JSM Preliminary Online Program
This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


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Legend: = Applied Session, = Theme Session, = Presenter
Washington Convention Center = “CC”, Renaissance Washington, DC Hotel = “RH”

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284 Tue, 8/4/09, 8:30 AM - 10:20 AM CC-Hall D
Contributed Oral Poster Presentations - Contributed - Poster Presentations
Section on Survey Research Methods
Chair(s): Lara Schmidt, RAND Corporation
Poster Topic: Sampling and survey methodology:
32: Why Is Survey Research 20 Years Behind?Robert E. Fay, Westat, Inc.
33: Optimizing Call Time of Day in an RDD SurveyS. Sean Hu, CDC; Lina Balluz, CDC; Willaim Garvin, CDC; Mohamed Qayad, CDC
Poster Topic: Social and behavioral science:
34: Using Sample Statistics to Quantify Community BuildingBart Phillips, Community Building Tutors, NFP
Poster Topic: Incomplete data analysis, imputation methods:
36: Imputation Methods for Adaptive Matrix SamplingJeffrey Gonzalez, Bureau of Labor Statistics; John L. Eltinge, Bureau of Labor Statistics
Poster Topic: Applications and case studies:
37: Testing Hardy-Weinberg Equilibrium Using Family Data from Complex SurveysDewei She, The George Washington University; Hong Zhang, University of Science and Technology of China; Zhaohai Li, The George Washington University
Poster Topic: Government statistics:
38: Pretesting 2010 Census Questionnaires for People with Atypical Living SituationsJennifer H. Childs, U.S. Census Bureau; Nathan Jurgenson, U.S. Census Bureau; Dawn R. Norris, U.S. Census Bureau
39: One-Time Contact for a Census Internet Survey: Is It Sufficient? Washington State Professional Health Worker Census Internet Mode Effect and Response Rate StudyDanna L. Moore, Washington State University; Bruce Austin, Washington State University; Kent Miller, Washington State University
Poster Topic: Sampling and survey methodology:
40: Are 'Do Not Include' Statements Helpful?Monica Dashen, Bureau of Labor Statistics
Poster Topic: Graphics, visualization:
41: Visualization of Complex Survey DataEdward Mulrow, NORC at the University of Chicago; Susan Hinkins, NORC at the University of Chicago; Fritz Scheuren, NORC at the University of Chicago
Poster Topic: Health policy, epidemiology, public health:
42: Variability in Life-Table Estimates Based on the National Health Interview Survey Linked Mortality FilesVan L. Parsons, National Center for Health Statistics; Nathaniel Schenker, National Center for Health Statistics; Kimberly Lochner, National Center for Health Statistics; Gloria Wheatcroft, National Center for Health Statistics; Elsie R. Pamuk, National Center for Health Statistics
Poster Topic: Sampling and survey methodology:
43: Model-Based Methods in Analyzing Complex Survey Data: A Case Study with National Health Interview Survey DataRong Wei, National Center for Health Statistics; Van L. Parsons, National Center for Health Statistics
44: Estimating the Variance of Between-Year Change in Domain-Level Totals Kimberly Henry, IRS; Valerie Testa, IRS; Richard Valliant, University of Michigan
Poster Topic: Mathematical statistics, distribution theory, robust statistics:
45: Characteristic Function for and Moments of the Truncated Triangular DistributionJay J. Kim, National Center for Health Statistics; Myron Katzoff, National Center for Health Statistics; Rahul A. Parsa, Drake University
Poster Topic: Sampling and survey methodology:
46: Developing models of respondent fatigue to guide the order in which to ask survey questionsBrian L. Egleston, Fox Chase Cancer Center
47: Nonresponse Bias: Telephone Point-of-Purchase SurveyMadeleine Saxton, Bureau of Labor Statistics; Patrick Falwell, Bureau of Labor Statistics
48: Alphabetical Placement in Surveys of Persons at Institutions: A Simulation Study — Pedro J. Saavedra, ICF Macro; Francine Barrington, ICF Macro
49: A Weighting Methodology for Complex SurveysVicki J. Pineau, TNS-Global; Margaret E. Strickland, TNS Global; N. D. Prabhakar, TNS Global; Carl T. Finkbeiner, TNS Global
