Proceedings of the Joint Statistical Meetings 2020 Survey Research Methods Section
Virtual Conference, August 2 - August 6, 2020

Session 17: Technology Impact on Total Survey Error — Invited Papers
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Antje Kirchner, RTI International

Detecting Housing Units from Satellite Imagery Using Computer Vision (View Presentation) — Stephanie Eckman, RTI International; Qiang Qiu, Purdue University; Tien-Yu Liu, Duke University
Keywords: coverage; frame; artificial intelligence; surveys; computer vision; machine learning

Automatic Coding of Open-Ended Questions: Does Double Coding of the Training Data Reduce the Error of Automatic Coding? — Zhoushanyue He, University of Waterloo; Matthias Schonlau, University of Waterloo
Keywords: statistical learning ; open-ended questions; text data; double-coding

Total Survey Error and Geographic Information Systems — Ned English, NORC; Kevin Brown, NORC ; Chang Zhao, NORC
Keywords: GIS; spatial; geospatial data

Passive Data Collection Using Smartphones — Bella Struminskaya, Utrecht University
Keywords: smartphone sensors; sensor error; survey error; measurement; consent; privacy

Session 25: Modern Techniques in Handling Missing Data with Challenging Data Structures Including Big and Small Data Files — Topic Contributed Papers
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Sixia Chen, University of Oklahoma Health Sciences Center

Nearest Neighbor Multiple Imputation: Problems and Potential Solutions (View Presentation) — Rebecca Andridge, Ohio State University; Katherine Jenny Thompson, US Census Bureau
Keywords: nearest neighbor; multiple imputation; hot deck; approximate Bayesian bootstrap

Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems — Yichuan Zhao, Georgia State University; Sixia Chen, University of Oklahoma Health Sciences Center; Yuke Wang, Georgia State University
Keywords: Empirical Likelihood; Bayesian Inference; Jackknife; Missing Data; Causal Inference

A Rescaling Bootstrap Method for Imputed Survey Data — Zeinab Mashreghi, University of Winnipeg; Huiqi Deng, University of Winnipeg
Keywords: Imputed survey data; Bootstrap; Unequal response probabilities; Variance estimation

Missing Data Analysis Using Machine Learning — Chao Xu, University of Oklahoma Health Science Center; Sixia Chen, University of Oklahoma Health Sciences Center
Keywords: Missing data; Machine learning; Deep learning; High-dimensional data; Big data; Imputation

Session 53: Applications of Data Linkage and Machine Learning Techniques — Contributed Papers
Chair(s): Jeffrey Gonzalez, Economic Research Service

Visualizing Text Mining Results of the Consumer Feedback Data (View Presentation) — Shankang Qu, PepsiCo
Keywords: customer feedback; prediction; Neural Network; discriminant analysis

Machine-Learning Algorithms to Improve Payment Imputation in the Medical Expenditure Panel Survey (MEPS) (View Presentation) — Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Chandler McClellan, Agency for Healthcare Research and Quality (AHRQ); Jerrod Anderson, Agency for Healthcare Research and Quality (AHRQ); Samuel H Zuvekas, Agency for Healthcare Research and Quality (AHRQ)
Keywords: Machine Learning; Medical Expenditure Panel Survey; Imputation; Survey Data; Predictive Mean Matching

Estimating Linkage Errors Under Regularity Conditions (View Presentation) — Abel Dasylva; Arthur Goussanou, Statistics Canada
Keywords: data matching; big data; entity resolution; entity resolution; false negative rate; data integration

Side Effect Reduction of Prior and Processed Information on Survey Design (Parts 1, 2 and 3) — Abdellatif Demnati, Independent Researcher
Keywords: Multiple sources of information; Optimal resources allocation; Responsive design; Two-phase sampling; Unit misclassification; Wisdom design

Addressing Optimization Challenges in Health Survey Research Using Multi-Objective Constrained Binary Particle Swarm Optimization — Di Xiong, UCLA SPH; Honghu Liu, UCLA
Keywords: Feature Selection; Partial AUC; Crowding Distance; Multi-objective optimization; Synthetic Minority Over-sampling Technique (SMOTE)

Using Data Science to Build Survey Sampling Frames from Scratch — Joseph Rodhouse, National Agricultural Statistics Service; Tyler Wilson, National Agricultural Statistics Service
Keywords: Data science; Web scraping; Sampling frames; Undercoverage

Session 156: Continuing to Explore New Frontiers: Research to Integrate Administrative Data into the American Community Survey — Topic Contributed Papers
Organizer(s): Jennifer M Ortman, U.S. Census Bureau
Chair(s): Jennifer M Ortman, U.S. Census Bureau

Analyzing Differences Between Survey Responses and Administrative Data for Property Value (View Presentation) — R. Chase Sawyer, U.S. Census Bureau
Keywords: Survey Responses; Respondent Burden; Property Value; Housing Characteristics; Administrative Records; AVM

Using Alternative Data Sources to Fill-In Missing Values for Demographic Characteristics on the American Community Survey — Sandra Clark, US Census Bureau
Keywords: imputation; survey methods; administrative records

Predicting Vacant Housing Units in the American Community Survey — Andrew Keller, U.S. Census Bureau
Keywords: American Community Survey; administrative data

Using Administrative Records to Improve Income Measurement in the American Community Survey — John Voorheis, US Census Bureau
Keywords:

Linking ACS and IRS Data to Assess Educational Attainment by Family Income — Leah R. Clark, US Census Bureau
Keywords: Education; Familiy Income

