Study the Effect of Interviewer Strategies on Respondent Behavior — John Dixon, Bureau of Labor Statistics
Keywords: paradata; correspondence analysis; nonresponse; interviewer stratagies

A Comparison of Selective Versus Automatic Editing for Estimating Totals — Chin-Fang Weng, U.S. Census Bureau; Joanna Fane Lineback, U.S. Census Bureau
Keywords: response error; selective editing; automatic editing; data quality; imputation

Assessment of an Imputation Process Used in the 2017 Census of Agriculture — Tara Murphy, USDA National Agricultural Statistics Service; Habtamu Benecha, NASS/USDA; Denise A. Abreu, USDA National Agricultural Statistics Service; Darcy Miller, National Agricultural Statistics Service
Keywords: capture-recapture; imputation; list frame; area frame; logistic regression

Visibility Imputation for Population Size Estimation Using Respondent-Driven Sampling (View Presentation) — Katherine McLaughlin, Oregon State University; Mark Handcock, University of California, Los Angles
Keywords: respondent-driven sampling; visibility; imputation; population size estimation; measurement error model; network sampling

Imputation in a National Health Survey: Balancing Data Quality with Respondent Burden in the Medical Expenditure Panel Survey (MEPS) (View Presentation) — Emily Mitchell, Agency for Healthcare Research and Quality; Jerrod Anderson, Agency for Healthcare Research and Quality; Samuel H Zuvekas, Agency for Healthcare Research and Quality
Keywords: Medical Expenditure Panel Survey; Survey Data; Imputation; Measurement Error; Respondent Burden

Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys (View Presentation) — Brian Kim, University of Maryland, College Park; Mark Handcock, University of California, Los Angles
Keywords: Hard-to-reach population sampling; Network Sampling; Model-based survey sampling; Capture-Recapture; Probability proportional to size without replacement sampling

Session 423: Contributed Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations
Chair(s):Wendy Meiring, University of California At Santa Barbara

Evaluating Estimation Methods for Combining Probability and Nonprobability Samples Through a Simulation Study — Michael Yang, NORC at the University of Chicago; Nadarajasundaram Ganesh, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago
Keywords: survey estimation; nonprobability sample; composite estimation

Simulation Evaluation of Adaptive Survey Designs for a Community Health Survey — David Brown, Colorado State University; F Jay Breidt, Colorado State University
Keywords: Adaptive Survey Design; Auxiliary Information; Paradata; Responsive Survey Design; Response Propensity Models

Impact of Survey Administation Mode on Educational Surveys — Yue Jia, Educational Testing Service
Keywords: Educational Survey; Survey Administration Mode ; NAEP; random group design; Cross mode comparisons

Methodological Considerations for Sampling in the Influenza Hospitalization Surveillance Network — Alissa O'Halloran, Centers for Disease Control and Prevention; Shikha Garg, CDC; Lauren Beacham, CDC; Charisse Cummings, CDC; Carrie Reed, CDC
Keywords: Sampling; Influenza

The Impact of Adding a Survey Supplement on Response Rates — Holly Shulman, Centers for Disease Control
Keywords: response rates; survey; survey supplement

Assessment of Nonresponse in the 2016 National Hospital Care Survey — Iris Shimizu, National Center for Health Statistics; Geoffrey Jackson, National Cener for Health Statistics; Vladislav Beresovsky, National Center for Health Statistics
Keywords: nonresponse; assessment; unit response; hospital survey

Methods for Incorporating Weighting Adjustments into a Replicate Weighting Strategy for the Public-Use NHIS — Van Parsons, National Center for Health Statistics
Keywords: complex survey; replication methods; variance estimation

Internet Self-Response Projections for the 2020 Census — Megan Parker, Census Bureau
Keywords: census; internet; self-response; model; mail strategy; response rate

Method for Selecting Calibration Weights in a Non-Probability Epidemiological Survey — Joshua Curtis Black, Rocky Mountain Poison and Drug Center; Karilynn Rockhill, Rocky Mountain Poison and Drug Center; Alyssa Forber, Rocky Mountain Poison and Drug Center; Elise Amioka, Rocky Mountain Poison and Drug Center; K. Patrick May, Rocky Mountain Poison and Drug Center
Keywords: drug abuse; non-probability; bias reduction; calibration

