Proceedings of the Joint Statistical Meetings 2018 Survey Research Methods Section
Vancouver, British Columbia, Canada, July 28 - August 2, 2018

Session 25: Recent Research on Current Population Survey — Topic Contributed
Organizer(s): Yang Cheng, US Census Bureau
Chair(s): Stephen Ash, US Census Bureau

Optimal AK Composite Estimators in Current Population Survey (View Presentation) — Yang Cheng, US Census Bureau; Jun Shao, University of Wisconsin; Yu Zhou, East China Normal University
Keywords: Composite Estimator; Current Population Survey; Mean Square Error; Quadratic Form; Sample Rotation

Understanding Variance Estimator Bias in Stratified Two-Stage Sampling (View Presentation 1)(View Presentation 2) — Khoa Dong, U.S. Census Bureau; Timothy Trudell, US Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
Keywords: Current Population Survey; Variance Estimator; Balanced Repeated Replication; Bias; PSU Matching

Domain Estimation and Successive Difference Replication (View Presentation) — Timothy Trudell, US Census Bureau; Khoa Dong, U.S. Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
Keywords: Variance Estimation; Systematic Sampling; Successive Difference Replication; Domain Estimation; Weight Replication; Current Population Survey

Current Population Survey State GVFs and Design Effects (View Presentation) — Tamara Zimmerman, Bureau of Labor Statistics; Edwin Robison, Bureau of Labor Statistics
Keywords: Successive Difference Replication; Generalized Variance Functions; Design Effects; Current Population Survey

Session 41: Advances in Sampling Techniques and Tools — Contributed
Chair(s): Brady T. West, University of Michigan

Probability-Proportional-To-Size Ranked Set Sampling from Stratified Populations (View Presentation) — Omer Ozturk, Ohio State University
Keywords: Judgment post stratification; Ranking error; Design efficiency; Post stratification; Probability sampling; Judgment stratification

Using Longitudinal Weights in Analyzing Panel Data (View Presentation) — Hans Walter Steinhauer, Leibniz Institute for Educational Trajectories; Sabine Zinn, Leibniz Institute for Educational Trajectories

A Sampling Design for an Ordered Population (View Presentation) — Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
Keywords: sampling design; variance estimation; ordered population; unequal probability sampling

Preferential Recruitment Modeling for Respondent-Driven Sampling — Katherine McLaughlin, Oregon State University
Keywords: respondent-driven sampling; network sampling; peer recruitment; preferential recruitment; hidden population; rational choice model

Ratio of Vector Lengths as an Indicator of Sample Representativeness for a Multipurpose Survey — Hee-Choon Shin, CDC/NCHS
Keywords: Sampling; Representative Sample; Vector; Subspace; Vector Length

Dealing with Inaccurate Measures of Size in Two-Stage Probability Proportional to Size Sample Designs: Applications in African Household Surveys (View Presentation) — Graham Kalton, Westat; Ismael Flores Cervantes, Westat; Carlos Arieira, Westat; Mike Kwanisai, Westat; Jehun Kim, Westat; Elizabeth Radin, ICAP at Columbia University; Suzue Saito, ICAP at Columbia University; Anindya De, U.S. Centers for Disease Control and Prevention; Stephen McCracken, U.S. Centers for Disease Control and Prevention; Paul Stupp, U.S. Centers for Disease Control and Prevention
Keywords: Design effect; clustering effect; weighting effect; equal probability sample; equal subsample size

Session 47: Statistical Analysis of Linked Data — Invited
Organizer(s): Ying Han, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
Chair(s):Daniel Bonnery, University of Maryland

Outlier Robust Inference Using Probabilistically Linked Data (View Presentation) — Nicola Salvati, University of Pisa; Suojin Wang, Texas A&M University; Enrico Fabrizi, Catholic University of Sacro Cuore; Raymond Chambers, University of Wollongong
Keywords: Linkage Errors; Estimating Equations; Bias Correction; Secondary Analysis; Regression Analysis

Entity Resolution with Societal Impacts in Statistical Machine Learning (View Presentation) — Rebecca C. Steorts, Duke University
Keywords: Syrian conflict; entity resolution; record linkage; unique entity resolution; locality sensitive hashing

A Bayesian Approach for Deduplication, Record Linkage, and Inference with Linked Data (View Presentation) — brunero liseo, Sapienza Università di Roma; Andrea Tancredi, Sapienza Università di Roma; Rebecca C. Steorts, Duke University
Keywords: Clustering; Entity Resolution; Official Statistics; Hit-and-Miss Model

Session 114:Survey Design and Data Adjustment Decisions in Mixed-Mode Surveys — Topic Contributed
Organizer(s): Zeynep Tuba Suzer -Gurtekin, ISR, University of Michigan
Chair(s):David Biagas, National Agricultural Statistics Service

Evaluating Data Quality in a Randomized Sequential Mixed-Mode Survey Experiment — Joseph Sakshaug, German Institute for Employment Research; Alexandru Cernat, University of Manchester
Keywords: sequential mixed-mode; total survey error; measurement error; nonresponse error

The Challenge of Creating Web-Push Surveys of the General Public — Don Dillman, Washington State University
Keywords: web-push surveys; response rates; non-response error; mixed-mode data collection

Adjustment Methods Between Web-Mail and Telephone Data Collections in the Surveys of Consumers (View Presentation) — Paul Schulz, ISR, University of Michigan; Zeynep Tuba Suzer -Gurtekin, ISR, University of Michigan; Caitlin Beach, University of Michigan; Yingjia Fu, University of Michigan; Edward Ellcey, University of Michigan; Richard Curtin, University of Michigan
Keywords: Web-push mail surveys; mixed-mode surveys; mode effects; consumer index

Mode-Based Measurement Differences in Attitudes Measures Within the Surveys of Consumers (View Presentation) — Zeynep Suzer-Gurtekin; Paul Schulz, ISR, University of Michigan; Caitlin Beach, University of Michigan; Yingjia Fu, University of Michigan; Edward Ellcey, University of Michigan; Richard Curtin, University of Michigan
Keywords: web-push mail surveys; mixed-mode surveys; mode-effects; consumer index

Session 135:Nonresponse Adjustment and Weighting — Contributed
Chair(s):Dan Liao, RTI International

Investigation of Alternative Calibration Estimators in the Presence of Nonresponse — Daifeng Han, Westat; Richard Valliant, University of Michigan
Keywords: calibration weighting; nonresponse adjustment; variance estimation; raking

An Evaluation of Interviewer Observation Accuracy in the Food Acquisition and Purchasing Survey Pilot Study (View Presentation) — Weijia Ren, Westat; Tom Krenzke, Westat; Brady T. West, University of Michigan
Keywords: Non-response bias; weighting adjustments

Evaluating Nonresponse Weighting Adjustment for the Population-Based HIV Impact Assessments Surveys: On Incorporating Survey Outcomes (View Presentation) — Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University; Rommel Bain, U.S. Centers for Disease Control and Prevention
Keywords: nonresponse adjustment; survey outcome; response propensity; principal component analysis; cluster analysis; gradient boosting

Evaluation of Nonresponse Adjustment Options on the National Health and Nutrition Examination Survey — William Cecere, Westat; Minsun Riddles, Westat; Te-Ching Chen, National Center for Health Statistics
Keywords: survey weights; logistic regression; nonresponse adjustment; classification trees

Empirical Study on the Size of Nonresponse Bias — Ann-Marie Flygare, Örebro university; Dan Hedlin, Stockholm university
Keywords: non response bias; true values; mail survey

Estimating Propensity of Survey Response by Mode Type Using Regression Trees (View Presentation) — Gavin Corral, USDA NASS; Tyler Wilson, USDA NASS
Keywords: Survey Mode; Survey Response; Propensity; Regression Tree; Record Impact; Response Rates

Nonresponse Bias Analysis for National Survey on Drug Use and Health Using Small Area Estimation Methodology (View Presentation) — Akhil Vaish, RTI International; Matthew Williams, SAMHSA/CBHSQ; Kathy Spagnola, RTI International; Ana Saravia, RTI International; Neeraja Sathe, RTI International
Keywords:nonresponse bias; small area estimation (SAE); National Survey on Drug Use and Health (NSDUH); survey-weighted hierarchical Bayes

Session 148: Administrative Records for Survey Methodology and Evidence Building — Invited
Organizer(s): Asaph Young Chun, US Census Bureau
Chair(s):Rochelle Martinez, Office of Management and Budget

Administrative Records for Survey Methodology and Evidence Building (View Presentation 1)(View Presentation 2)(View Presentation 3) — Asaph Young Chun, US Census Bureau; Bruce Meyer, University of Chicago; Paul Biemer, RTI Internatinoal
Keywords: administrative records; administrative data; total survey error; data quality; survey cost; evidence-based policy making