Session 184: New Research in Small Area Estimation — Contributed Papers
Chair(s): Jeffrey Gonzalez, Economic Research Service

Preparing Estimates of Proficiency and Their Variances for PIAAC Small Area Estimation Models (View Presentation) — Lin Li, Westat; Weijia Ren, Westat; Robert Fay, Westat; Wendy Van de Kerckhove, Westat; Jianzhu Li, Westat; Tom Krenzke, Westat
Keywords: survey regression estimation; variance smoothing; adult literacy

Unit-Level vs. Area-Level Small Area Estimators, Revisited (View Presentation) — Robert Fay, Westat
Keywords: Pseudo-EBLUP; EBLUP; Fay-Herriot model; Survey regression estimator

A Variable Selection Method for Small Area Estimation Modeling of the Proficiency of Adult Competency (View Presentation) — Weijia Ren, Westat; Jianzhu Li, Westat; Andreea Erciulescu, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat
Keywords: cross-validation; multiple data sources; multivariate LASSO

Combining Survey Data with Other Data Sources Using Small Area Estimation: A Case Study — Golshid Chatrchi, Statistics Canada; Héloïse Gauvin, Statistics Canada; Allen Ding, Statistics Canada
Keywords: Small Area Estimation; Data Integration; Modeling; Area-level Model; Prediction; Small domains

Implementation of Small Area Estimation Techniques in an Economic Survey: The Experience of the Monthly Survey of Manufacturing in Canada (View Presentation) — Sebastien Landry, Statistics Canada
Keywords: Small area estimation; Consistency between estimates; Quality indicators; Confidentiality

Comparison of Mixed Modeling Approaches to County-Level Crop Area Estimation Using Multiple Data Sources (View Presentation) — Michael Bellow, USDA/NASS
Keywords: Adaptive Estimation; Berg-Chandra Model; Hybrid Estimators

County-Level Estimates of U.S. Cancer Screening/Risk Factors: the National Health Interview Survey (NHIS) and the Behavioral Risk Factors Surveillance Survey (BRFSS), 2011–2016 — John Pleis, National Center for Health Statistics; Benmei Liu, National Cancer Institute; Eric Feuer, National Cancer Institute; Yulei He, National Center for Health Statistics ; Van Parsons, National Center for Health Statistics; Bill Cai, National Center for Health Statistics; Machell Town, Center for Disease Control and Prevention
Keywords: Small-area; NHIS; BRFSS; MCMC

Session 210: Contributed Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations

Association of Marijuana Use with Receipt of Preventive Services and Health Behaviors — Meena Khare, NCIRE; Emily Lum, NCIRE; Sri Lekha Tummalapalli, NCIRE; Salomeh Lekha Keyhani, NCIRE
Keywords: BRFSS; Cannabis

Addressing Outcome-Related Nonresponse Through a Doorstep Interview — Wendy Van de Kerckhove, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat
Keywords: non-ignorable; missing not at random (MNAR); informative; bias; PIAAC

Estimating County-Level Vaccination Coverage Using Small Area Estimation with the National Immunization Survey-Child — Zachary H. Seeskin, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Kirk M. Wolter, NORC at the University of Chicago; Kennon Copeland, NORC; Ned English, NORC; Peter Herman, NORC at the University of Chicago; Michael P. Chen, Centers for Disease Control and Prevention; James A. Singleton, Centers for Disease Control and Prevention; Tammy A. Santibanez, Centers for Disease Control and Prevention; Zhen Zhao, CDC; David Yankey, CDC; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Natalie Strerrett, Centers for Disease Control and Prevention; Chalanda S. Smith, Centers for Disease Control and Prevention; Shannon Stokley, Centers for Disease Control and Prevention; Poulami Maitra, NORC at the University of Chicago
Keywords: Random digit dial telephone survey; Fay-Herriot model; James-Stein estimation; Data visualization

Using Statistical Matching to Account for Coverage Bias When Combining Probability and Nonprobability Samples — Edward Mulrow, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Michael Yang, NORC
Keywords: nonprobability sample; statistical matching

Nonparametric Functional Calibration Estimation in Survey Sampling — Hengfang Wang, Iowa State University of Science and Technology; Jae-kwang Kim, Iowa State University; Zhengyuan Zhu, Iowa State University
Keywords: kernel method; reproducing kernel Hilbert space; eigendecomposition; doubly-robust; probability sample

Factors associated with missed opportunities for receipt of tetanus, diphtheria, and acellular pertussis vaccine for adolescents, National Immunization Survey-Teen, U.S., 2018 — Michael P. Chen, Centers for Disease Control and Prevention; David Yankey, CDC; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Tanja Y Walker, Centers for Disease Control and Prevention; Natalie Strerrett, Centers for Disease Control and Prevention; James A. Singleton, Centers for Disease Control and Prevention
Keywords: National Immunization Survey; Vaccination; Missed opportunities; Risk factors; Modeling

Enhancing the Quality of Administrative Data for Statistical Use — Dan Liao, RTI International; Marcus Berzofsky, RTI International; Alexia Cooper, Bureau of Justice Statistics
Keywords: Total Survey Error (TSE) paradigm; integrated data; row-column-cell error framework; nonprobability sample; weighting; imputation

Joint Small Area Estimation for Categorical and Continuous Response Variables Based on a Conditionally Specified Model — Hao Sun, Iowa State University; Zhengyuan Zhu, Iowa State University; Emily Berg, Iowa State University
Keywords: Multivariate ; Mixed effects model; EM algorithm; Bootstrap