Methods for Identifying Careless Responders in Online Survey Data — Elise Amioka, Rocky Mountain Poison and Drug Center; Joshua Curtis Black, Rocky Mountain Poison and Drug Center; Alyssa Forber, Rocky Mountain Poison and Drug Center; Karilynn Rockhill, Rocky Mountain Poison and Drug Center
Keywords: careless responding; survey validity; bias reduction; exclusion criteria; drug abuse

Functional Covariate Adjustment in Survey Sampling — Hengfang Wang, Iowa State University of Science and Technology; Zhengyuan Zhu, Iowa State University; Jae-kwang Kim, Iowa State University
Keywords: Kernel method; Eigenvalue decomposition; Reproducing kernel Hilbert Space; Sobolev space; Empirical process

Evaluating the Contribution Acoustic Monitors Have in Predicting Bat Mist Netting Success — I'Yanna Scott; Patrick Zollner, Purdue University; Nerisa Taua, Purdue University; Cheyenne Gerdes, Purdue University; Laura D'Acunto, Purdue University
Keywords: Myotis sodalis; acoustic monitor; mist-netting; Eptesicus fuscus

Statistical Disclosure Control with Machine Learning — Allshine Chen; Sixia Chen, University of Oklahoma Health Sciences Center; Yan Daniel Zhao, University of Oklahoma Health Sciences Center
Keywords: Statistical Disclosure Control; Imputation; Machine Learning; Modeling; Simulation

Session 434: Survey Research Methods Section A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Chair(s):Yang Cheng, US Census Bureau

Planning and Developing Methods for the Proliferation of Non-Probability Data Sources — Kennon Copeland, NORC at the University of Chicago
Keywords: Administrative Data; Social Media Data; Organic Data; Nonprobability Surveys; Estimation

Session 442: State-Of-The-Art Inferential Approaches for Non-Probability Samples — Invited Papers
Organizer(s): Brady T. West, University of Michigan
Chair(s):Brady T. West, University of Michigan

Measures of the Degree of Departure from Ignorable Sample Selection (View Presentation) — Phil Boonstra, University of Michigan; Brady T. West, University of Michigan; Roderick J Little, University of Michigan School of Public Health; Rebecca Andridge, The Ohio State University College of Public Health
Keywords: selection bias; pattern-mixture model; nonresponse; auxiliary proxy; standardized bias

Decomposing Selection Bias in Nonprobability Surveys — Andrew Mercer, Pew Research Center

Sample Matching and Double Robust Estimation with Non-Probability Samples — Changbao Wu, University of Waterloo
Keywords: Probability samples; Non-probability samples; Statistical inference; Doubly robust ; Variance estimation

On Application of a Response Propensity Model to Estimation from Web Samples (View Presentation) — Vladislav Beresovsky, National Center for Health Statistics
Keywords: web samples; web response propensity; implicit logistic regression; adaptive LASSO; double-robust estimators

Session 474: Survey Sampling and Variance Estimation: Recent Innovations — Contributed Papers
Chair(s):Craig A. Hill, RTI International

Deriving Asymptotic Properties of Survey Sampling Estimators — Ismael Flores Cervantes, Westat
Keywords: Large sample theory; function of random variables; discrete multivariate statistics; finite population; sample design

Expanding Variance Function Coverage in the Current Population Survey — Justin McIllece, U.S. Bureau of Labor Statistics
Keywords: CPS; GVF; variance functions

Fully Bayesian Estimation Under Informative Sampling (View Presentation) — Luis Leon Novelo, University of Texas-Health Science Center At Houston-School of Public Health; Terrance Savitsky, Bureau of Labor Statistics
Keywords: Inclusion probabilities; NHANES; Sampling weights; Survey sampling