Session 235:Best Student Papers Awarded by the ASA Consortium of GSS/SSS/SRMS — Topic Contributed
Organizer(s): Asaph Young Chun, US Census Bureau
Chair(s): Stephanie Ewert Galvin, US Census Bureau

A Classical Regression Framework for Mediation Analysis with Applications to Behavioral Science (View Presentation) — Christina Saunders
Keywords: mediation; causal inference; pathway analysis; direct and indirect effects

Stochastic Interventions on Continuous Instruments:Estimating the Effects of Visitation on Recidivism (View Presentation) — Jacqueline A Mauro, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
Keywords: Causal Inference; Instrumental Variables; Recidivism; Influence Functions; Criminal Justice; Nonparametrics

Practical Bayesian Inference for Record Linkage (View Presentation) — Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
Keywords:Record Linkage; Markov chain Monte Carlo; Mixture Models; Bayesian Inference

Constructing Independent Evidence from Regression and Instrumental Variables with an Application to the Effect of Violent Conflict on Altruism and Risk Preference (View Presentation) — Bikram Karmakar, University of Pennsylvania; Dylan Small, University of Pennsylvania
Keywords: Causal inference; Evidence factors; Instrumental variables; Preferences; Sensitivity analysis; War

Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling (View Presentation) — Luis Fernando Campos, Harvard University
Keywords: Survey Sampling; Electricity Consumption; Gaussian Process; Functional Data; Model-Assisted Estimation; Finite Population Inference

Session 237: SPEED: Missing Survey Data: Analysis, Imputation, Design, and Prevention — Contributed
Chair(s): Stas Kolenikov, Abt Associates

Estimating Survey Attrition Phases Using Change-Point Models (View Presentation) — Camille Hochheimer, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Alex H Krist, Virginia Commonwealth University
Keywords: attrition; dropout; survey; questionnaire; change-point hazard

Census Efforts to Reduce the Undercount of Young Children (View Presentation) — Gina Walejko, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau
Keywords: census; non-response; undercount

Is There a 'safe Area' Where the Nonresponse Rate Has Only a Modest Effect on Bias Despite Non-Ignorable Nonresponse? (View Presentation) — Dan Hedlin, Stockholm university
Keywords: response propensity; nonresponse bias

Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling (View Presentation) — Per Andersson, Stockholm University
Keywords: Bias; Auxiliary variable; Calibration equation; Distance measure

A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias (View Presentation) — Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
Keywords: Sample Weight adjustment; Nonresponse bias; NHANES; Simulation

Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey (View Presentation) — Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
Keywords: Adjusted degrees of freedom; Fraction of missing information; Missing data; Multiple imputation; National Hospital Ambulatory Medical Care Survey

Nonresponse Bias Studies for Department of Defense Surveys (View Presentation) — Eric Falk, Department of Defense/Office of People Analytics
Keywords: Nonresponse bias; surveys of the military; Estimates versus Population values

Exploring Reminder Calls Intended to Increase Interviewer Compliance with Data Collection Protocols (View Presentation) — Amanda Nagle, U.S. Census Bureau; Kevin Tolliver, U.S. Census Bureau
Keywords: CAPI; Interviewer Compliance; Auto Calls; Reminder Calls

Effect of the Survey Name on Response Rates and Survey Estimates — David McGrath, Department of Defense Office of People Analytics
Keywords: Survey; Nonresponse; Vote; Election; Military

Early Bird Gets the Worm? Effects of Differential Incentives on Mode Choice and Response Rates (View Presentation) — Patricia LeBaron, RTI International; Nathaniel Taylor, RTI International; Leah Fiacco, RTI International; Melissa Helton, RTI International; Amy Henes, RTI International; Stephen King, RTI International
Keywords: Response rates; Incentives; Multi-mode; Survey methods

Nonresponse Bias Analysis for the Medicare Current Beneficiary Survey — Kirk Wolter, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago
Keywords: non-respondents; hard-to-contact respondents; longitudinal study; attrition rate; attributes; differences

Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse (View Presentation) — Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
Keywords: statistical learning; predictive modeling; nonresponse; panel management; panel attrition

Does Sequence of Imputed Variables Matter in Hot Deck Imputation for Large-Scale Complex Survey Data? (View Presentation) — Amang Sukasih, RTI International; Peter Frechtel, RTI International; Karol Krotki, RTI International
Keywords: cyclical tree based hot deck; complex survey data; nonresponse bias

Tree-Based Doubly-Robust Nonparametric Multiple Imputation (View Presentation) — Darryl Creel
Keywords:decision trees; approximate bayesian bootstrap; prediction model; response propensity model; double protection

Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey — Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
Keywords: Multiple imputation; responsive survey design; propensity score; combining data from multiple sources; multi-phase survey; calibration

Outcomes of Suicide Risk Assessment and Safety Planning in a Longitudinal Mixed Mode Survey of Patients with Complex Psychiatric Disorders (View Presentation) — Danna Moore, Washington State University-Social & Economic Science Research Center; John Fortney, University of Washington, School of Medicine; Dan Vakoch, Washington State Univesity-Social and Economic Sciences Research Center
Keywords: longitudinal; mixed mode; surveys; suicide intervention; safety planning

You're Not from Around Here, Are You?": How Regional Accent Affects Survey Cooperation — Matt Jans, ICF; James Dayton, ICF; Matt McDonough, ICF
Keywords: interviewers; interviewer effects; RDD; phone survey; data collection; survey error

Imputation of Small Number of New Questions in the Large Survey — Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
Keywords: Bootstrap; Multiple Imputation; CART; Sensitivity; Specificity

Session 252: Replicate Weights and Variance Estimation — Contributed
Chair(s): Christine Wells, UCLA

Why Weight, Replicate Now! The Use of Replicate Weights for Complex Survey Data Analysis in SPSS — Kelly Lin, Marketing Systems Group; Jeffrey S. Bareham, Marketing Systems Group; Ashley Hyon, Marketing Systems Group
Keywords:replicate weights; complex survey analysis; variance estimation; SPSS

Population Based Case Control Studies with Frequency Matching: Capturing a Further Component of Variability (View Presentation) — Sabrina Zhang, Westat; Ralph DiGaetano, Westat; Jane Li, Westat
Keywords: population based case-control studies; frequency matching; analysis of survey data; complex surveys; sample weights; poststratification

Jackknife and Other Replication Methods with a Reduced Number of Replicates (View Presentation) — Stephen Ash, US Census Bureau
Keywords: variance estimation; jackknife estimator; balanced repeated replication; successive difference replication

Strategies for Minimizing Unequal Weighting Effects in Two-Phase Sampling for Nonresponse (View Presentation) — Dan Liao, RTI International; Paul Biemer, RTI Internatinoal; Darryl Cooney, RTI International
Keywords: weight calibration; regression trees; mean square error; paradata; response propensity; sample allocation

Variance Estimation Under Imputation Using the Rescaling Bootstrap (View Presentation) — Christian Bruch, University of Mannheim
Keywords: Imputation; Variance estimation; Rescaling bootstrap; Nonresponse; Monte Carlo simulation

Estimating HIV Incidence Using Complex Survey Data — Jean Opsomer, Westat; Ismael Flores Cervantes, Westat; Anindya De, U.S. Centers for Disease Control and Prevention; Rommel Bain, U.S. Centers for Disease Control and Prevention; Paul Stupp, U.S. Centers for Disease Control and Prevention
Keywords: HIV Incidence; variance estimation; measurement error; replication; Taylor series linearization; HIV population-based survey

On Generalized Variance Functions for Sample Means and Medians (View Presentation) — Justin McIllece, Bureau of Labor Statistics
Keywords: CPS; GVF; generalized variance functions; replication; quantiles

216636:Survey Research Methods Section Executive Committee Meeting (Closed) — Other Cmte/Business
Chair(s): Karol Krotki, RTI International

Session 292: Small Area Estimation with Small Samples — Topic Contributed
Organizer(s): Tom Krenzke, Westat
Chair(s): Tom Krenzke, Westat

Choice of Small Area Models Based on Sample Designs and Availability of Auxiliary Data in PIAAC Study (View Presentation) — Jianzhu Li, Westat; Leyla Mohadjer, Westat; Wendy VanDeKerckhove, Westat; Lin Li, Westat; Tom Krenzke, Westat
Keywords: small area estimation; indirect estimate; sample design

Multilevel Regression and Poststratification (MRP) for Small Area Estimation with Geocoded FoodAPS Data — Xingyou Zhang, Economic Research Service, USDA; Mark Denbaly, Economic Research Service, USDA; John Kirlin, Economic Research Service, USDA; Elina T. Page, Economic Research Service, USDA; Elizabeth Larimore, Economic Research Service, USDA; Shelly Ver Ploeg, Economic Research Service, USDA
Keywords: FoodAPS; Small Area Estimation; Multilevel Regression and Poststratification; Parametric Bootstrapping; External Validation; Geographic Linkage