A Comparison of Outlier Detection Methods to Detect Irregular Counts in Administrative Data: A Case Study with NIBRS Data — John Bunker, RTI International
Keywords: outliers; outlier detection; quality control; administrative data; establishment surveys; imputation

Application of Propensity Score Matching with Complex Survey Weighted Tobacco Smoking Data — Grace H Choi, University of Pennsylvania Perelman School of Medicine; Cedric H Bien-Gund , University of Pennsylvania Perelman School of Medicine; Robert Gross, University of Pennsylvania Perelman School of Medicine; Kathleen A Brady, Philadelphia Department of Public Health AIDS Activites Coordinating Office ; Pamela A Shaw , University of Pennsylvania Perelman School of Medicine
Keywords: propensity score; propensity score matching; survey weights; complex survey data; smoking; HIV

Model-Based Sampling Using an Online Probability Panel — Meimeizi Zhu, NORC at University of Chicago; Angela Fontes, NORC at University of Chicago; Justine Bulgar-Medina, NORC at University of Chicago
Keywords: sampling; modeling

Fractional Imputation for Multivariate Categorical Missing Data — Lei Zhou; Jae-kwang Kim, Iowa State University
Keywords: Imputation; Fractional Imputation; BIC; log-linear model; Missing data; Categorical data

Effects of Item Order Randomization in an Online National Drug Use Survey — Elise Catherine Amioka, Rocky Mountain Poison & Drug Safety (RMPDS); Joshua Curtis Black, Rocky Mountain Poison & Drug Safety (RMPDS)
Keywords: randomization; drug abuse; online survey design; order effects

A Matching Error Model for Record Linkage — Ben Williams, University of Denver; Lynne Stokes, Southern Methodist University
Keywords: record linkage; non-probability; sampling; survey; matching; linkage

Non-Commercial Catch Estimation for Uku in the Main Hawaiian Islands — Hongguang Ma, NOAA Fisheries Pacific Islands Fisheries Science Center; Marc Nadon, NOAA Fisheries Pacific Islands Fisheries Science Center
Keywords: Hawaii Marine Recreational Fishing Survey; non-commercial catch estimation; uku snapper; stock assessment; the main Hawaiian Islands; bottomfish complex

Research on Pattern Selection in Split Questionnaire Design — Xiaoning Wang, Coummunication University of China; Yongjin Jin, Renmin University of China
Keywords: Split Questionnaire Design; No Response Rate; Sociological Research Method; Mode Selection

Regression-Based Oversampling for Mutual Fund Owners — Abhi Jain, NORC @ the University of Chicago; Meimeizi Zhu, NORC at University of Chicago
Keywords: sampling; logistic; regression; survey

Robust Estimation of Heckman Correction in Complex Sampling Design — Michael Machiorlatti; Sixia Chen, University of Oklahoma Health Sciences Center
Keywords: Complex Sampling Design; Heckman model; Robust Estimation; Sample Selection; Selection Bias

Benchmarking Nonsampled Companies’ Imputed Values of Net Metering Capacity for the Monthly Electric Power Industry Report — David Kinyon, Energy Information Administration
Keywords: establishment surveys; imputation; time series methods; benchmarking; modified Denton method

Session 237: Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion

Confidence Intervals for Proportions in Complex Sample Surveys — Carolina Franco, Census Bureau
Keywords: proportions; confidence intervals; design effect; complex surveys; interval width; effective sample size

Session 239: Synthetic Data and Differential Privacy: Data, Privacy and the Public Good — Invited Papers
Organizer(s): Hang Kim, University of Cincinnati
Chair(s): Katherine Jenny Thompson, US Census Bureau

Synthetic Microdata for Establishment Surveys Under Informative Sampling (View Presentation) — Hang Kim, University of Cincinnati; Joerg Drechsler, Institute for Employment Research; Katherine Jenny Thompson, US Census Bureau
Keywords: disclosure risk; full synthesis; pseudo likelihood; survey weight; synthetic population

Bayesian Pseudo Posterior Mechanism Under Differential Privacy — Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation; Jingchen (Monika) Hu, Vassar College
Keywords: Differential privacy; Pseudo posterior; Pseudo posterior mechanism; Synthetic data

Differentially Private Data Synthesis: Challenges and Opportunities — Fang Liu, University of Notre Dame
Keywords: differential privacy; data sythesiis; multiple syntesis; data privacy; privacy budget; utility

On the Formally Private Use of Public Historical Data to Control Upward Bias in Small Counts — Philip Leclerc, US Census Bureau
Keywords:

Session 269: Combining Information from Multiple Sources for Various Purposes — Topic Contributed Papers
Organizer(s): Andreea Erciulescu, Westat
Chair(s): Weijia Ren, Westat

Sample-Based Calibration of Two Surveys — Jean Opsomer, Westat; Andreea Erciulescu, Westat
Keywords: Raking; Replication

A Bridging Model to Reconcile Statistics Based on Data from Multiple Surveys (View Presentation) — Andreea Erciulescu, Westat; Jean Opsomer, Westat; Jay Breidt, Colorado State University
Keywords: combining data; disaggregation; fishing participation; hierarchical Bayes

Data Reconciliation and Estimation in an Agricultural Survey — Habtamu Benecha, USDA/NASS; Linda J Young, NASS; Denise A Abreu, NASS; Rachael Jennings, USDA/NASS
Keywords: Area-frame ; Census Mailing List; Capture-recapture; Data Reconciliation; Undercoverage; Misclassification

Combining Multiple Data Sources for Erosion Estimation — Emily Berg, Iowa State University
Keywords:

