Optimal AK Composite Estimators in Current Population Survey
(View Presentation)
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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)
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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)
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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)
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Tamara Zimmerman, Bureau of Labor Statistics; Edwin Robison, Bureau of Labor Statistics
Keywords: Successive Difference Replication; Generalized Variance Functions; Design Effects; Current Population Survey
Probability-Proportional-To-Size Ranked Set Sampling from Stratified Populations
(View Presentation)
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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)
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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
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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
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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)
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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
Outlier Robust Inference Using Probabilistically Linked Data
(View Presentation)
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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)
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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)
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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
Evaluating Data Quality in a Randomized Sequential Mixed-Mode Survey Experiment
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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
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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)
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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)
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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
Investigation of Alternative Calibration Estimators in the Presence of Nonresponse
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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)
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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)
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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
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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
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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)
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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)
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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
Administrative Records for Survey Methodology and Evidence Building
(View Presentation 1)(View Presentation 2)(View Presentation 3)
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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
A Classical Regression Framework for Mediation Analysis with Applications to Behavioral Science
(View Presentation)
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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)
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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)
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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)
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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)
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Luis Fernando Campos, Harvard University
Keywords: Survey Sampling; Electricity Consumption; Gaussian Process; Functional Data; Model-Assisted Estimation; Finite Population Inference
Estimating Survey Attrition Phases Using Change-Point Models
(View Presentation)
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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)
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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)
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Dan Hedlin, Stockholm university
Keywords: response propensity; nonresponse bias
Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
(View Presentation)
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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)
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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)
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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)
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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)
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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
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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)
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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
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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)
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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)
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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)
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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
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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)
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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
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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
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Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
Keywords: Bootstrap; Multiple Imputation; CART; Sensitivity; Specificity
Why Weight, Replicate Now! The Use of Replicate Weights for Complex Survey Data Analysis in SPSS
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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)
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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)
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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)
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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)
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Christian Bruch, University of Mannheim
Keywords: Imputation; Variance estimation; Rescaling bootstrap; Nonresponse; Monte Carlo simulation
Estimating HIV Incidence Using Complex Survey Data
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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)
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Justin McIllece, Bureau of Labor Statistics
Keywords: CPS; GVF; generalized variance functions; replication; quantiles
Choice of Small Area Models Based on Sample Designs and Availability of Auxiliary Data in PIAAC Study
(View Presentation)
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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
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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)
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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
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Robert Fay, Westat
Keywords: Pseudo-EBLUP; EBLUP; Fay-Herriot model; Survey regression estimator
Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
(View Presentation)
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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)
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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)
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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)
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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
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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
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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)
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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)
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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
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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)
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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
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Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
Keywords: SMS; noncontacts; longitudinal surveys; embedded experiments
Record Linkage as a Decision Problem
(View Presentation)
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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)
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Matthew Herbstritt
Keywords: Census; Address Canvassing; Satellite imagery; Master Address File
When to Use Commercial Data for Improved Efficiency
(View Presentation)
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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)
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Benjamin Williams, Southern Methodist University
Keywords: Record Linkage; Non Probability Sampling; Sampling; Combining samples; Biometrics; Matching
Estimating Prediction Error for Complex Samples
(View Presentation)
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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
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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)
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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
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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)
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Fan Wallentin, Uppsala University
Keywords: frequentist method ; Structural equation models; marginal maximum likelihood
Estimating Survey Attrition Phases Using Change-Point Models
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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
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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?
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Dan Hedlin, Stockholm university
Keywords: response propensity; nonresponse bias
Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
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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
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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
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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
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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
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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
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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
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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
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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
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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?
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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
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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
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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
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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
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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
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Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
Keywords: Bootstrap; Multiple Imputation; CART; Sensitivity; Specificity
Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
(View Presentation)
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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
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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
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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)
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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)
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Dilli Bhatta, University of South Carolina Upstate
Keywords: Bayesian; Categorical data; Independence; multi-level logistic regression; Coavriates; TIMSS
Prisoners Are People Too: Statistical Disclosure Control in the 2016 Survey of Prison Inmates
(View Presentation)
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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)
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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)
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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)
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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)
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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
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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
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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
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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)
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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)
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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)
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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)
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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
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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)
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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)
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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)
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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)
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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)
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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
A Comparison of Clustering Algorithms Used for Multivariate Stratification of Primary Sampling Units
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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)
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Van Parsons, National Center for Health Statistics; Chris Moriarity, National Center for Health Statistics
Keywords: sample survey
Efficiency Comparisons of Selective Editing Methods
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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
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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)
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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)
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Denise Abreu, USDA/NASS
Keywords: List Frame; Area Frame; Capture-Recapture; Cost Analysis
Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
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Linda Andes, Centers for Disease Control & Prevention
Keywords: Medicare; Diabetes; Surveillance; Epidemiology; Administrative data
Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
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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
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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
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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
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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
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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
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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
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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
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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?