Comparing Alternative Estimation Methods When Using Multi-Hit Approach to PSU Selection (View Presentation) — Sadeq R Chowdhury, Agency for Healthcare Research and Quality
Keywords: Multi-stage Sampling; PSU Selection; Certainty PSU; Multi-hit Sampling; Selection Probability

Overview of the 2016-2025 National Health Interview Survey Sample Design — Chris Moriarity, National Center for Health Statistics; Van Parsons, National Center for Health Statistics; Kim Jonas, U.S. Census Bureau
Keywords: sample survey

Targeted Data Collection: Statistical Sampling to Enable Collection of Variables Not in the Surveillance, Epidemiology, and End Results (SEER) Database — Sarah Michalak, Los Alamos National Labs; Tanmoy Battacharya, Los Alamos National Laboratory; Nick Hengartner, Los Alamos National Laboratory; Donna Rivera, National Cancer Institute; Xiao-Cheng Wu, Louisiana Tumor Registry; Lynne Penberthy, National Cancer Institute
Keywords: cancer; SEER; survey sampling

An Elementary Derivation of Kadane's Optimal Dynamic Sampling Plan (View Presentation) — Tommy Wright, US Census Bureau/Center for Statistical Research & Methodology
Keywords: Exact Optimal Allocation; Fixed Budget; Stratification

Session 502: Propensity Score Methods to Conduct Observational Studies Using Complex Survey Data — Topic Contributed Papers
Organizer(s): Hyunshik James Lee, Westat
Chair(s):Natalia Weil, Westat

Estimating Generalized Propensity Scores with Survey and Nonresponse Weighted Data — Beth Ann Griffin, RAND Corporation; Michael Robbins, RAND Corporation; Brian G. Vegetabile, RAND Corporation; Daniel F. McCaffrey, Educational Testing Service
Keywords: generalized propensity score; survey weights; sampling weights; complex surveys; survey

Causal Inference Using Propensity Score Methods with Clustered Survey Data (View Presentation) — Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
Keywords: Logistic regression; Sampling weight; Cluster effect; Replicate variance estimator; Bootstrap variance estimator; Confidence interval

Assessing the Causal Effect of Cumulative Load for Recurrent Injury Events in Professional Tennis Using a Flexible Cox Marginal Structural Model (View Presentation) — Stephanie Kovalchik, Tennis Australia/Victoria University
Keywords: Causal inference; Time-dependent; Cumulative exposure; Sports

Robust Estimation of the Causal Effect of Time-Varying Neighborhood Factors on Health Outcomes (View Presentation) — Michael Robbins, RAND Corporation; Beth Ann Griffin, RAND Corporation; Regina Shih, RAND Corporation; Mary Slaughter, RAND Corporation
Keywords: Causality; Doubly robust; Health status disparities; Inverse probability of treatment weighting; Kernel density; Neighborhood

Session 503: Small Area Estimation with Relaxed Modeling Assumptions — Topic Contributed Papers
Organizer(s): Andreea Erciulescu, Westat
Chair(s):Jane Li, Westat

Small Area Estimation of Entropy Inequality Measures: a Comparison Between Alternative Distribution Models — Silvia Pacei, University of Bologna; Maria Rosaria Ferrante, University of Bologna
Keywords: Fay-Herriot model; Skewed distributions; Hierarchical Bayes

Small Area Models for Skewed Brazilian Business Survey Data — Fernando Moura, IM-UFRJ; Denise Britz Nascimento Silva, ENCE-IBGE; Andre Felipe Neves, IBGE
Keywords: Hierarchical model; skew-normal ; MCMC; Bayesian inference; Brazilian annual service survey

Bayesian Nonparametric Joint Model for Point Estimates and Variances under Biased Domain Variances (View Presentation) — Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
Keywords: Bayesian Hierarchical Modeling; Dirichlet process; Variational Bayes; Stan; Weight smoothing

Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors (View Presentation) — Mamadou Diallo
Keywords: Hierarchical Bayes (HB); Monte Carlo, best prediction (EB); complex parameters; unit-level; skew-normal

Hierarchical Bayesian Models for Small Areas with Dirichlet Processes — Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Bayesian computation; Bootstrap; Diagnostics; Predictive inference; Robust model; Survey data