Session 281: The State-of-the-Art Developments with Nonignorable Nonresponse — Invited Papers
Organizer(s): Jiwei Zhao, State University of New York at Buffalo
Chair(s): Ran Tao, Vanderbilt University

Testing for Principal Component Directions Under Weak Identifiability — Davy Paindaveine, Université libre de Bruxelles and Université Toulouse Capitole; Thomas Verdebout, Université libre de Bruxelles; Julien Remy, Université libre de Bruxelles
Keywords: Local asymptotic normality; Principal component analysis; Spiked covariance matrices; Weak identifiability

An Inferential Procedure in a Linear Regression Model Under a Model-Free Missingness Mechanism: Without and with Penalization — Jiwei Zhao, State University of New York at Buffalo
Keywords: nonignorable missing; missingness mechanism; penalization; U-statistics; model-free

The Role of Weights in Regression Modeling and Imputation (Including When There is Nonignorable Nonresponse) (View Presentation) — Phillip S Kott, RTI International
Keywords: Standard model ; Extended model; Item-response model ; Inverse-probability weight; Pfeffermann-Sverchkov adjustment

Semiparametric Response Model with Nonignorable Nonresponse — Jae-kwang Kim, Iowa State University
Keywords: Profile maximum likelihood method; Calibration estimation; Instrumental variable

Session 310: Modern Approaches to Small Area Estimation with Spatial Modeling and Machine Learning — Topic Contributed Papers
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Scott H. Holan, University of Missouri

Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations — Ryan Janicki, U.S. Census Bureau ; Andrew M. Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jerry Maples, U.S. Census Bureau
Keywords: Small Area Estimation; Nonparametric Bayes; Mixture Models; American Community Survey

A Bivariate Dirichlet-Multinomial Small Area Share Model with Application to Joint Estimation of School District Population and Poverty — Jerry Maples, U.S. Census Bureau
Keywords: Small Area Estimation; Dirichlet Multinomial ; Poverty; School Districts; SAIPE

Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data Under Informative Sampling for Small Area Estimation — Paul A. Parker, University of Missouri; Scott H. Holan, University of Missouri
Keywords: Deep learning; Small area estimation; Survey data; Pseudo-likelihood

Interpolating Population Distributions using Public-use Data with Application to the American Community Survey — Matthew Simpson, SAS Institute; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan Bradley, Florida State University
Keywords: Bayesian statistics; density estimation; official statistics; income distribution

Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model — Jonathan Bradley, Florida State University
Keywords: Spatial statistics; Nearest neighborhood; Conjugate; Multivariate analysis

Session 330: Making Sense of Network Data and Randomized Response — Contributed Papers
Chair(s): Stephanie Eckman, RTI International

Applying Neuroscience Research Towards the Application of a Randomized Response Model — Augustus Jayaraj, Cornell University; Sarjinder Singh, Texas A&M Kingsville; Oluseun Odumade, Deloitte & Touche
Keywords: Neuroscience; randomized response; survey sampling; sensitive data

Bipartite Incident Graph Sampling — Melike Alper, Statistisk sentralbyraa; Li-Chun Zhang, University of Southampton
Keywords: Graph sampling; adaptive cluster sampling; indirect sampling; network sampling; T-stage snowball sampling; ancestral observation procedure

Estimation of Relative Risk, Correlation Coefficient, Odds Ratio and a Few Other Parameters Using Randomized Response Techniques — Cheon-Sig Lee, San Jacinto College; Stephen Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M Kingsville
Keywords: Relative Risk; Correlation Coefficient; Odds Ratio; Randomized Response Models; Crossed Model

Introducing the KERGM: An ERG Model Immune to Degeneracy — Bart Blackburn, UCLA Statistics
Keywords: network models; ERGM; degeneracy; social networks

Bayesian Community Detection for Networks with Covariates — Luyi Shen, University of Notre Dame; Arash Ali Amini, UCLA; Lizhen Lin, University of Notre Dame
Keywords: Bayesian community detection; stochastic block model; Network with covariates; covariates dependent random partition prior

Bayesian Regularized Regression for Network Data — Elizabeth Upton, Williams College; Luis Carvalho, Boston University
Keywords: Graph Laplacian; crime modeling; network inference

Session 332: Recent Advances in Analysis with Missing Data — Contributed Papers
Chair(s): Yajuan Si, University of Michigan

Examining Multiple Imputation Techniques to Correct for Measurement Error in Count Data with Excess Zeros — Shalima Zalsha, Southern Methodist University
Keywords: multiple imputation; measurement error; count data; survey; wildlife; hierarchical model

General and Feasible Multiple Imputation Tests — Kin Wai Chan, The Chinese University of Hong Kong
Keywords: fraction of missing information; jackknife; missing data; multiple imputation; method of moments

A Review of Methods in Testing Missingness Mechanisms and Their Applications to Social Survey Data (View Presentation) — Mack Shelley, Iowa State University; Peiyi Lu, Iowa State University
Keywords: Missing value; missing completely at random; missing at random

A Flexible and Efficient Algorithm for Joint Imputation of General Data — Michael Robbins, RAND Corporation
Keywords: Imputation; MCMC; Latent; MICE

Imputation for Non-Normal Multivariate Continuous Data Using Copula Transformation — Zhixin Lun, Oakland University; Ravindra Khattree, Oakland University
Keywords: Missing data; Copula transformation; Skewed data; Multiple Imputation

Session 334: New Methods for Survey Weighting and Variance Estimation — Contributed Papers
Chair(s): Joseph Rodhouse, National Agricultural Statistics Service