Spatial-Temporal Small Area Estimation Models for Cancer Incidence (View Presentation) — Benmei Liu, National Cancer Institute; Li Zhu, National Cancer Institute; Huann-Sheng Chen, National Cancer Institute; Joe Zou, Information Management Services; Rebecca Siegel, American Cancer Society; Kim D. Miller, American Cancer Society; Ahmedin Jemal, American Cancer Society; Eric J. Feuer, National Cancer Institute
Keywords: cancer incidence; missing data; small samples; spatial-temporal modeling; disease mapping

Further Comparisons of Unit- and Area-Level Small Area Estimators — Robert Fay, Westat
Keywords: Pseudo-EBLUP; EBLUP; Fay-Herriot model; Survey regression estimator

Session 298: SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More — Contributed
Chair(s): Erin Tanenbaum, NORC at the University of Chicago

Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework (View Presentation) — Linda Andes, Centers for Disease Control & Prevention
Keywords: Medicare; Diabetes; Surveillance; Epidemiology; Administrative data

Variance Estimation Under Model-Implied Randomization of Nonrandom Samples (View Presentation) — Vladislav Beresovsky, National Center for Health Statistics
Keywords: nonrandom samples; conditional randomization; double robustness; Taylor linearization; adjusted jackknife; hot-deck

Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia (View Presentation) — Susan Edwards, RTI International; Marissa Gargano, RTI International
Keywords: Study Design; Propensity Score Matching; Longitudinal; International

Bayesian Methods for Stratified Sample Allocation Using Imperfect Information (View Presentation) — Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland
Keywords: Bayesian decision theory; survey sampling; stratified sample allocation; establishment surveys; ratio estimation

Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population — Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
Keywords: nonprobability surveys; mobile phones; innovative data collection methods; nonprobability benchmarking; paradata

NAICS 2017: a New Process Yields Interesting Results — Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
Keywords: NAICS; web collection; administrative data

Combining Probability and Nonprobability Samples for Population Inference (View Presentation) — Jill A Dever, RTI International
Keywords: Nonprobability sampling; Hybrid estimation; Propensity scores; Mean square error; Fit for purpose

Willingness to Collect Smartphone Sensor Measurements in a Dutch Probability-Based General Population Panel (View Presentation) — Bella Struminskaya; Vera Toepoel, Utrecht University; Peter Lugtig, Utrecht University; Barry Schouten, CBS
Keywords: sensor measurements; nonresponse; data collection; panel survey

Different Linkage Methods, Same Results? Linking National Center for Health Statistics Survey Data to Centers for Medicare and Medicaid Administrative Records — Cordell Golden, National Center for Health Statistics (NCHS); Adam Fedorowicz, National Center for Health Statistics (NCHS); Lisa B Mirel, National Center for Health Statistics (NCHS)
Keywords: NCHS Data Linkage Program; Health Survey Data; Dual Eligibles; Deterministic; Probabilistic

Sampling from Twitter: Can a Probability Sample Be Drawn to Target Hard to Reach Populations? (View Presentation) — Marcus Berzofsky, RTI International; Tasseli McKay, RTI International; Patrick Hsieh, RTI International; Amanda Smith, RTI Internatinal; Natasha Latzman, RTI International
Keywords: Social Media; Nonprobability Surveys; Twitter; Population Inference; Bias reduction

Can We Increase Contact Rates and Reduce Costs in a Longitudinal Survey by Including an SMS in the Contact Protocol? Results from an Embedded Experiment — Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
Keywords: SMS; noncontacts; longitudinal surveys; embedded experiments

Record Linkage as a Decision Problem (View Presentation) — Alan Karr, RTI International
Keywords: Record linkage; Linkage error; Decision problem

Re-Engineered Address Canvassing for the 2018 End-to-End Census Test (View Presentation) — Matthew Herbstritt
Keywords: Census; Address Canvassing; Satellite imagery; Master Address File

When to Use Commercial Data for Improved Efficiency (View Presentation) — Edward English, NORC At the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago
Keywords: ABS; commercial data; coverage; enhanced sample design

Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult (View Presentation) — Benjamin Williams, Southern Methodist University
Keywords: Record Linkage; Non Probability Sampling; Sampling; Combining samples; Biometrics; Matching

Session 313: Statistical Models in Survey Sampling and Analysis — Contributed
Chair(s): Samantha Robinson, University of Arkansas

Estimating Prediction Error for Complex Samples (View Presentation) — Andrew James Holbrook, UC Irvine; Daniel L. Gillen, University of California, Irvine; Thomas Lumley, University of Auckland
Keywords:AIC; Generalized linear models; Generalization error; Horvitz-Thompson; Survey samples; NHANES

Cluster-Level Inference Under Element Sampling — Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University; Chris Skinner, London School of Economics and Political Science
Keywords: Two-level model; Element sampling; EM algorithm

Applications of the Parametric Approach to Estimation of Totals and Means for Complex Survey Data in the Presence of Full Response (View Presentation) — Ismael Flores Cervantes, Westat
Keywords: Efficient estimation of totals; model-assisted estimation; design-based estimation; complex survey sample data; calibration; variable selection

Using Survival Analysis to Address Attrition and Vacancy Rates at the Food Safety and Inspection Service — Sarah McMillan, Food Safety and Inspection Service / USDA; Anna Frey, Food Safety and Inspection Service / USDA
Keywords: Survival Analysis; Attrition; Regression; Incentives

Estimation of Latent Interaction with Ordinal Indicators Using Frequentist Method (View Presentation) — Fan Wallentin, Uppsala University
Keywords: frequentist method ; Structural equation models; marginal maximum likelihood

Session 314: SPEED: Missing Survey Data: Analysis, Imputation, Design, and Prevention — Contributed
Chair(s): Paul McNicholas, McMaster University

Estimating Survey Attrition Phases Using Change-Point Models — Camille Hochheimer, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Alex H Krist, Virginia Commonwealth University
Keywords: attrition; dropout; survey; questionnaire; change-point hazard

Census Efforts to Reduce the Undercount of Young Children — Gina Walejko, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau
Keywords: census; non-response; undercount

Is There a 'safe Area' Where the Nonresponse Rate Has Only a Modest Effect on Bias Despite Non-Ignorable Nonresponse? — Dan Hedlin, Stockholm university
Keywords: response propensity; nonresponse bias

Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling — Per Andersson, Stockholm University
Keywords: Bias; Auxiliary variable; Calibration equation; Distance measure

A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias — Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
Keywords: Sample Weight adjustment; Nonresponse bias; NHANES; Simulation

Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey — Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
Keywords: Adjusted degrees of freedom; Fraction of missing information; Missing data; Multiple imputation; National Hospital Ambulatory Medical Care Survey

Nonresponse Bias Studies for Department of Defense Surveys — Eric Falk, Department of Defense/Office of People Analytics
Keywords: Nonresponse bias; surveys of the military; Estimates versus Population values

Exploring Reminder Calls Intended to Increase Interviewer Compliance with Data Collection Protocols — Amanda Nagle, U.S. Census Bureau; Kevin Tolliver, U.S. Census Bureau
Keywords: CAPI; Interviewer Compliance; Auto Calls; Reminder Calls

Effect of the Survey Name on Response Rates and Survey Estimates — David McGrath, Department of Defense Office of People Analytics
Keywords: Survey; Nonresponse; Vote; Election; Military

Early Bird Gets the Worm? Effects of Differential Incentives on Mode Choice and Response Rates — Patricia LeBaron, RTI International; Nathaniel Taylor, RTI International; Leah Fiacco, RTI International; Melissa Helton, RTI International; Amy Henes, RTI International; Stephen King, RTI International
Keywords: Response rates; Incentives; Multi-mode; Survey methods

Nonresponse Bias Analysis for the Medicare Current Beneficiary Survey — Kirk Wolter, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago
Keywords: non-respondents; hard-to-contact respondents; longitudinal study; attrition rate; attributes; differences

Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse — Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
Keywords: statistical learning; predictive modeling; nonresponse; panel management; panel attrition

Does Sequence of Imputed Variables Matter in Hot Deck Imputation for Large-Scale Complex Survey Data? — Amang Sukasih, RTI International; Peter Frechtel, RTI International; Karol Krotki, RTI International
Keywords: cyclical tree based hot deck; complex survey data; nonresponse bias

Tree-Based Doubly-Robust Nonparametric Multiple Imputation — Darryl Creel
Keywords: decision trees; approximate bayesian bootstrap; prediction model; response propensity model; double protection

Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey — Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
Keywords: Multiple imputation; responsive survey design; propensity score; combining data from multiple sources; multi-phase survey; calibration