Poster Topic: Incomplete data analysis, imputation methods:
50: Reproducing Nonresponse Adjustments in Replicate Weights — Pedro J. Saavedra, ICF Macro; R. Lee Harding, Macro International, Inc.
Poster Topic: Sampling and survey methodology:
52: Bayes Model for Inference on Vehicular Traffic Density at the Main Campus of University of LagosRay Okafor, University of Lagos; A. I. Opara, University of Lagos; Rotimi Ogundeji, University of Lagos; Ugochukwu Mbata, University of Lagos
55: Sequential Modeling for Contact and Cooperation Propensity for the United States Military Health SurveyDarryl V. Creel, RTI International; Vincent G. Iannacchione, RTI International
56: A Noninformative Bayesian Approach to Small-Area Estimation — Glen Meeden, The University of Minnesota; Yanping Qu, The University of Minnesota; Bo Zhang, The University of Minnesota
Poster Topic: Social and behavioral science:
57: Towards a Unified Framework for Inference with Aggregated Relational DataTian Zheng, Columbia University; Tyler H. McCormick, Columbia University
Poster Topic: Sampling and survey methodology:
58: Developing the Dual Frame Design for the 2010 National Survey of College GraduatesJohn M. Finamore, U.S. Census Bureau; David W. Hall, U.S. Census Bureau; Stephen Cohen, National Science Foundation; Fan Zhang, National Science Foundation; Flora Lan, National Science Foundation; Donsig Jang, Mathematica Policy Research, Inc.
59: Missing Data and Complex Samples: The Impact of Listwise Deletion vs. Subpopulation Analysis on Statistical Bias and Hypothesis Test Results When Data Are MCAR and MARBethany A. Bell, University of South Carolina; Jeffrey D. Kromrey, University of South Florida; John M. Ferron, University of South Florida
Poster Topic: Applications and case studies:
60: A Comparison of Address-Based Sampling and Random Digit Dialing SamplingDaniel E. Williams, Western Wats; Edward P. Johnson, Opinion Outpost
Poster Topic: Sampling and survey methodology:
61: Assessing Survey Estimates of Intent to Leave with Personnel DataTaylor Lewis, Office of Personnel Management; Mary Clair Turner, Office of Personnel Management; Eulus Moore, Office of Personnel Management; Bob Heim, Office of Personnel Management
Poster Topic: Longitudinal data, repeated measurements, and meta-analysis:
62: Model Selection in Linear Mixed Effects ModelsYing Lu, University of Colorado at Boulder; Heng Peng, The Hong Kong Baptist University
Poster Topic: Sampling and survey methodology:
63: Translation of Agreement Answer Scales: Effects on Category Response CurvesMario Callegaro, Knowledge Networks; Ana Villar, University of Nebraska Lincoln
Poster Topic: Incomplete data analysis, imputation methods:
64: Assessing the Convergence of Multiple Imputation Algorithms Using a Sequence of Regression ModelsJian Zhu, University of Michigan; Trivellore E. Raghunathan, University of Michigan
Poster Topic: Longitudinal data, repeated measurements, and meta-analysis:
66: Optimal Probability Weighting Methods in Longitudinal Models for Data with Nonignorable Unequal Selection and Nonignorable Wave NonresponseSharon L. Christ, The University of North Carolina at Chapel Hill
Poster Topic: Sampling and survey methodology:
67: Sampling Weights for Analysis of Couple Data in Demographic and Health SurveysBryan Sayer, Social & Scientific Systems, Inc.; Stan Becker, Johns Hopkins University
68: Issues Associated with Measuring Activities Associated with Seeing and Hearing Across National SurveysFrances M. Chevarley, Agency for Healthcare Research and Quality; David W. Keer, U.S. Department of Education; Barbara M. Altman, Consultant
69: Effectiveness of Nesting Age, Race, and Gender for Weighting Estimates of Radio ListeningKelly Dixon, Arbitron, Inc.
70: Analysis of Data from Complex Survey Samples: Propensity Scores and Survey WeightsWeiwei Cui, National Institute of Statistical Sciences; Nan Liu, Child Trends, Inc.
72: Confidence Intervals for Radio Ratings EstimatorsRichard Griffiths, Arbitron, Inc.
 

JSM 2009 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2008