Enhancing Sampling Weights Using Raking Method — Yan Wang, University of California, Los Angles; Di Xiong, UCLA; Kathy Phipps, Los Angeles County; Steve Lee, UCLA; Jie Shen, UCLA; Abrey Danial, Los Angeles County; Maritza Cabezas, Los Angeles County; James Crall, UCLA; Honghu Liu, UCLA
Keywords: sampling weight; survey design; raking; non-response; population; balance

Creating Proper Weights with Few PSUs: A Comparison of a GREG Adjustment to Calibration for National Health and Nutrition Examination Survey (NHANES) 2017-2018 Weights — Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Minsun Riddles, Westat
Keywords: NHANES; Weighting; GREG; Calibration

Creating Sampling Weights Through an Iterative Raking Procedure — Mitch Sevigny, Craig Hospital
Keywords: Weighting; Raking; Sample; Population; Iterative; Weights

Assessment of Respondent-Driven Sampling Bootstrap Variance Estimators — Isabelle Beaudry, Pontificia Universidad Católica de Chile; Miles Q. Ott, Smith College
Keywords: Respondent-Driven sampling; Survey sampling methodology; Hard-to-reach populations; Network inference; Social networks; Bootstrap variance estimators

Challenges Related to Regression Composite Estimation in Statistics Canada's Labour Force Survey (View Presentation) — Martin Pantel, Statistics Canada; Jack Gambino, Statistics Canada; Wisner Jocelyn, Statistics Canada; Emmanuel Benhin, Statistics Canada; Dany Faucher, Statistics Canada
Keywords: composite estimation; rotating panels; diagnostics; labour

Session 379: Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion

Weighting Methods in Surveys — David Haziza, Université de Montréal
Keywords: Complex survey data; Calibration; Weithing system

Session 451: 125 Years of Representative Sampling: Important Contributions in the History of Survey Statistics — Topic Contributed Papers
Organizer(s): Hans Kiesl, Regensburg University of Applied Sciences
Chair(s): Joerg Drechsler, Institute for Employment Research

Ralph Folsom’s 1991 Social Statistics Proceedings Paper: A Seminal Contribution to Calibration Weighting for Nonresponse You Likely Never Heard Of (View Presentation) — Jeremy Aldworth, RTI International; Phillip S Kott, RTI International
Keywords: Raking; Linear-regression weighting; logistic response model

Important Contributions to the Theory of Representative Sampling After the 1960s (View Presentation) — John N. K. Rao, Carlton University
Keywords: probabiliity sampling ; theoretical foundations; analysis of survey data; resampling methods; multiple frame surveys; imputation for missing data

Probability vs. Nonprobability Sampling? From the Birth of Survey Sampling to the Present Day — Graham Kalton , Westat
Keywords: probability sampling; nonprobability sampling; calibration; history

Leslie Kish's Contributions to Survey Sampling — Raphael Nishimura, University of Michigan; James Lepkowski, University of Michigan; Steve Heeringa, University of Michigan; James Wagner, University of Michigan
Keywords: Survey sampling; Survey statistics; History of statistics

Session 453: Recursive Partitioning for Modeling Survey Data and Randomized Trials — Topic Contributed Papers
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Brady T West, University of Michigan

Identifying Cluster-Level Predictors While Controlling for Unit-Level Characteristics in Clustered Data (View Presentation) — Elizabeth Petraglia, Westat
Keywords: rpms; predictive modeling; randomized trial; CRS; child passenger safety

A Comparison of Classification and Regression Tree Methodologies When Modeling Survey Nonresponse — William Cecere, Westat; Amy Lin, Westat; Jennifer Kali, Westat; Michael Jones, Westat
Keywords: classification trees; nonresponse bias; response propensities; survey weights; weighting class adjustments

Exploring R {Rpms} to Predict Perceived Respondents Burden in the Consumer Expenditure Interview Survey — Daniel Yang, Bureau of Labor Statistics
Keywords: Survey design; Respondent burden; Proxy indicator; Nonparametric; Tree model; Random forest

Fitting Classification Trees Accounting for Complex Survey Design — Minsun Riddles, Westat; Jean Opsomer, Westat; Elizabeth Petraglia, Westat
Keywords: nonresponse adjustment; decision tree; prediction

Assessing the Relationship Between Proxy Burden Measures and Survey Response in a Longitudinal Household Survey Using Regression Trees — Morgan Earp, National Center for Health Statistics; Brandon Kopp, Bureau of Labor Statistics; John Dixon, Bureau of Labor Statistics
Keywords: Respondent Burden; Regression Trees; Survey Response; Current Population Survey

Session 472: Paradata and Responsive Survey Design — Contributed Papers
Chair(s): James Wagner, University of Michigan

Evaluation of Key Performance Indicators for Interviewer Falsification Suspicion from Paradata and Interview Data — Tom Krenzke, Westat; Weijia Ren, Westat; Wendy Van de Kerckhove, Westat; Stephanie Mendoza, Westat
Keywords: Data validation; Survey methodology

Eliciting Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis vs. Literature Review (View Presentation) — Brady T West, University of Michigan; Michael R Elliott, University of Michigan; James Wagner, University of Michigan; Stephanie Coffey, University of Maryland - JPSM; Xinyu Zhang, University of Michigan
Keywords: Responsive Survey Design; Bayesian Analysis; Paradata; Survey Methodology; Data Collection; Response Propensity Modeling