Outcomes of Suicide Risk Assessment and Safety Planning in a Longitudinal Mixed Mode Survey of Patients with Complex Psychiatric Disorders — Danna Moore, Washington State University-Social & Economic Science Research Center; John Fortney, University of Washington, School of Medicine; Dan Vakoch, Washington State Univesity-Social and Economic Sciences Research Center
Keywords: longitudinal; mixed mode; surveys; suicide intervention; safety planning

You're Not From Around Here, Are You?" How Regional Accent Affects Survey Cooperation — Matt Jans, ICF; James Dayton, ICF; Matt McDonough, ICF
Keywords: interviewers; interviewer effects; RDD; phone survey; data collection; survey error

Imputation of Small Number of New Questions in the Large Survey — Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
Keywords: Bootstrap; Multiple Imputation; CART; Sensitivity; Specificity

Session 339: Official Statistics and Small Area Estimation — Topic Contributed
Organizer(s): Andreea Erciulescu, National Institute of Statistical Sciences
Chair(s): Nathan Cruze, USDA National Agricultural Statistics Service

Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors (View Presentation) — Mamadou Diallo; Balgobin Nandram, Worcester Polytechnic Institute; J. N. K. Rao, Carleton University
Keywords: Hierarchical Bayes; Monte Carlo; best prediction; complex parameters; unit-level; skew-normal

Empirical Bayes Estimation of Small Area Means Under Unmatched Two-Fold Subarea Models — Song Cai, Carleton University; Golshid Chatrchi, Carlelton University; Shonosuke Sugasawa, The University of Tokyo; J.N.K. Rao, Carleton Univeristy
Keywords: Best predictors; EM algorithm; MSE estimation; Semiparametric bootstrap; Small area estimation

Mitigating Standard Errors of County-Level Survey Estimates When Data are Sparse — Valbona Bejleri, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Agricultural Survey; Bootstrap; Official Estimates; Small Area Estimation; Zero Variances

Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas (View Presentation) — Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Approximation; Bayesian predictive inference; Dirichlet distribution; Hierarchical Bayesian model; Metropolis sampler; Parallel computation

Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data (View Presentation) — Dilli Bhatta, University of South Carolina Upstate
Keywords: Bayesian; Categorical data; Independence; multi-level logistic regression; Coavriates; TIMSS

Session 340: SPEED: Applications of Advanced Statistical Techniques in Complex Survey Data Analysis: Small Area Estimation, Propensity Scores, Multilevel Models, and More — Contributed
Chair(s): Karol Krotki, RTI International

Prisoners Are People Too: Statistical Disclosure Control in the 2016 Survey of Prison Inmates (View Presentation) — Nicole Mack, RTI International; Marcus Berzofsky, RTI International; Stephanie Zimmer, RTI International
Keywords: data confidentiality; data quality; correctional facilities

Estimation and Inference of Domain Means Subject to Shape Constraints (View Presentation) — Cristian Oliva, Colorado State University; Mary C. Meyer, Colorado State University; Jean D. Opsomer, Colorado State University
Keywords: estimation; small domains; shape-constrained; design-based

Producing Subnational Estimates from the National Crime Victimization Survey (View Presentation) — Andrew Moore, RTI International; Marcus Berzofsky, RTI International; George Couzens, RTI International; Stephanie Zimmer, RTI International; Caroline Scruggs, RTI International
Keywords: NCVS; Recalibration

On Mediation Analysis in Public Health Using the Complex Survey Data (View Presentation) — Monsur Chowdhury, University of Central Florida; Thanh Pham, University of Central Florida; Julia Soulakova, University of Central Florida
Keywords: mediation; balanced repeated replication; survey data; regression

Generalized Estimating Equations for Social Network Data (View Presentation) — Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
Keywords: generalized estimating equations; social network data; respondent-driven sampling; correlated data

Numerical Comparison of Various Bootstrap Methods in Survey Sampling — Christian Léger, Université de Montréal; Oussama Dabdoubi, Université de Montréal
Keywords: Bootstrap weights; confidence intervals; pseudo-population approach; survey sampling; unequal probability sampling; variance estimation

Meta-Analysis of Survey-Based, Non-Experimental Individual Person Data with Heterogeneous Weighting Schemes — Anna-Carolina Haensch, GESIS Institute ; Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences
Keywords: meta-analysis; design weights; poststratification; weighting; endogeneity; combined datasets

Robust estimation in the presence of deviations from linearity in small domain models — Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
Keywords: Bayesian Hierarchical Modeling; Fay-Herriot Model; Small Area Estimation; False discovery rate; Posterior predictive distribution

Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information (View Presentation) — Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
Keywords: Sample Surveys; High-Dimensional Auxiliary Information; Bayesian Multilevel Modeling; Stan

Calibrated Bayesian Approach for Small Area Prevalence Estimation Using Survey Data with Replicate Weights (View Presentation) — Trung Ha, University of Central Florida; Julia Soulakova, University of Central Florida
Keywords: balanced repeated replications; complex sampling; design-based estimation; model-based estimation; secondhand smoke; smoking rules at home

Quantile Regression Analysis of Survey Data Under Informative Sampling (View Presentation) — Daniel Zhao, OU Health Sciences Center; Sixia Chen, University of Oklahoma
Keywords: Complex survey; Informative sampling; Nonparametrics; Quantile regression; Weight smoothing

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys (View Presentation) — Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
Keywords: Causal inference; Propensity score; Weighting; Cluster sampling; Survey Research

The Problem of Analytic Error in Secondary Analysis of Survey Data: What We Know, and What We Need to Do About It (View Presentation) — Brady T. West, University of Michigan; Joe Sakshaug, University of Manchester
Keywords: Analytic Error; Complex Sample Survey Data; Survey Data Analysis; Design-Based Inference; Total Survey Error

Parameter Estimate Bias Resulting from Level 3 Sample Size Decisions — Tingqiao Chen; Frank Lawrence, Michigan State University; Wenjuan Ma, Michigan State University
Keywords: 3-lvl HLM; sample size; simulation; parameter bias; absolute relative bias

Comparing Direct Survey and Small Area Estimates of Health Care Coverage in New York (View Presentation) — Jeniffer Iriondo Perez, RTI International; Rachel Harter, RTI International; Amang Sukasih, RTI International
Keywords: small area estimation; Fay-Herriot model; hierarchical Bayes; OpenBUGS; BayesSAE; Behavioral Risk Factor Surveillance Survey (BRFSS)

Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods (View Presentation) — Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
Keywords: Causal inference; Complex surveys; Propensity Score Matching; Propensity Score Inverse Probability Treatment Weighting; Double Robust Estimator; Monte Carlo simulations

Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model (View Presentation) — Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University
Keywords: small area prediction; empirical bayes; zero inflated lognormal; rainfall erosion loss; RUSLE2; CEAP

Small Area Estimation of HIV Measures in Sub-Saharan Africa (View Presentation) — Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
Keywords: Small Area Estimation; Bayesian Hierarchical Model; Complex Surveys; Spatial Model

Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data (View Presentation) — Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University
Keywords: data quality; machine learning; Bayesian Network; data trustworthiness; mutual information; data assessment

Session 357: Issues in Survey Design and Estimation — Contributed
Chair(s):Richard Levy, U.S. Census Bureau

A Comparison of Clustering Algorithms Used for Multivariate Stratification of Primary Sampling Units — Thomas Chesnut, U.S. Census Bureau; Padraic Murphy, U.S. Census Bureau
Keywords: clustering; integer programming; greedy algorithm; multi-stage sampling; stratification

Nested Subsamples: a Method for Achieving Flexibility in Annual Sample Sizes for a Continuous Multiyear Survey (View Presentation) — Van Parsons, National Center for Health Statistics; Chris Moriarity, National Center for Health Statistics
Keywords: sample survey

Efficiency Comparisons of Selective Editing Methods — Chin-Fang Weng, U.S. Census Bureau; Joanna Fane Lineback, U.S. Census Bureau
Keywords: periodic continuous survey; Hidiroglou-Berthelot method; Score Function; Robust Regression; bias; type I error rate

Detecting and Correcting Influential Values Using the Conditional Bias Approach : Application to the Canadian Survey of Household Spending — Christiane Laperrière, Statistics Canada; Aliou Seydi, Statistics Canada
Keywords: Christiane Laperrière, Statistics Canada; Aliou Seydi, Statistics Canada

The Utility of Using Web Surveys to Measure and Estimate Health Outcomes, a Pilot Study (View Presentation) — Yulei He, CDC/NCHS; Hee-Choon Shin, CDC/NCHS; Bill Cai, CDC/NCHS; Jennifer Parker, CDC/NCHS
Keywords: Web survey; Health Survey; NHIS; Calibration