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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
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Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
Keywords: SMS; noncontacts; longitudinal surveys; embedded experiments
Record Linkage as a Decision Problem
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Alan Karr, RTI International
Keywords: Record linkage; Linkage error; Decision problem
Re-Engineered Address Canvassing for the 2018 End-to-End Census Test
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Matthew Herbstritt
Keywords: Census; Address Canvassing; Satellite imagery; Master Address File
When to Use Commercial Data for Improved Efficiency
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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
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Benjamin Williams, Southern Methodist University
Keywords: Record Linkage; Non Probability Sampling; Sampling; Combining samples; Biometrics; Matching
Adaptive Design: Challenges in Practice
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Michael Yang, NORC
Keywords: design-based inference; nonprobability sample; survey estimation
Artificial Intelligence (AI)-Enhanced Applications to Survey-Specific Imputation Tasks to Achieve Time and Cost Efficiencies
(View Presentation)
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Steven B. Cohen, RTI International
Keywords: imputation; artificial intelligence; survey efficiencies; MEPS
Predicting Panel Drop-Outs with Machine Learning
(View Presentation)
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Christoph Kern, University of Mannheim
Keywords: panel attrition; nonresponse; machine learning
Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates
(View Presentation)
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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)
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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
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Zhengyuan Zhu, Iowa State University
Keywords: classification; land cover; land use; gap filling; small area estimation; data fusion
Understanding Rerandomization Through Simulation
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Crystal Shaw, UCLA; Thomas Belin, UCLA
Keywords: Rerandomization; Mahalanobis Distance; Tiered Covariate Balancing; Blocking
Estimation Methods for Nonprobability Samples with a Companion Probability Sample
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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
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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
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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
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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
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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
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George Couzens, RTI International; Marcus Berzofsky, RTI International
Keywords: imputation; nonignorable missingness; fully-conditional specification; supplementary homicide reports
Prisoners Are People Too: Statistical Disclosure Control in the 2016 Survey of Prison Inmates
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
Modeling Covariance Structure for Longitudinal Data
(View Presentation)
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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)
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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
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Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
Keywords: variance estimation; high entropy sampling designs; quantiles; unit nonresponse
Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
(View Presentation)
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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)
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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)
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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)
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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
Bayesian IRT and Factor Modeling with Missing Values
(View Presentation)
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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)
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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)
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Stef van Buuren, TNO
Keywords: MICE; missing data; joint modeling; fully conditional specification
Bootstrap Inference for Multiple Imputation Under Uncongeniality
(View Presentation)
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Jonathan Bartlett, AstraZeneca
Keywords: multiple imputation; bootstrap; congeniality
Mixing Modes Versus Providing Internet Equipment: How Do Different Strategies of Including the Offline Population Affect Probability-Based Online Panel Data Over Time?
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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
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David Biagas, National Agricultural Statistics Service
Keywords: Order Effects; Agricultural Labor; Occupational Classification; Survey Research
Household Informant Reporting of Crime Victimization
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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)
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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
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Shu-Hui Hsieh, Research Center for Humanities and Social Science, Academia Sinica
Keywords: multi-level randomized response technique; Taiwan Social Change Survey; income
Non-Probability Sampling
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Karol Krotki, RTI International
Keywords: non-probability sampling; survey research tools; modern survey research; survey sampling
Comparing Non-Response Adjustment Methods in the Panel on Household Finances
(View Presentation)
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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)
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Andrea Neri, Banca d'Italia
Keywords: web survey; mode effect; sensitive questions
How Wealthy Are Households - Coherence Between Macro and Micro Statistics
(View Presentation)
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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
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Pirmin Fessler; Martin Schürz, Oesterreichische Nationalbank
Keywords: wealth; measurement; survey data; households; economic stratification; methodology
Evolution of the Modern Post-Enumeration Survey: How Did We Get Here and Where Should We Go Next?
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Howard Hogan, U. S. Census Bureau
Keywords: Census; coverage; history
Considerations in Designing the 2020 Post-Enumeration Survey Sample
(View Presentation)
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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)
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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
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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
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Timothy Kennel, U.S. Census Bureau
Keywords: Post-Enumeration Survey; Calibration; Correct Enumerations; Erroneous Enumerations; Coverage Measurment
Substate Small Area Estimates Using Data from the 2014-2016 National Surveys on Drug Use and Health (NSDUHs)
(View Presentation)
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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
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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)
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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)
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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
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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)
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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)
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Hui Xie, CDC; Lawrence Barker, CDC; Deborah Rolka, CDC
Keywords: Small area estimation; Sampling weights adjustment; BRFSS; Power prior ; Effective case counts
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
Two Short or One Long: An Experiment Comparing Survey Length vs. Quantity of Surveys
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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)
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Celine Wuyts
Keywords: Interviewer effects; Interview speed; Interviewer burden
What Do Interviewers Learn? An Examination of Interview Length and Interviewer Behaviors
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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)
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Tobias Schmidt, Deutsche Bundesbank; Kristina Altmann, Deutsche Bundesbank
Keywords: interview length; interviewer experience; survey methodology; household surveys
Relationship Between Positive Responses to Child-Specific Probes on the 2010 Census Questionnaire and 2010 Census Coverage Measurement Nonmatching Young Children
(View Presentation)
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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
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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)
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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)
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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)
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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)
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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
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Luke J Larsen, U.S. Census Bureau
Keywords: Census Bureau; Planning Database; Low Response Score; sampling error; multivariate regression; simulation
Combining Survey and Administrative Data to Produce Official Statistics
(View Presentation)
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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)
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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)
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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
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Michael Robbins, RAND Corporation
Keywords: Survey Panel; Calibration; Jackknife
Ad-Hoc Calibration for Rounding Rules with Nonlinear Benchmarks
(View Presentation)
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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
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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
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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)
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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
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Janice Lent, U.S. Energy Information Administration
Keywords: time series; calibration; energy statistics
Relaxation of Ignorability and Independence Assumptions Under the Availability of Auxiliary Moment Conditions: Application to Data Fusion
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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)
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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
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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)
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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
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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
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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
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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)
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
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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
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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
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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
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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?
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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
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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
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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
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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.
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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?
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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
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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