A Bayesian Model-Based Decision Rule in Responsive Survey Design — Xinyu Zhang, University of Michigan; James Wagner, University of Michigan; Michael R Elliott, University of Michigan; Brady T West, University of Michigan; Stephanie Coffey, University of Maryland - JPSM
Keywords: Responsive Survey Design; Stopping Rule; Data Collection; Bayesian Approach; Cost Model; Propensity Model

Tell Me the Truth – How Burdensome Was This Online Survey? a Look at Self-Reported vs. Interviewer Collected Feedback on an Online Expenditure Diary (View Presentation) — Laura Erhard, Bureau of Labor Statistics; Parvati Krishnamurty, Bureau of Labor Statistics
Keywords: Self-Administration; Self-Reporting; Burden; Survey Feedback; expenditure diary; Consumer Expenditure Survey

Visualizing Respondent Paths in Web Surveys to Improve Survey Design — Renee Ellis, U.S. Census Bureau
Keywords: paradata; data visualization; survey improvement; web surveys

Evaluating the Impact of the Loss of Telephone Follow-Up (TFU) Operations on the Service Monthly and Annual Sample Maintenance (SMASM) Quarterly Birth Sampling — Micah Tyler, U.S. Census Bureau; Michael Owen, U.S. Census Bureau; Franklin Sell, U.S. Census Bureau
Keywords: Two-Phase Sampling; Telephone Follow-Up; Industry Classification; Measure of Size; Business Births; Sample Maintenance

Session 474: New Advances in Modeling Survey Data — Contributed Papers
Chair(s): Sunghee Lee, University of Michigan

Hierarchical Bayesian Models for Areal Count-Valued Data with Measurement Error (View Presentation) — Saikat Nandy, University of Missouri; Scott H. Holan, University of Missouri
Keywords: American Community Survey; Bayesian Hierarchical Models; latent Gaussian process; Measurement error; Moran's basis functions; non-Gaussian data

Comparative Study of MSE Estimates for Small Area Models Under Different Sampling Variances — Kyle Irimata, U.S. Census Bureau; Gauri Datta, U.S. Census Bureau/University of Georgia; Jerry Maples, U.S. Census Bureau
Keywords: Small area estimation; Fay Herriot; Mean squared error

Multivariate Beta-Binomial Models for the Analysis of Food Security Surveys — Michelle Lacey, Tulane University; Aleksandra Gorzycka-Sikora, University of Miami; Nancy Mock, Tulane University
Keywords: multivariate modeling; beta-binomial; Bayesian methods; food security; consumption surveys

Evaluation of Multi-Class Classification Models for Census Mindsets — Mary H. Mulry, U.S. Census Bureau; Steven Scheid, U.S. Census Bureau; Darcy Steeg Morris, U.S. Census Bureau
Keywords: multi-class AUC; 2020 CBAMS sample survey; 2020 Census Communications Campaign

Multilevel Matching in Natural Experimental Studies: Application to Stepping up Counties — Niloofar Ramezani, George Mason University; Alex Breno, George Mason University; Benjamin Mackey, George Mason University; Alison Evans Cuellar, George Mason University; Jill Viglione, University of Central Florida; April Chase, University of Central Florida; Jennifer Johnson, Michigan State University; Faye Taxman, George Mason University
Keywords: Hierarchical Data; Matching Methods; Stepping Up; Survey Study Design; Logistic Models

Variable Selection in Sequential Hierarchical Regression Imputation — Qiushuang Li, University At Albany; Recai Yucel, STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health
Keywords: Clustered data; missing data; Markov chain Monte Carlo; multiple imputation; sequential hierarchical imputation; spike-and-slab variable selection

Applying Bayesian Methods to Estimate Human Papillomavirus (HPV) Vaccination by Public Health Districts (PHD) in Georgia (View Presentation) — David Yankey, CDC; Michael P. Chen, Centers for Disease Control and Prevention; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Benjamin Fredua, Leidos Health Incorporated ; Cassandra S. Pingali, Centers for Disease Control and Prevention; Mary Ann K. Hall, Eagle Global Scientific; James A. Singleton, Centers for Disease Control and Prevention; Shannon Stokley, Centers for Disease Control and Prevention
Keywords: National Immunization Survey; Vaccination; Public health District; HPV; Bayesian; MCMC

Session 475: Recent Advances in Sample and Survey Design — Contributed Papers
Chair(s): Minsun Riddles, Westat

Methodological Challenges in Estimating the Size of the Jewish Population in Greater Philadelphia — David Marker, Westat; Shelley Brock Roth, Westat; Darby Steiger, Westat; Jill DeMatteis, Westat
Keywords: Address-based sampling; Sponsorship; Coverage; Push-to-web

Sample Improvement for the Quarterly Financial Report — Forest Krueger
Keywords: Sample; Stratum; Cutoff

Predicting Recruitment Success in Respondent Driven Sampling — Sunghee Lee, University of Michigan
Keywords: respondent driven sampling; Noncooperation; Nonresponse

Going Online: Results from the Consumer Expenditure Survey’s Large Scale Online Diary Feasibility Test — Parvati Krishnamurty, Bureau of Labor Statistics
Keywords: response rate; online diaries; survey redesign; mode; expenditure diary

Designing a National Suicide Risk Surveillance System Among Veterans: Assessing Social and Community Environments with National Data (ASCEND) for Veteran Suicide Prevention — Christopher Johnson, NORC at the University of Chicago; Evan Nathan-Herring, NORC at the University of Chicago; Claire Hoffmire, U.S. Department of Veterans Affairs; Eileen Peng, Minuteman Technology Services; Vincent Welch, NORC at the University of Chicago; Nathaniel Mohatt, Rocky Mountain MIRECC, Denver VAMC
Keywords: complex surveys; sample design; stratified sample; population-based surveys; surveillance