Assessment of a Review Process for the 2017 Census of Agriculture (View Presentation) — Denise Abreu, USDA/NASS
Keywords: List Frame; Area Frame; Capture-Recapture; Cost Analysis

Session 365: SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More — Contributed Poster Presentations — Invited
Chair(s):Paul McNicholas, McMaster University

Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework — Linda Andes, Centers for Disease Control & Prevention
Keywords: Medicare; Diabetes; Surveillance; Epidemiology; Administrative data

Variance Estimation Under Model-Implied Randomization of Nonrandom Samples — Vladislav Beresovsky, National Center for Health Statistics
Keywords:nonrandom samples; conditional randomization; double robustness; Taylor linearization; adjusted jackknife; hot-deck

Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia — Susan Edwards, RTI International; Marissa Gargano, RTI International
Keywords: Study Design; Propensity Score Matching; Longitudinal; International

Bayesian Methods for Stratified Sample Allocation Using Imperfect Information — Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland
Keywords: Bayesian decision theory; survey sampling; stratified sample allocation; establishment surveys; ratio estimation

Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population — Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
Keywords: nonprobability surveys; mobile phones; innovative data collection methods; nonprobability benchmarking; paradata

NAICS 2017: a New Process Yields Interesting Results — Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
Keywords: NAICS; web collection; administrative data

Combining Probability and Nonprobability Samples for Population Inference — Jill A Dever, RTI International
Keywords: Nonprobability sampling; Hybrid estimation; Propensity scores; Mean square error; Fit for purpose

Willingness to Collect Smartphone Sensor Measurements in a Dutch Probability-Based General Population Panel — Bella Struminskaya; Vera Toepoel, Utrecht University; Peter Lugtig, Utrecht University; Barry Schouten, CBS
Keywords: sensor measurements; nonresponse; data collection; panel survey

Different Linkage Methods, Same Results? Linking National Center for Health Statistics Survey Data to Centers for Medicare and Medicaid Administrative Records — Cordell Golden, National Center for Health Statistics (NCHS); Adam Fedorowicz, National Center for Health Statistics (NCHS); Lisa B Mirel, National Center for Health Statistics (NCHS)
Keywords: NCHS Data Linkage Program; Health Survey Data; Dual Eligibles; Deterministic; Probabilistic

Sampling from Twitter: Can a Probability Sample Be Drawn to Target Hard to Reach Populations? — Marcus Berzofsky, RTI International; Tasseli McKay, RTI International; Patrick Hsieh, RTI International; Amanda Smith, RTI Internatinal; Natasha Latzman, RTI International
Keywords: Social Media; Nonprobability Surveys; Twitter; Population Inference; Bias reduction

Can We Increase Contact Rates and Reduce Costs in a Longitudinal Survey by Including an SMS in the Contact Protocol? Results from an Embedded Experiment — Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
Keywords: SMS; noncontacts; longitudinal surveys; embedded experiments

Record Linkage as a Decision Problem — Alan Karr, RTI International
Keywords: Record linkage; Linkage error; Decision problem

Re-Engineered Address Canvassing for the 2018 End-to-End Census Test — Matthew Herbstritt
Keywords: Census; Address Canvassing; Satellite imagery; Master Address File

When to Use Commercial Data for Improved Efficiency — Edward English, NORC At the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago
Keywords: ABS; commercial data; coverage

Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult — Benjamin Williams, Southern Methodist University
Keywords: Record Linkage; Non Probability Sampling; Sampling; Combining samples; Biometrics; Matching

Session 379: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Organizer(s): Asaph Young Chun, US Census Bureau

Adaptive Design: Challenges in Practice — Michael Yang, NORC
Keywords: design-based inference; nonprobability sample; survey estimation

Session 389: Improving Survey Data Quality with Machine Learning Techniques — Invited
Organizer(s):Stephanie Eckman, RTI International
Chair(s): Stephanie Eckman, RTI International

Artificial Intelligence (AI)-Enhanced Applications to Survey-Specific Imputation Tasks to Achieve Time and Cost Efficiencies (View Presentation) — Steven B. Cohen, RTI International
Keywords: imputation; artificial intelligence; survey efficiencies; MEPS

Predicting Panel Drop-Outs with Machine Learning (View Presentation) — Christoph Kern, University of Mannheim
Keywords: panel attrition; nonresponse; machine learning

Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates (View Presentation) — Sean Taylor, Facebook; Curtiss Cobb, Facebook; Chelsea Zhang, UC Berkeley
Keywords: surveys; matrix sampling; matrix completion; web surveys; active learning; side information

A Comparison of Automatic Algorithms for Occupation Coding (View Presentation) — Malte Schierholz, Institute for Employment Research
Keywords: occupation coding; coding index; supervised learning; method comparison

The Use of Machine Learning Methods to Improve the US National Resources Inventory Survey — Zhengyuan Zhu, Iowa State University
Keywords: classification; land cover; land use; gap filling; small area estimation; data fusion

Session 425: Contributed Poster Presentations: Survey Research Methods Section — Contributed
Chair(s): Paul McNicholas, McMaster University

Understanding Rerandomization Through Simulation — Crystal Shaw, UCLA; Thomas Belin, UCLA
Keywords: Rerandomization; Mahalanobis Distance; Tiered Covariate Balancing; Blocking

Estimation Methods for Nonprobability Samples with a Companion Probability Sample — Michael Yang, NORC; Edward Mulrow, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Vickie Pineau, NORC at the University of Chicago
Keywords: probability sample; nonprobability sample; fit-for-purpose

Small Scale Analysis with Big Data - Enriching the Panel Study — Jonas Beste, Institute for Employment Research; Sebastian Bähr, Employment Research (IAB)
Keywords: Spatial data; Linkage; Survey

Examining the Agreement Between Parent and Provider Report of Child Influenza Vaccination Status on the National Immunization Survey-Flu, 2015-16 Influenza Season — Tammy A. Santibanez, CDC; James Singleton , CDC; Yusheng Zhai, CDC; Katherine E. Kahn, CDC
Keywords: surveys; parental report; self-report; bias; sensitivity

Who Provides the Best Data: Respondent Characteristics, Financial Literacy, and Data Quality in the Survey of Consumer Finances — Richard Windle, Federal Reserve Board; Joanne Hsu, Federal Reserve Board
Keywords: financial; literacy; data; quality; household; survey

Propensity Score Analysis Using National Health and Nutrition Examination Survey — Maya Sternberg, Centers for Disease Control & Prevention; Helen Bisrat, Georgia State University; Alula Hadgu, Morehouse School of Medicine
Keywords: propensity score; NHANES; survey

Competing Imputation Approaches Under Simulated Nonignorable Missingness for Perpetrator Characteristics in the FBI's Supplementary Homicide Reports — George Couzens, RTI International; Marcus Berzofsky, RTI International
Keywords: imputation; nonignorable missingness; fully-conditional specification; supplementary homicide reports

Session 433: SPEED: Applications of Advanced Statistical Techniques in Complex Survey Data Analysis: Small Area Estimation, Propensity Scores, Multilevel Models, and More — Contributed
Chair(s):Paul McNicholas, McMaster University

Prisoners Are People Too: Statistical Disclosure Control in the 2016 Survey of Prison Inmates — Nicole Mack, RTI International; Marcus Berzofsky, RTI International; Stephanie Zimmer, RTI International
Keywords: data confidentiality; data quality; correctional facilities

Estimation and Inference of Domain Means Subject to Shape Constraints — Cristian Oliva, Colorado State University; Mary C. Meyer, Colorado State University; Jean D. Opsomer, Colorado State University
Keywords: estimation; small domains; shape-constrained; design-based

Producing Subnational Estimates from the National Crime Victimization Survey — Andrew Moore, RTI International; Marcus Berzofsky, RTI International; George Couzens, RTI International; Stephanie Zimmer, RTI International; Caroline Scruggs, RTI International
Keywords: NCVS; Recalibration

On Mediation Analysis in Public Health Using the Complex Survey Data — Monsur Chowdhury, University of Central Florida; Thanh Pham, University of Central Florida; Julia Soulakova, University of Central Florida
Keywords: mediation; balanced repeated replication; survey data; regression

Generalized Estimating Equations for Social Network Data — Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartner
Keywords: generalized estimating equations; social network data; respondent-driven sampling; correlated data

Numerical Comparison of Various Bootstrap Methods in Survey Sampling — Christian Léger, Université de Montréal; Oussama Dabdoubi, Université de Montréal
Keywords: Bootstrap weights; confidence intervals; pseudo-population approach; survey sampling; unequal probability sampling; variance estimation

Meta-Analysis of Survey-Based, Non-Experimental Individual Person Data with Heterogeneous Weighting Schemes — Anna-Carolina Haensch, GESIS Institute ; Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences
Keywords: meta-analysis; design weights; poststratification; weighting; endogeneity; combined datasets

