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354
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Tue, 7/30/2019,
10:30 AM -
11:15 AM
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CC-Hall C
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SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 2 — Contributed Poster Presentations
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Survey Research Methods Section, Quality and Productivity Section
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Chair(s): Katherine McLaughlin, Oregon State University
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Oral Presentations
for this session.
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17:
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Using Paradata to Explore Users Pathways Through Web Surveys
Renee Ellis, U.S. Census Bureau
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18:
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Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data
Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
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19:
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A Computationally Efficient Method for Selecting a Split Questionnaire Design
Matthew Stuart; Cindy Yu, Iowa State University
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20:
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Assessing the Relationship Between Balanced Sample and Sample Representativity
Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
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21:
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Trend Analysis for Complex Survey Data with Bayesian Approach
Yi Mu, Centers for Disease Control and Prevention
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22:
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Applications of R Shiny to Evaluate and Improve Total Survey Quality
Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
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23:
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Modifying State Sample Sizes for the National Crime Victimization Survey
Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
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24:
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Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models
Jerry Maples, U.S. Census Bureau
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25:
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Re-Examining File-Level Re-Identification Risk Assessment
Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
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26:
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Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey
Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
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27:
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Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program
Ronaldo Iachan, ICF Macro, Inc.
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28:
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ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS
Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
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29:
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Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes
Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan
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30:
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Recommendations for Assessing and Evaluating Variable Crosswalks
Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
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31:
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A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey
Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
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32:
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Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias
Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
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33:
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Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples
Paul John Lavrakas, Independent Consultant
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34:
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Identity Disclosure Control in Microdata Release by Post-Randomization
Xiaoyu Zhai; Tapan Nayak, George Washington University
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35:
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Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries
Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
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