Session 540: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Chair(s):Yang Cheng, US Census Bureau

What Do We Know About the Value of High-Quality Statistical Information? How Can We Learn More? — John L. Eltinge, United States Census Bureau
Keywords: contingent valuation; data quality; integration of multiple data sources; stakeholder communication; use value and option value; organic data

Session 548: Total Survey Errors in the Combination of Probability and Nonprobability Samples — Invited Papers
Organizer(s): Michael Yang, NORC at the University of Chicago
Chair(s):Michael Yang, NORC at the University of Chicago

Combining Data from a Probability and Nonprobability Sample Using a Composite Estimator (View Presentation) — Burton Levine, RTI International
Keywords: nonprobability; composite estimator; redirected inbound call sampling

Total Survey Error: Approaches for Measuring Bias and Variance Components When Combining Probability and Non-Probability Samples — Nadarajasundaram Ganesh, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Michael Yang, NORC at the University of Chicago
Keywords: Calibration; Non-probability sample; Small area estimation; Total Survey Error

Multilevel Regression and Post-Stratification with Misreporting and Selection Bias (View Presentation) — Douglas Rivers, Stanford University
Keywords: Survey Sampling; Nonresponse; Selection bias; Multilevel regression; Post-stratification

Session 579: Sampling, Variance Estimation, and Advancements with Auxiliary Data — Contributed Papers
Chair(s):Maria Cuellar, University of Pennsylvania

Alternative Optimization Techniques for Sample Allocation in Surveys with National and Sub-National Precision Requirements (View Presentation) — Thomas John Chesnut, US Census Bureau; Shawn Baker, U.S. Census Bureau
Keywords: sample allocation; sample size; precision; nonlinear optimization; greedy heuristic

TRUMP: Tuned Regression Unbiased Mean Predictor — Sarjinder Singh, Texas A&M University-Kingsville; Stephen Sedory, Texas A & M University-Kingsville
Keywords: Calibration; TRUMP Cuts; TRUMP Care Coefficient; Chain Type TRUMP Cuts; First Basic Information (FBI)

Generalized Variance Functions for Longitudinal Survey Data — Yan Lu, University of New Mexico; Guoyi Zhang, University of New Mexico; Yang Cheng, US Census Bureau
Keywords: CPS; generalized variance functions; longitudinal generalized variance functions; design effects; implementation

Benefit of Probability-Proportional-To-Size Sampling in Cluster Randomized Experiments (View Presentation) — Yeng Xiong; Michael Higgins, Kansas State University
Keywords: Probability proportional to size sampling; cluster randomized experiment; Horvitz-Thompson; Neyman Rubin ; causal inference

New Methodology of Calibration in Stratified Random Sampling — Shameem Alam; Sarjinder Singh, Texas A & M University-Kingsville; Javid Shabbir, Quaid-e-Azam University Islamabad
Keywords: Calibration; Stratified random sampling; Auxiliary information; Percent relative efficiency; Simulation

Assessing the Utility of 2015 Medicare Advantage Encounter Data to Improve MCBS Estimates (View Presentation) — Holly Hagerty, NORC at the University of Chicago; Nicholas Davis, NORC at the University of Chicago; Michael Trierweiler, NORC at the University of Chicago
Keywords: Medicare; Medicare Advantage; Matching; Medicare Claims Data; Data Validation; Imputation

Session 606: Address-Based Frame Enhancement: Recent Experience and Developments — Topic Contributed Papers
Organizer(s): Michael Jones, Westat
Chair(s):Rachel Harter, RTI International

A Review of the Address Coverage Enhancement Scheme for In-Person Household Surveys (View Presentation) — Michael Jones, Westat; Sylvia M Dohrmann, Westat; Graham Kalton, Westat
Keywords: ABS frame supplementation; address coverage enhancement; address-based sampling; geocoding; sampling frame coverage

Evaluation of Dwelling Unit Frame Coverage Enhancement: Case Study of the 2017 PIAAC Survey (View Presentation) — Wendy Van de Kerckhove, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat; Weijia Ren, Westat
Keywords: address-based sampling; address coverage enhancement