Robust estimation in the presence of deviations from linearity in small domain models — Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
Keywords: Bayesian Hierarchical Modeling; Fay-Herriot Model; Small Area Estimation

Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information — Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
Keywords: Sample Surveys; High-Dimensional Auxiliary Information; Bayesian Multilevel Modeling; Stan

Calibrated Bayesian Approach for Small Area Prevalence Estimation Using Survey Data with Replicate Weights — Trung Ha, University of Central Florida; Julia Soulakova, University of Central Florida
Keywords: balanced repeated replications; complex sampling; design-based estimation; model-based estimation; secondhand smoke; smoking rules at home

Quantile Regression Analysis of Survey Data Under Informative Sampling — Daniel Zhao, OU Health Sciences Center; Sixia Chen, University of Oklahoma
Keywords: Complex survey; Informative sampling; Nonparametrics; Quantile regression; Weight smoothing

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys — Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
Keywords: Causal inference; Propensity score; Weighting; Cluster sampling; Survey Research

The Problem of Analytic Error in Secondary Analysis of Survey Data: What We Know, and What We Need to Do About It — Brady T. West, University of Michigan; Joe Sakshaug, University of Manchester
Keywords: Analytic Error; Complex Sample Survey Data; Survey Data Analysis; Design-Based Inference; Total Survey Error

Parameter Estimate Bias Resulting from Level 3 Sample Size Decisions — Tingqiao Chen; Frank Lawrence, Michigan State University; Wenjuan Ma, Michigan State University
Keywords: 3-lvl HLM; sample size; simulation; parameter bias; absolute relative bias

Comparing Direct Survey and Small Area Estimates of Health Care Coverage in New York — Jeniffer Iriondo Perez, RTI International; Rachel Harter, RTI International; Amang Sukasih, RTI International
Keywords: Small Area Estimation; BRFSS; Health Care

Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods — Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
Keywords: Causal inference; Complex surveys; Propensity Score Matching; Propensity Score Inverse Probability Treatment Weighting; Double Robust Estimator; Monte Carlo simulations

Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model — Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University
Keywords: small area prediction; empirical bayes; zero inflated lognormal; rainfall erosion loss; RUSLE2; CEAP

Small Area Estimation of HIV Measures in Sub-Saharan Africa — Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
Keywords: Small Area Estimation; Bayesian Hierarchical Model; Complex Surveys; Spatial Model

Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data — Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University
Keywords: data quality; machine learning; epidemiologic data set; decision making; fraud detection score; FDS

Session 450: Inference with Clustered Data: Lessons from Multiple Disciplines — Invited
Organizer(s): Stas Kolenikov, Abt Associates
Chair(s): David R Judkins, Abt Associates

Modeling Covariance Structure for Longitudinal Data (View Presentation) — Annie Qu, University of Illinois at Urbana-Champaign
Keywords: Missing not at random; Non-monotone missing pattern; Quadratic inference function; Survey data; Working correlation; Generalized estimating equation

How Clustered Standard Errors Are Changing Applied Econometrics (View Presentation) — James Gordon MacKinnon, Queen's University
Keywords: wild bootstrap; cluster-robust inference; difference-in-differences; multi-way clustering

Pseudo-Population Bootstrap Procedures for Multi-Stage Sampling Designs — Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
Keywords: variance estimation; high entropy sampling designs; quantiles; unit nonresponse

Session 508: Leading the Estimates Towards Known Benchmarks — Topic Contributed
Organizer(s): Luca Sartore, National Institute of Statistical Sciences
Chair(s):Clifford Spiegelman, Texas A&M University

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees (View Presentation) — Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
Keywords: Big Data; inference; calibration; quasi-randomization; pseudo-weighting; predictive mean matching

Using Calibration Weighting in Samples with a Non-Probability Component (View Presentation) — Jamie Ridenhour, RTI International; Phil Kott, RTI
Keywords: Calibration weighting; WTADJX; Composite; delete-a-group jackknife weights; Nonprobability

Deep Learning for Data Imputation and Calibration Weighting (View Presentation) — Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
Keywords: Imputation; Neural network model; NASS survey data

A Global Convergent Algorithm for Integer Calibration Weighting (View Presentation) — Kelly Toppin, National Agricultural Statistics Service; Luca Sartore, National Institute of Statistical Sciences; Clifford Spiegelman, Texas A&M University
Keywords: DSE; ; Weights; ; Global integer optimization; Census of Agriculture; session ID # 215233

Session 512: Various Flavors of Missing-Data Problems — Topic Contributed
Organizer(s): Florian Meinfelder, Universität Bamberg
Chair(s):Trivellore Raghunathan, University of Michigan

Bayesian IRT and Factor Modeling with Missing Values (View Presentation) — Thorsten Schnapp, University of Bamberg; Christian Aßmann, University of Bamberg
Keywords: Bayesian Analysis; Missing Values; Latent Variables; IRT; CART

Towards Multiple-Imputation-Proper Predictive Mean Matching (View Presentation) — Philipp Gaffert, GfK SE; Florian Meinfelder, Universität Bamberg; Volker Bosch, GfK SE
Keywords: Approximate Bayesian bootstrap; Distance-based donor selection; Hot deck imputation; Multiple imputation; Predictive mean matching; Proper imputation

Hybrid Imputation Models Through Blocks (View Presentation) — Stef van Buuren, TNO
Keywords: MICE; missing data; joint modeling; fully conditional specification

Bootstrap Inference for Multiple Imputation Under Uncongeniality (View Presentation) — Jonathan Bartlett, AstraZeneca
Keywords: multiple imputation; bootstrap; congeniality

Session 531: Survey Modes and Measurement Error — Contributed
Chair(s): Rebecca Andridge, The Ohio State University College of Public Health

Mixing Modes Versus Providing Internet Equipment: How Do Different Strategies of Including the Offline Population Affect Probability-Based Online Panel Data Over Time? — Carina Cornesse, University of Mannheim; Ines Schaurer, GESIS - Leibniz Institute for the Social Sciences
Keywords: online panel; probability-based sample; mixed-mode; sample composition; Internet equipment; unit nonresponse

Order Effects and Occupational Misclassification on the Agricultural Labor Survey — David Biagas, National Agricultural Statistics Service
Keywords: Order Effects; Agricultural Labor; Occupational Classification; Survey Research

Household Informant Reporting of Crime Victimization — W Sherman Edwards, Westat; Pamela Giambo, Westat; J. Michael Brick, Westat; Grace Kena, Bureau of Justice Statistics
Keywords: Mail survey; Mode comparison

Measurement Errors in Reported Race-Related Attitudes by Race of Interviewer, Perceived Race of Interviewer, and Race of Respondent (View Presentation) — Paul Lavrakas, Self-Employed - Independent Consultant; Dan Thaler, Michigan State U. Office for Survey Research; Lin Stork, Michigan State U. Office for Survey Research; Del Solis, Michigan State U. Office for Survey Research
Keywords: Race-related; Attitudes; Measurment Bias

The Proportional Odds Model with Response Variables Subject to Multi-Level Randomized Response — Shu-Hui Hsieh, Research Center for Humanities and Social Science, Academia Sinica
Keywords: multi-level randomized response technique; Taiwan Social Change Survey; income

Session 553: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Organizer(s): Asaph Young Chun, US Census Bureau

Non-Probability Sampling — Karol Krotki, RTI International
Keywords: non-probability sampling; survey research tools; modern survey research; survey sampling

Session 572: Measuring Household Wealth in Europe: The Household Finance and Consumption Survey — Topic Contributed
Organizer(s): Arthur B Kennickell, Self
Chair(s):Barry W Johnson, IRS Statistics of Income

Comparing Non-Response Adjustment Methods in the Panel on Household Finances (View Presentation) — Panagiota Tzamourani, Deutsche Bundesbank; Julian Sengewald, University of Bamberg
Keywords: PHF; HFCS; weights; non-response; bias; random forest

Mind the Mode: Lessons from a Web Survey on Household Finances (View Presentation) — Andrea Neri, Banca d'Italia
Keywords: web survey; mode effect; sensitive questions

How Wealthy Are Households - Coherence Between Macro and Micro Statistics (View Presentation) — Juha Honkkila, European Central Bank
Keywords: household wealth; survey; macro data; distribution

The Funtions of Wealth: Renters, Owners and Capitalists Across Europe and the US — Pirmin Fessler; Martin Schürz, Oesterreichische Nationalbank
Keywords: wealth; measurement; survey data; households; economic stratification; methodology

Session 578: Statistical Explorations for the Post-Enumeration Survey of the U.S. 2020 Census — Topic Contributed
Organizer(s): Timothy Kennel, U.S. Census Bureau
Chair(s): Vincent Mule, U.S. Census Bureau