Surveying by One of Canada’s Self-Governing Indigenous Governments: Sampling Lessons Learned from the Nisga’a Lisims Government — Adam Perry, Nisga’a Lisims Government; Michelle Vanchu-Orosco, Independent Consultant; Hannes Edinger, Big River Analytics ; Shannon West-Johnson, Nisga’a Lisims Government
Keywords: Sampling; Self-governing Indigenous Government (SGIG); Nisga’a Lisims Government (NLG); Hybrid; Response rate

Effects of Misclassification in Sampling Stratification on Survey Estimates — Tiandong Li, Health Resources and Services Administration; Tracy Mattingly, the Census Bureau
Keywords: misclassification; frame quality; strata jumper

Applying Performance Criteria to Audit Sample Designs: Reliability, Innovation and Design — Turner Bond, HUD - Office of Inspector General
Keywords: SAS; survey samples; statistical sampling; sampling; simulation; audit

Session 476: Innovations in Analytic Approaches for Survey Data — Contributed Papers
Chair(s): Terrance Savitsky, Bureau of Labor Statistics

Bayesian Hierarchical Models for the Prediction of American Elections — Brittany Alexander, Texas A&M University; Jeffrey Hart, Texas A&M University
Keywords: political polling; American elections; hierarchical models

Comparing Results Between Survey Analysis Software and NCI’s Joinpoint Software for Trend Analyses of Survey Data — Jennifer Rammon, National Center for Health Statistics/CDC; Kate Hubbard, National Center for Health Statistics/CDC; Deanna Kruszon-Moran, National Center for Health Statistics; Robin Cohen, National Center for Health Statistics/CDC; Margaret Carroll, National Center for Health Statistics/CDC
Keywords: trend analyses; survey data; NHIS; NHANES; Joinpoint; piece-wise regression

Adherence and Reliability of Mobile Health App-Based Surveys in the Electronic Framingham Heart Study — Chathurangi H Pathiravasan, Department of Biostatistics, School of Public Health, Boston University; Yuankai Zhang, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health; David McManus, University of Massachusetts; Emelia J. Benjamin, Department of Medicine, and Department of Epidemiology, Boston University ; Belinda Borrelli, Department of Health Policy & Health Services Research, Boston University; Honghuang Lin, Section of Computational Biomedicine, Department of Medicine, Boston University ; Amy Dunn, School of Medicine, Framingham Heart Study; Eric Schramm, CareEvolution; Chunyu Liu, Department of Biostatistics, Boston University School of Public Health, Boston; Joanne M. Murabito, Section of General Internal Medicine, Department of Medicine, Boston University
Keywords: eCohort; mobile health ; Framingham Heart Study ; physical activity index ; reliability ; adherence

Quasi-Generalized Score Tests for Complex Samples — Yan Liu, FDA/CDRH
Keywords: Complex sample; Quasi-generalized score tests; survey data; Taylor linearization

Efficient and Robust Propensity-Score-Based Methods for Finite Population Inference with Non-Probability Epidemiologic Cohorts — Lingxiao Wang, University of Maryland, College Park; Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute ; Hormuzd Katki, US National Cancer Institute
Keywords: Non-Probability sample; Complex survey sample; Propensity score weighting; Taylor series linearization variance; Jackknife variance estimation; Weight scaling

Hybrid of Crossed Model and a New Unrelated Question Model for Two Sensitive Characteristics — Stephen Sedory, Texas A&M University-Kingsville; Renhua Zheng, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M Kingsville
Keywords: randomized response; estimation of proportions; unrelated question model

Session 517: Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion

Developments in Address Based Sampling — Jill DeMatteis, Westat
Keywords: Survey; Methods

Scaling up Smartphone Data Collection: Can it Work? — Christopher Antoun, University of Mayland; Florian Keusch, University of Mannheim; Frauke Kreuter, University of Maryland, University of Mannheim & IAB
Keywords: mobile data collection; sensors; passive data collection; mobile web surveys

Bridging Data Science and Survey Methodology in Research and Educational Programs — Yajuan Si, University of Michigan
Keywords: data science; survey methodology; research; curriculum; integration

Session 527: New Approaches to Model-Assisted Survey Estimation with Informative Weights — Invited Papers
Organizer(s): Eric V Slud, US Census Bureau
Chair(s): Barry Graubard, National Cancer Institute

A Pairwise Likelihood Method for Survey Data with Sampling Weights Incorporated Under Two-Level Models — Grace Yi, Unievrsity of Western Ontario; John N. K. Rao, Carlton University; Haocheng Li, Roche Canada
Keywords: Multi-level model; Pairwise likelihood; Inferential procedure

Bayesian Mixed Models Under Informative Sampling (View Presentation) — Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
Keywords: Pseudo-Posterior distribution; Cluster sampling; Multistage sampling; Survey sampling; Sampling weights; Markov Chain Monte Carlo

Nonidentifiability of Mixed-Model Parameters under Informative Sampling using only Single-Inclusion Weights (View Presentation) — Eric V Slud, US Census Bureau
Keywords: Biased Sampling; Consistency; Informative Sampling; Random weights; Superpopulation; Two-level model

Session 557: Current Trends in Bayesian Survey Sampling: A Celebration of Glen Meeden's 80th Birthday — Invited Papers
Organizer(s): Malay Ghosh, University of Florida
Chair(s): Malay Ghosh, University of Florida