Enhanced Listing for Improving Address Frame Coverage: a Review — Ned English, NORC at the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago; Katie Archambeau, NORC at the University of Chicago
Keywords: ABS; Address lists; Coverage

Developing and Evaluating a New Metric for Address-Based Sampling Frame Quality Assessment — Stephanie Zimmer, RTI International; Ashely Amaya, RTI International
Keywords: Coverage; Bias; Sampling

Session 623: Statistical Modeling: Benefits and Drawbacks — Contributed Papers
Chair(s):Asaph Young Chun, Statistical Research Institute of Statistics Korea; ISR Foundation

A Reconsideration of the Gibbs Sampler for Small Area Estimation Models — William Bell, U.S. Census Bureau
Keywords: Markov Chain Monte Carlo; Bayesian computation; BUGS; JAGS

Assessing the Relationship of Multiple Metrics in Consumer Tests — Jason Parcon, PepsiCo; Lisa Handrick, PepsiCo
Keywords: Consumer Tests; Overall Liking; Expectation Index; Mutiple Metrics; R&D; Unbiased Correlations

Analysis of Familial Aggregation Using Recurrence Risk for Complex Survey Data — Cong Wang, FDA, Center for Biologics Evaluation and Research (CBER); Barry Graubard, National Cancer Institute; Zhaohai Li, The George Washington University
Keywords: Recurrence risk; Network sampling ; Extended quadratic exponential model; Quasi-score test; Diabetes

Statistical Learning for Complex Survey Data: Using Cross-Validation for Model Selection in Generalized Linear Models (View Presentation) — Darryl Creel

Estimating Means of Two Sensitive Quantitative Variables Simultaneously by Using Two Scrambled Responses — Maryam Murtaza; Sarjinder Singh, Texas A & M University-Kingsville; Zawar Hussain, Quaid-i-Azam University, Islamabad
Keywords: Scrambled responses; Two sensitive variables; Estimation of means; Relative Efficiency; Unbiased; Simultaneously

Utilizing Paradata to Examine and Improve the Web Data Collection Process in Agricultural Census and Survey Programs — Robyn Sirkis, USDA National Agricultural Statistics Service (NASS); Pamela McGovern, U.S. Department of Agriculture
Keywords: paradata; data collection; web instruments; questionnaire design; mobile; survey methods

Estimations Based on Nonprobability Samples: a Simulation Study — Christian Bruch, GESIS; Barbara Felderer, University of Mannheim
Keywords: Nonprobability samples; Weighting methods; Estimation procedures; Simulation study

Session 631: Small Area Estimation: “Producing Estimates for Small Areas from Sampled Data” — Invited Papers
Organizer(s): Kelly McConville, Reed College
Chair(s):Kelly McConville, Reed College

Two-fold subarea models for small area estimation: Some theory and model selection (View Presentation) — J. N. K. Rao, Carleton University
Keywords: empirical best prediction; importance sampling; information criterion; small area estimaton; subarea models; variable selection

Small Area Estimation for an Informative Sample Design (View Presentation) — Emily Berg, Iowa State University
Keywords: informative sampling; small area ; mixed effects models

Small Area Estimates Using Tree Based Models (View Presentation) — Daniell Toth, U.S. Bureau of Labor Statistics; Kelly McConville, Reed College
Keywords: machine learning; random forest; sample design; indirect estimators; survey data; model-assisted

Interpolating Distributions for Populations in Nested Geographies Using Public-Use Data with Application to the American Community Survey — Scott H. Holan, University of Missouri/U.S. Census Bureau; Matthew Simpson, SAS; Christopher K. Wikle, University of Missouri; Jonathan R. Bradley, Florida State University
Keywords: Bayesian methods; Functional data; Multi-scale model; Small area estimation; Spatial statistics

American Association for Public Opinion Research 2019
Toronto, Ontario, Canada, May 16 - May 19, 2019