Evolution of the Modern Post-Enumeration Survey: How Did We Get Here and Where Should We Go Next? — Howard Hogan, U. S. Census Bureau
Keywords: Census; coverage; history

Considerations in Designing the 2020 Post-Enumeration Survey Sample (View Presentation) — Laura A. Davis, US Census Bureau; T. Trang Nguyen, US Census Bureau; Courtney Hill, U.S. Census Bureau
Keywords: Post-Enumeration Survey; Area Sample; Multi-Phase Sample Design; Decennial Census; Sample Size Calculation; Stratification

Creating a Hard-To-Enumerate Score to Stratify the 2020 Post-Enumeration Survey Sample (View Presentation) — Krista Heim, U.S. Census Bureau; Courtney Hill, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau; Timothy Kennel, U.S. Census Bureau
Keywords: coverage error models; census; post-enumeration survey; stratification; Planning Database

Using Imputation Methods to Predict Listing Housing Unit Counts for Small Geographies — Courtney Hill, U.S. Census Bureau; Timothy Kennel, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau
Keywords: Listing; Post-Enumeration Survey; Hot Deck Imputation; Prediction Model

Calibrating Components of Coverage from a Post-Enumeration Survey — Timothy Kennel, U.S. Census Bureau
Keywords: Post-Enumeration Survey; Calibration; Correct Enumerations; Erroneous Enumerations; Coverage Measurment

Session 596: Advances in Small Area Estimation — Contributed
Chair(s):Xingyou Zhang, Economic Research Service, USDA

Substate Small Area Estimates Using Data from the 2014-2016 National Surveys on Drug Use and Health (NSDUHs) (View Presentation) — Neeraja Sathe, RTI International; Matthew Williams, SAMHSA/CBHSQ; Kathy Spagnola, RTI International; Akhil Vaish, RTI International
Keywords:small area estimation; National Survey on Drug Use and Health (NSDUH); substate estimates; substance use; mental health; hierarchical Bayes

Small Area Population Models: Estimating the Number of Children in School Districts — Jerry Maples, U.S. Census Bureau; Patrick Joyce, U.S. Census Bureau
Keywords: Small Area ; school districts; population estimates; share models ; count models

Comparison of NSDUH Population Percentages from the United States, Census Regions, States, and the District of Columbia (View Presentation) — Kathy Spagnola, RTI International; Matthew Williams, SAMHSA/CBHSQ; Akhil Vaish, RTI International; Neeraja Sathe, RTI International
Keywords: small area estimation (SAE); substance use; mental health; National Survey on Drug Use and Health (NSDUH); p value

Evaluating the Census Planning Database, MSG, and Paradata as Predictors of Household Propensity to Respond (View Presentation) — Xiaoshu Zhu, Westat; Robert Baskin, Westat; David Morganstein, Westat
Keywords: Census Planning Database; MSG; Response Propensity; Logistical Models; Machine Learning Models

Leading Policy with Localized Item Response Theory: Detection of Differential Item Functioning Across Space — Samantha Robinson, University of Arkansas
Keywords: item response theory; differential item functioning; local spatial modeling; international large-scale assessments

Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation (View Presentation) — Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
Keywords: Bayesian Hierarchical Model; Agricultural Survey; Constrained Model; Calibration; Benchmarking

Incorporating Design Weights and Historical Data into Model-Based Small-Area Estimation (View Presentation) — Hui Xie, CDC; Lawrence Barker, CDC; Deborah Rolka, CDC
Keywords: Small area estimation; Sampling weights adjustment; BRFSS; Power prior ; Effective case counts

Session 599: In Memoriam: Alastair Scott — Invited Papers
Chair(s):Stas Kolenikov, Abt Associates

Impact of Alastair Scott's Contributions to Sample Survey Theory and Methods (View Presentation) — J. N. K. Rao, Carleton University

Taking the Rao--Scott Working Likelihood Seriously — Thomas Lumley, University of Auckland

Alastair in New Zealand (View Presentation) — Chris Wild, University of Auckland

Session 216632: Survey Research Methods Section Business Meeting — Other Cmte/Business
Chair(s): Karol Krotki, RTI International

Session 615: Using Para-Data to Analyze the Determinants and Impact of Interview Length — Topic Contributed
Organizer(s):Tobias Schmidt, Deutsche Bundesbank
Chair(s):Bella Struminskaya

Two Short or One Long: An Experiment Comparing Survey Length vs. Quantity of Surveys — Rebecca Powell, RTI International; Paul Biemer, RTI Internatinoal; Sarah Cook, RTI International; Kathleen Considine, RTI International; Carolyn Halpern, Carolina Population Center-UNC; Kathleen Harris, Carolina Population Center-UNC; Sarah Dean, Carolina Population Center-UNC
Keywords: Questionnaire Design; Survey Length; Response Rates; Response Quality

Interviewers' Willingness to Spend Time and Effort on the Survey, a Missing Link Between Interview Speed and Contact Process? (View Presentation) — Celine Wuyts
Keywords: Interviewer effects; Interview speed; Interviewer burden

What Do Interviewers Learn? An Examination of Interview Length and Interviewer Behaviors — Kristen Olson, University of Nebraska - Lincoln; Jolene Smyth, University of Nebraska-Lincoln
Keywords: paradata; interview length; data quality; interviewer-respondent interaction

What Took You So Long? The Role of Experience as a Determinant of Interview Length (View Presentation) — Tobias Schmidt, Deutsche Bundesbank; Kristina Altmann, Deutsche Bundesbank
Keywords: interview length; interviewer experience; survey methodology; household surveys

Session 637: The Use of Auxiliary Data in Frame Development, Coverage Assessment, and Field Data Collection — Contributed
Chair(s): Vladislav Beresovsky, National Center for Health Statistics

Relationship Between Positive Responses to Child-Specific Probes on the 2010 Census Questionnaire and 2010 Census Coverage Measurement Nonmatching Young Children (View Presentation) — Mary Mulry, U.S. Census Bureau
Keywords: 2010 U.S. Census; undercount; Low Response Score; Tapestry segmentation; coverage probes

The Effects of Address Coverage Enhancement on Estimates from a Study using an ABS Frame — Michael Jones, Westat; J. Michael Brick, Westat; Andrea Piesse, Westat
Keywords: address-based sampling; sampling frame coverage; ABS frame supplementation; address coverage enhancement

Switching from Field Enumeration to an ABS Frame: The Effect on Coverage Bias (View Presentation) — Ashley Amaya, RTI International; Matthew Williams, SAMHSA/CBHSQ; Devon Cribb, RTI International; Rachel Harter, RTI International; Katherine B Morton, RTI International
Keywords: National Survey on Drug Use and Health (NSDUH); address-based sampling; field enumeration; coverage bias

Virtual Listing: GIS Approaches to Improve Survey Listing Efficiency (View Presentation) — Michael Giangrande, Westat; J. Michael Brick, Westat; David Morganstein, Westat; Katie Lewis, U.S. Energy Information Administration
Keywords: GIS; Geographic Information Systems; listing; area probability sample; virtual listing; geospatial

Selecting a Sample from a Changing Frame of Program Beneficiaries (View Presentation) — Eric Grau, Mathematica Policy Research
Keywords: sample design; disabled population; adaptive design; sample allocation; National Beneficiary Survey

Using Area Characteristics to Model Nonresponse and Late Reporting in the Current Employment Statistics Survey (View Presentation) — John Dixon, Bureau of Labor Statistics
Keywords: Late reporting; area characteristics; establishment characteristics; nonresponse; ancillary data

A Simulation-Based Approach to Refining Estimates of Sampling Variability for the Planning Database's Low Response Score — Luke J Larsen, U.S. Census Bureau
Keywords: Census Bureau; Planning Database; Low Response Score; sampling error; multivariate regression; simulation

Session 662: Statistical Challenges in Combining Survey and Administrative Data — Topic Contributed
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Joel Dubin, University of Waterloo

Combining Survey and Administrative Data to Produce Official Statistics (View Presentation) — Andreea Erciulescu, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Valbona Bejleri, USDA National Agricultural Statistics Service; Balgobin Nandram, Worcester Polytechnic Institute
Keywords: Administrative Data; End-of-Season Agricultural Quantities; Official Estimates; Small Area Estimation

Promises and Challenges of Data Integration (View Presentation) — Mauricio Sadinle, University of Washington
Keywords: Record linkage; Data fusion; Data matching; Entity resolution; External data sources; Multiple data sources

Statistical Challenges in Linking a Retail Gasoline Price Survey with Commercial Data (View Presentation) — Maura Bardos, Energy Information Administration; Amerine Woodyard, Energy Information Administration; Jeramiah Yeksavich, Energy Information Administration
Keywords: Record linkage; Commercial Data; GIS; Administrative Records; Establishment Survey; Total Survey Error