A Bayesian Approach to Linking a Survey and a Census — Bal Nandram, Worcester Polytechnic Institute
Keywords: Data integration; Iterative re-weighted least squares; Metropolis sampler; Multinomial-Dirichlet model; Nested error regression model; Projection

Bayesian inference using survey sampling data when sampling is informative (View Presentation) — Joseph Sedransk, University of Maryland and Case Western Reserve University
Keywords:

A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations — Gauri Datta, U.S. Census Bureau/University of Georgia
Keywords:

On the use of estimated Bayes factors in latent-class regression modeling — Joseph L. Schafer, U.S. Census Bureau
Keywords: Bayesian hypothesis testing; classification; EM algorithm

Session 574: Survey and Administrative Data Linkage in a European Survey of Wealth — Topic Contributed Papers
Organizer(s): Arthur B Kennickell, Stone Center, CUNY Graduate Center
Chair(s): Anne Parker, Internal Revenue Service

Who's Asking? Interviewer Effects on Unit Nonresponse in the Household Finance and Consumption Survey (View Presentation) — Nicolas Albacete, Oesterreichische Nationalbank; Pirmin Fessler, Oesterreichische Nationalbank; Peter Lindner, Oesterreichische Nationalbank
Keywords: unit nonresponse; interviewer effects; interviewer survey; HFCS

Debt Affordability After Retirement, an Investigation of Survey Data and Administrative Databases — Mauro Mastrogiacomo, Dutch National Bank
Keywords: debt affordability; transmission of interest rate shock; voluntary repayments; loan level data; Cragg log-normal hurdle model

Optimal Sampling Design with Administrative Sources for Household Finance Surveys — Andrea Neri, Banca d'Italia
Keywords: Household finance surveys; optimal stratification; register data

Modifying the Sampling Design of the Panel on Household Finances in Wave 4: Aims and Challenges (View Presentation) — Panagiota Tzamourani, Deutsche Bundesbank; Rene Bernard, Deutsche Bundesbank; Tobias Schmidt, Deutsche Bundesbank
Keywords: Panel on Household Finances; sampling design; oversampling; wealth distribution

Household Indebtedness in the Survey of Household Finances and the Central Credit Register: A Comparative Analysis for Spain — Sandra García-Uribe, Banco De Espana; Olympia Bover, Banco de España; Laura Crespo, Banco de España
Keywords: household finance; administrative data; survey data

Session 588: GSS/SRMS/SSS Student Paper Award Winners — Topic Contributed Papers
Organizer(s): William Cecere, Westat
Chair(s): Jean Opsomer, Westat

An Overlooked Bias-Variance Tradeoff for Average Treatment Effects in Multisite Randomized Trials — Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
Keywords: causal inference; experimental design; hierarchical model; random effects model; bias-variance tradeoff; multisite trial

Robust Bayesian Non-Parametric Inference for Non-Probability Samples: An Attempt to Combine Sensor-Based Records with Traditional Survey Data (View Presentation) — Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
Keywords: Big Data; doubly robust adjustment; pseudo-weighting; prediction modeling; Bayesian additive regression trees; naturalistic driving study

Multifile Record Linkage and Duplicate Detection via a Structured Prior for Partitions — Serge Aleshin-Guendel, University of Washington; Mauricio Sadinle, University of Washington
Keywords: Partitions; Multipartite Matchings; Entity Resolution; Record Linkage; Duplicate Detection

Transformed Fay-Herriot Model with Measurement Error in Covariates — Sepideh Mosaferi, Iowa State University; Rebecca C. Steorts, Duke University
Keywords: small area estimation; official statistics; Bayesian methods; jackknife; parametric bootstrap; simulation studies

Privacy for Spatial Point Process Data — Adam Walder, Pennsylvania State Unversity
Keywords: Privacy; Spatial; Bayesian Privacy; Conditional Predictive Ordinate; Spatial Disease Data

American Association for Public Opinion Research 2020
Virtual Conference, June 11 - June 12, 2020

Project Data Sphere Data Integration Initiatives — Steven B. Cohen, RTI International; Jennifer Unangst, RTI International
Keywords: project data sphere, data integration, health disparities, MEPS

The Impact of Voicemail Message Content on RDD Cell Phone Response Rates in the National Immunization Surveys — Erik Amonson, NORC at the University of Chicago; Megha Ravanam, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago, Chicago, IL; Emily Myers, NORC at the University of Chicago; Holly A. Hill, National Center for Immunization and Respiratory Diseases; Laurie D. Elam-Evans, National Center for Immunization and Respiratory Diseases; Chalanda Smith, National Center for Immunization and Respiratory Diseases; S. Cassandra Pingali, National Center for Immunization and Respiratory Diseases
Keywords: national immunization surveys, voicemail message, pre-recorded message, cell phone RDD, response rates

Evaluation of the Impacts of Neustar Caller Name Optimization and Branded Caller ID on the National Immunization Survey-Child — Erin Foster, NORC at the University of Chicago; Megha Ravanam, NORC at the University of Chicago; Erik Amonson, NORC at the University of Chicago; Amie Conley, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago, Chicago, IL; Laurie D. Elam-Evans, National Center for Immunization and Respiratory Diseases; S. Cassandra Pingali, National Center for Immunization and Respiratory Diseases; Chalanda Smith, National Center for Immunization and Respiratory Diseases
Keywords: cell phone sample, Neustar, response rates

Improving the Question Appraisal System (QAS): Moving Further Away from Black Magic and Black Boxes — Melinda Scott, ICF; Matt Jans, ICF; Ashley Schaad, InMoment
Keywords: question pretesting, questionnaire design, question appraisal system (QAS)