Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
530
Wed, 8/2/2017,
10:30 AM -
11:15 AM
CC-Halls A&B
SPEED: Survey Research Methods — Contributed Poster Presentations
Survey Research Methods Section , Statistics Without Borders
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214534
19:
Sampling Methodology and Coverage Issue for a National School-Based Survey
—
S. Sean Hu, CDC ; Linda Neff, Centers for Disease Control and Prevention ; Ronaldo Iachan, ICF International ; Kate Flint, ICF International ; Alice Roberts, ICF International ; Karen Cullen, Food and Drug Administration
20:
Comparing Alternative Methods for the Random Selection of a Respondent Within a Household for Online Surveys
—
Geneviève Vézina, Statistics Canada ; Pierre Caron, Statistics Canada
21:
Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance
—
Lori Rothenburg, North Carolina State University ; A Blanton Godfrey, North Carolina State University ; Brian Hanninen, Evaluation Café
23:
The Link Between Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel
—
Bella Struminskaya, Utrecht University ; Tobias Gummer, GESIS - Leibniz Institute for the Social Sciences
24:
Highly Robust Multiple Imputation Models Using BART
—
Michael R. Elliott, University of Michigan ; Vincent Tan, Univerisity of Michigan ; Carol Flannagan, Univerisity of Michigan
25:
Multiple Imputation in Longitudinal Studies with Circularity
—
Elizabeth Petraglia, Westat
26:
Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
—
Angelina Hammon
27:
Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys
—
Maya Sternberg, Centers for Disease Control & Prevention
28:
Donor Selection for MCBS Asset Imputation
—
Kanru Xia, NORC ; Meimeizi Zhu, NORC ; Cheryl L. Sharpless, CMS ; John C. McCormick, CMS ; Edward Mulrow, NORC
29:
Imputation of Missing Data in Surveys and Studies in Dental Research
—
Michael Larsen, George Washington University ; Charles D Larsen, Stony Brook School of Dental Medicine
30:
Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
—
Qiao Ma, NORC at the University of Chicago ; Josiane Bechara, NORC at the University of Chicago ; Edward Mulrow, NORC ; Zachary Haskell Seeskin, NORC at the University of Chicago ; Morgane Bennett, Truth Initiative ; Jennifer Cantrell, Truth Initiative ; Elizabeth Hair, Truth Initiative ; Donna Vallone, Truth Initiative
31:
A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems
—
Kimberly Ault, RTI International ; Laura Smith, RTI International ; Harper Gordek, RTI International ; Wayne Anderson, RTI International
32:
Imputation Classes as a Framework for Inferences From Non-random Samples
—
Vladislav Beresovsky, National Center for Health Statistics
33:
Investigating the Performance of Inverse Sampling for Model Estimation
—
Zachary Haskell Seeskin, NORC at the University of Chicago ; Josiane Bechara, NORC at the University of Chicago ; Qiao Ma, NORC at the University of Chicago ; Edward Mulrow, NORC
34:
The Heckman Selection Model with Complex Survey Data
—
Michael Machiorlatti, University of Oklahoma Health Sciences Center ; Sixia Chen ; Dr. Sara Vesely, The University of Oklahoma Health Sciences Center
35:
Analysis of Familial Aggregation with Complex Survey Data
—
Cong Wang, George Washington University ; Zhaohai Li, George Washington University ; Barry I. Graubard, National Cancer Institute
36:
Effect Modifications of Blood Lead-Cardiovascular Disease Mortality Association by Time-Related Factors Studied Using NHANES Linked Mortality Files
—
Yutaka Aoki, National Center for Health Statistics ; Jennifer Parker, National Center for Health Statistics
37:
MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION
—
Joseph Zappa, Ipsos Public Affairs ; Robert Petrin, Ipsos Public Affairs ; Kaitlyn McAuliffe, Ipsos Public Affairs