Calibrating to Estimated Totals: Lessons from the American Teacher Panel (View Presentation) — Michael Robbins, RAND Corporation
Keywords: Survey Panel; Calibration; Jackknife

Session 675: Practical Aspects of Survey Design and Analysis — Contributed
Chair(s):Bella Struminskaya

Ad-Hoc Calibration for Rounding Rules with Nonlinear Benchmarks (View Presentation) — Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University
Keywords: Multi-objective discrete optimization; Consistency; Survey estimates; Nonlinear constraints; Combinatorial algorithms; Relative error

TRUMP in Power Supports Five Family Members (View Presentation) — Sarjinder Singh, Texas A&M University-Kingsville; Stephen A Sedory, Texas A&M University-Kingsville
Keywords: TRUMP Cuts; TRUMP Care Coefficient; First Basic Information (FBI); Power Transformation; Estimation of Variance; Relative Efficiency

Weighting on Reaction Time - Measures Beyond Liking — Shankang Qu, PepsiCo
Keywords: reaction time; implicit; explicit; sensory attributes; preference

First Reproducible Nationwide Survey on Substance Use in Brazil: Survey Design and Weighting (View Presentation) — Pedro Luis do Nascimento Silva, IBGE-ENCE; Mauricio Teixeira Leite de Vasconcellos, IBGE-ENCE; Raquel B De Boni, FIOCRUZ; Francisco Inacio Pinkusfeld Monteiro Bastos, FIOCRUZ; Neilane Bertoni dos Reis, Instituto Nacional de Câncer; Carolina Fausto de Souza Coutinho, FIOCRUZ; Jurema Corrêa da Mota, FIOCRUZ; Lidiane da Silveira Gouvea Toledo, FIOCRUZ
Keywords: probability sampling; survey design; weighting methods; reproducibility

Calibrating Forecasts to Volatile Time Series (View Presentation) — Janice Lent, U.S. Energy Information Administration
Keywords: time series; calibration; energy statistics

Session 680: Imputation and Analysis of Missing Survey Data — Contributed
Chair(s):Katherine McLaughlin, Oregon State University

Relaxation of Ignorability and Independence Assumptions Under the Availability of Auxiliary Moment Conditions: Application to Data Fusion (View Presentation) — Keisuke Takahata, Keio University; Takahiro Hoshino, Keio University
Keywords: nonignorable missing data; data fusion; auxiliary information; identifiability; completeness condition

Simultaneous Edit and Imputation for Household Data with Structural Zeros (View Presentation) — Olanrewaju Michael Akande, Duke University; Jerome P. Reiter, Duke University; Andrés Barrientos, Duke University
Keywords: Categorical; Census; Latent; Measurement error; Missing; Mixture

Multiple Imputation of Non-Ignorable and Hierarchical Missing Data — Angelina Hammon
Keywords: missing data; Missing Not at Random (MNAR); multiple imputation (MI); selection model; bivariate probit model; Fully Conditional Specification (FCS)

Robust-Squared" Imputation Models Using BART (View Presentation) — Yaoyuan Tan, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Michael Elliott, University of Michigan
Keywords: Missing Data; Doubly robust estimators; Multiple imputation; Bayesian additive regression trees; Inverse probability weighting; National Automotive Sampling System Crashworthiness Data System

Identification of Missing Mechanism in an Incomplete Two-Way Contingency Table with Two Supplemental Margins — Saebom Jeon, Mokwon University
Keywords: MAR; MNAR; selection model; pattern mixture model; response odds; nonresponse odds

Simplifying the Noninterview Adjustment Used in Weighting the American Community Survey Housing Unit Sample — Evan B. Gutentag, U.S. Census Bureau; Edward C. Castro Jr., U.S. Census Bureau; Mark E. Asiala, U.S. Census Bureau
Keywords: weighting; nonresponse; mean square error; American Community Survey

Evaluation of Patterns of Missing Prices in CPI Data — Harold Gomes, U.S. Bureau of Labor Statistics
Keywords: Consumer Price Index (CPI); missing data; imputation; Missing Completely at Random (MCAR); Missing at Random (MAR); Missing Not at Random (MNAR)

American Association for Public Opinion Research 2018
Denver, Colorado, May 16 - May 19, 2018

Give a Second Thought to the Secondary City: New Applications of the USPS City State File — Derick Brown, RTI International; Joe McMichael, RTI International

An Evaluation of the Impact of Using an Alternate Caller ID Display in the National Immunization Survey — Megha Ravanam, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago, Chicago, IL; Zhen Zhao, National Center for Immunization and Respiratory Diseases; David Yankey, National Center for Immunization and Respiratory Diseases; Chalanda Smith, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention
Keywords: National Immunization Surveys, Caller ID Display, Calling Name, CID

An Experiment in Panel Recruitment for Spanish Speaking Populations: The AmeriSpeak Case Study — Ilana Ventura,NORC at the University of Chicago;Rene Bautista,NORC at the University of Chicago;Erlina Hendarwan,NORC at the University of Chicago;
Keywords: survey experiment, bilingual, panel recruitment, recruitment material design

Blending Methodologies in Cognitive Interviews and IDIs to Examine Perceptions of Jobs and Work: Advantages and Caveats — Bernard L. Dugoni,NORC at the University of Chicago;Tom W. Smith,NORC at the University of Chicago;
Keywords: Surveys, Social, Industrial, Cognitive, Interveiwing

Considering Lessons Learned from a Bridge Study for a Business Survey — Rachel E. Sloan,National Agricultural Statistics Service;Kenneth M. Pick,National Agricultural Statistics Service;Robyn Sirkis,National Agricultural Statistics Service;Pamela D. McGovern,National Agricultural Statistics Service;
Keywords: bridge study, data quality, CATI, questionnaire design

Consumer Cellular Database: More Efficient, but at What Cost? — Caroline Scruggs,RTI International;Marcus Berzofsky,RTI International;Thomas Duffy,RTI International;Bo Lu,Division of Biostatistics, The Ohio State University;Timothy Sahr,Ohio Colleges of Medicine Government Resource Center;
Keywords: Cellphone, telephone survey, classification error

Coverage Gap: Out-of-State Phone Numbers for State Surveys — Marcus Berzofsky,RTI International;Caroline Scruggs,RTI International;Howard Speizer,RTI International;Bo Lu,Division of Biostatistics, The Ohio State University;Timothy Sahr,Ohio Colleges of Medicine Government Resource Center;
Keywords: Coverage bias, cellphone sample, RDD, out-of-state phone numbers, Consumer Cellular Database, Ohio Medicaid Assessment Survey

Did it Work? Findings from a Flu Pilot Study Using Interactive Voice Response (IVR) and Live Interviewers — Vicki J. Pineau,NORC at the University of Chicago;Benjamin Skalland,NORC at the University of Chicago, Chicago, IL;Gillian Lawrence,NORC at the University of Chicago;
Keywords: Interactive Voice Response (IVR), Live Interviewers, Misdialed, Incomplete, Disconnected, Inbound Call Sampling (MIDI Calls), Nonprobability Sample

Evaluating the Impact of Using Pre-Recorded Voicemail Messages in the National Immunization Surveys — Benjamin Skalland,NORC at the University of Chicago, Chicago, IL;Becky Reimer,NORC at the University of Chicago;Qiao Ma,NORC at the University of Chicago;Vince Welch, NORC at the University of Chicago;Sarah Kornylo,NORC at the University of Chicago;Kate Hobson,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, Centers for Disease Control and Prevention, Leidos Health, Inc.
Keywords:National Immunization Surveys, Answering Machine Message, Voicemail Message, Pre-Recorded Message

Is it Something I Said? An Examination of Apprehension and Adaptation Communication Traits on Field Interviewer Performance. — David Alward,RTI International;Stephen King,RTI International;
Keywords: Communication Traits, Field Interviewer Performance, Field Management, Hiring, CAPI Interviewing

PO Boxes on Address Based Sampling (ABS) Frames - Under- or Over-coverage or Both? — Joseph P. McMichael,RTI International;Derick Brown,RTI International
Keywords: ABS, frame coverage, mail survey, PO Box, OWGM

Social Media Recruitment for Adolescent Sexual Minority Males and Transgender Youth — Erin Fordyce,NORC at the University of Chicago;Melissa Heim Viox,NORC at the University of Chicago;Michael Stern,NORC at the University of Chicago;Sabrina Avripas,NORC at the University of Chicago; Ipek Bilgen,NORC at the University of Chicago;Vanessa Flowers,NORC at the University of Chicago;Stuart Michaels,NORC at the University of Chicago;Christopher Harper,Centers for Disease Control and Prevention; Michelle Johns,Centers for Disease Control and Prevention;Richard Dunville,Centers for Disease Control and Prevention
Keywords: LGBTQ, Social Media, Survey Recruitment, Web Surveys, Youth