A Comparison of Estimation Methods for Web-Based Respondent Driven Sampling — Nada Ganesh, NORC at the University of Chicago; Stuart Michaels, NORC at University of Chicago; Vicki J. Pineau, NORC at University of Chicago; Becky Reimer, NORC at University of Chicago; Kanru Xia, NORC at University of Chicago
Keywords: Respondent Driven Sampling, LGBT, Non-probability

Are Shoppers Representative of the Population? Using Geofenced Grocery, Convenience, and Home Improvement Stores to Represent the Population — James Dayton, ICF; Yangyang Deng, ICF; Lee Harding, ICF; Ronaldo Iachan, ICF; Matt Jans,ICF; Matthew McDonough,ICF; Davia Moyse,ICF; Laura O'Campo, Four Mobile Market Research;Scott Worthge, MFour Mobile Market Research
Keywords: nonprobability sampling, geofencing, health surveys, benchmarking

Assessing the Impact of Modifying the Introduction on the National Immunization Survey — Tiffani Balok, NORC at the University of Chicago; Laurie D. Elam-Evans, National Center for Immunization and Respiratory Diseases; Qiao Ma, NORC at the University of Chicago; Megha S. Ravanam, NORC at the University of Chicago; Christopher Scott, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago; Chalanda Smith, National Center for Immunization and Respiratory Diseases; Vincent Welch, NORC at the University of Chicago
Keywords: National Immunization Survey, Introduction Text, Conversational, Progressive Engagement

Choreographing "The Best Interview Ever": Developing and Implementing a Multimodal Family Interview — Elyzabeth Gaumer, New York City Department of Housing Preservation and Development; Daniel Goldstein, New York City Department of Housing Preservation and Development; Linda M. Powell New York City Department of Housing Preservation and Development; Caitlin R. Waickman, New York City Department of Housing Preservation and Development
Keywords: multi-mode, data quality, respondent burden

Combatting Attrition Bias Using Case Prioritization in the Survey of Income and Program Participation — Stephanie Coffey, U.S. Census Bureau; Jason Fields, U.S. Census Bureau; Amanda Nagle, U.S. Census Bureau; Kevin Tolliver,U.S. Census Bureau
Keywords: Adaptive Survey Design, Case Prioritization, Attrition, Field Management, R-indicators, Paradata

Do You Need a Foot-in-the-Door or Is a Toe Enough? Scripting Introductions That Induce Tailoring and Increase Participation in Telephone Interviews — Don Allen, ICF; Lew Berman, ICF; Jamie Dayton,ICF; Josh Duell,ICF; Kim Ethridge, ICF; Wendi Gilreath, Washington Department of Health; Katie Hutchinson, Washington Department of Health; Matt Jans, ICF, Anneke Jansen,Washington Department of Health; Matthew D. McDonough, ICF; Kristin Reichl, Washington Department of Health; Mark Serafin, Washington Department of Health; Sam Vincent, ICF; Randal ZuWallack, ICF
Keywords: survey introduction, CATI, BRFSS, interviewers

Does Sexual Orientation and Gender Identity (SOGI) Question-Wording Influence Responses? An Experimental Test in a Non-Traditional Sample — James Dayton,ICF; Yangyang Deng,ICF; Lee Harding,ICF; Ronaldo Iachan, ICF; Matt Jans,ICF; Deirdre Middleton,ICF
Keywords:SOGI, Sexual orientation, Gender identity, LGBT, Question wording, Measurement

Evaluating Respondent Burden for Maxdiff Questions — Fiyin Adesina, JUST Capital; Kristin Dwan, NORC at the University of Chicago; Angela Fontes, NORC at the University of Chicago; David Gleicher, NORC at the University of Chicago; Natalie Jackson, JUST Capital; Rachel Miller, NORC at the University of Chicago; Eduardo Salinas, NORC at the University of Chicago
Keywords: Maxdiff, Forced Choice, Burden Estimation, Cognitive Testing

Evaluation of a $10 vs. $20 Incentive Promise on the National Immunization Survey-Child (NIS-Child) — Erik Amonson, NORC at the University of Chicago; Amie E. Conley, NORC at the University of Chicago; Laurie D. Elam-Evans, National Center for Immunization and Respiratory Diseases; Qiao Ma, NORC at the University of Chicago; Chalanda Smith; National Center for Immunization and Respiratory Diseases;
Keywords: National Immunization Surveys, Incentives, Cell Phones

Fast-Track Estimation Procedures and Analyses to Enhance the Utility of National Survey Data — Steven B. Cohen, RTI International
Keywords: imputation, estimation, modeling, fast-track

Integrating Administrative Data With Survey-Collected Data to Reduce Burden in Establishment Data Collection — Rachel Carnahan, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Andrea Mayfield, NORC at the University of Chicago
Keywords: Establishment data collection, administrative data, integration of administrative data and survey-collected data, respondent burden

Integrating Objective Health Measures: Using a Consumer Actigraphy Wristband to Supplement a Survey of Caregivers and Teens — Janne Brooks-Gunn, Teachers College, Columbia University; Elyzabeth Gaumer, New York City Department of Housing Preservation and Development; Daniel Goldstein, New York City Department of Housing Preservation and Development; Jack B. R Jerome, New York City Department of Housing Preservation and Development; Caitlin R. Waickman, New York City Department of Housing Preservation and Development
Keywords: wearables, actigraphy, objective health measures, physical activity

Learning the Lessons of History: Getting the Most from a Field Staff-Powered Contact History Instrument — Daniel Goldstein, New York City Department of Housing Preservation and Development; Jack B. R Jerome, New York City Department of Housing Preservation and Development;
Keywords: contact history instrument, paradata, respondent recruitment, field work

Linking Extant Social and Environmental Data at Multiple Scales to Surveys: Activity Space — Kevin Brown, NORC at the University of Chicago; Kate Cagney, NORC at the University of Chicago; Charlie Catlett, Argonne National Laboratory; Ned English, NORC at the University of Chicago, Chicago; Chang Zhao, NORC at the University of Chicago
Keywords: Sensor data, GIS, Environmental data

Managing Locating and Data Collection Interventions Through Adaptive Survey Design — Wan-Ying Chang, National Center for Science and Engineering Statistics; Zachary H. Seeskin, NORC at the University of Chicago; Chaoyi Zheng, NORC at the University of Chicago;
Keywords: Adaptive survey design, sample balance, representativity, data quality

Methods for Calculating State and National Prevalence Estimates: An Application of Estimates of Sexual Orientation and Gender Identity — Yangyang Deng, ICF; Kristie Healey, ICF; Ronaldo Iachan, ICF
Keywords: BRFSS, Sexual Orientation, Gender Identity, Statistical Modeling, Imputation

Pre/Post Hurricane Surveys: Measuring Hurricane Preparation and Post Storm Impacts Using Geofencing Methods — Brassell Thomas, ICF; Dayton James , ICF; Kinder, Rachel, ICF
Keywords: Geofencing, Geo-location Targeting, Mobile Panel, Disaster Recovery, PrePost Follow-up Survey, Psychological Stress Impacts

The Impact of Voicemail Messages on RDD Cell-Phone Response Rates in the National Immunization Surveys — Benjamin Skalland, 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; Benjamin Fredua, National Center for Immunization and Respiratory Diseases and Prevention, Centers for Disease Control, Leidos Health, Inc; Laurie D. Elam-Evans, 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 Surveys, Answering Machine Message, Voicemail Message

Using Contacting Information to Derive Employer Name in the Survey of Doctorate Recipients — Quentin Brummet, NORC at the University of Chicago; Karen Grigorian, NORC at the University of Chicago; Carlann Unger, NORC at the University of Chicago, Wan-Ying Chang, National Center for Science and Engineering Statistics
Keywords: Alternative Data Sources, Contacting Information, Predictive Modeling

Using Data Analytics for Early Prediction of Response Rate Changes in GSS — Colm O'Muircheartaigh, University of Chicago; Holly Hagerty, NORC at the University of Chicago; Chang Zhao, NORC at the University of Chicago; Ned English, NORC at the University of Chicago
Keywords: response rate prediction, GSS, disposition histories, predictive analytics