National Academies Press: OpenBook

Survey Automation: Report and Workshop Proceedings (2003)

Chapter: Workshop Information

« Previous: Panel Discussion: How Can Computer Science and Survey Methodology Best Interact in the Future
Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
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Workshop Information

AGENDA

Workshop on Survey Automation

The Melrose Hotel, Washington, DC

Day One: April 15, 2002

9:00

Introductions and Opening Remarks

Chester E. Bowie, U.S. Census Bureau

9:15

Overview: Problems in Current CAPI Implementations

9:15

CAPI Implementation of the Survey on Income and Program Participation

Pat Doyle, U.S. Census Bureau

10:30

Break

10:40

Idealized CAPI Implementation from Computer Science Perspective

Jesse Poore, University of Tennessee-Knoxville

11:20

Automation and Federal Statistical Surveys: Need for a Bridge

Robert Groves, University of Michigan

11:30

Lunch

12:30

Documentation of Complex CAPI Questionnaires

12:30

Understanding the “Documentation Problem” in Survey Automation

Tom Piazza, University of California at Berkeley

1:15

The TADEQ Project

Jelke Bethlehem, Statistics Netherlands

2:00

Computer Science Approaches: Visualization Tools & Software Metrics

Thomas McCabe, McCabe Technologies

2:45

Break

3:00

Tutorial on Software Engineering and Model-Based Testing

Harry Robinson, Microsoft

Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×

3:40

Testing of Computerized Instruments

3:40

Case Example of Software Testing

Robert L. Smith, (Formerly) Computer Curriculum Corp.

4:10

An Integrated View of Survey Automation

Larry Markosian, Independent Consultant

4:35

Practitioner Needs, and Reactions to Computer Science Approaches

Mark Pierzchala, Westat

5:15

Reactions and Floor Discussion

Day Two: April 16, 2002

9:00

Emerging Technologies in Survey Automation

9:00

Web-Based Data Collection

Roger Tourangeau, Joint Program on Survey Methodology

9:40

Interface of Survey Methods with Geographic Information Systems

Sarah Nusser, Iowa State University

10:20

Prospects for Survey Collection Using Pen-Based Computers

Martin Meyer & Jay Levinsohn, Research Triangle Institute

11:00

Break

11:15

Panel Discussion: How Can Computer Science and Survey Methodology Best Interact in the Future?

Mick Couper (moderator), University of Michigan

Reg Baker, MS Interactive

Bill Kalsbeek, University of North Carolina

Tony Manners, Office for National Statistics, United Kingdom

Susan Schechter, U.S. Office of Management and Budget

12:15

Lunch, Final Comments, and Adjourn

Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×

LIST OF WORKSHOP PARTICIPANTS AND ATTENDEES

In the following list, the names of workshop participants—those with a planned speaking role—are preceded by •. Those invited guests and attendees who asked questions or made comments at the workshop— and for whom voices or surrounding speech made identification in the proceedings text possible—are preceded by . Our apologies to those audience members whose contributions to the workshop could not be positively identified from the workshop tapes and whose contributions are unfortunately cloaked by the label PARTICIPANT in the text.

Tammy Anderson, U.S. Census Bureau

Karen Bagwell, U.S. Census Bureau

Reg Baker, MS Interactive

David Banks, Food and Drug Administration

Patrick Benton, U.S. Census Bureau

Lew Berman, National Center for Health Statistics

Jelke Bethlehem, Statistics Netherlands

Chester E. Bowie, U.S. Census Bureau

Janis Lea Brown, U.S. Census Bureau

Lynda Carlson, National Science Foundation

Constance Citro, National Research Council

Cynthia Clark, U.S. Census Bureau

Michael Cohen, National Research Council

Quentin Coleman, National Agricultural Statistics Service

Daniel Cork, National Research Council

Joe Cortez, U.S. Census Bureau

Mick Couper, University of Michigan

Kathy Creighton, U.S. Census Bureau

Cathryn Dippo, Bureau of Labor Statistics

Pat Doyle, U.S. Census Bureau

Ed Dyer, U.S. Census Bureau

Jimmie Givens, National Center for Health Statistics

Nancy Gordon, U.S. Census Bureau

Ann Green, Social Science Statistical Laboratory, Yale University

Robert Groves, University of Michigan

Doug Guan, U.S. Census Bureau

Susan Hauan, U.S. Department of Health and Human Services

Heather Holbert, U.S. Census Bureau

Bernie Greene, National Center for Education Statistics

Tim Hart, Bureau of Justice Statistics

William Kalsbeek, University of North Carolina

Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×

Howard Kanarek, U.S. Census Bureau

Patsy Klaus, Bureau of Justice Statistics

Cheryl Landman, U.S. Census Bureau

Jay Levinsohn, Research Triangle Institute

Jennifer Madans, National Center for Health Statistics

Tony Manners, Office for National Statistics, United Kingdom

Tim Marshall, U.S. Census Bureau

Lawrence Markosian, independent consultant

Thomas McCabe, McCabe Technologies

Martin Meyer, Research Triangle Institute

Bill Mockovak, Bureau of Labor Statistics

Steve Newman, Westat

Sarah Nusser, Iowa State University

Jim O’Reilly, Westat

Adrienne Oneto, U.S. Census Bureau

Andrea Piani, U.S. Census Bureau

Tom Piazza, University of California at Berkeley

Mark Pierzchala, Westat (at time of workshop) and Mathematica Policy Research

Jesse Poore, University of Tennessee-Knoxville

Daryl Pregibon, AT&T Labs–Research

Ray Ravaglia, Education Program for Gifted Youth, Stanford University

Callie Rennison, Bureau of Justice Statistics

Harry Robinson,Microsoft

Johanna Rupp, U.S. Census Bureau

Susan Schechter, Office of Management and Budget

Michael Siri, National Research Council

Robert L. Smith, Computer Curriculum Corporation

Miron Straf, National Research Council

Libbie Stephenson, Institute for Social Science Research, University of California at Los Angeles

Anne Stratton, National Center for Health Statistics

Wendy Thomas, Minnesota Population Center, University of Minnesota

Roger Tourangeau, University of Maryland

Clyde Tucker, Bureau of Labor Statistics

David Uglow, Mathematica Policy Research

Laarni Verdolin, U.S. Census Bureau

Andrew White, National Research Council

Arnie Wilcox, National Agricultural Statistics Service

Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×
Page 247
Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×
Page 248
Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×
Page 249
Suggested Citation:"Workshop Information." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
×
Page 250
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For over 100 years, the evolution of modern survey methodology—using the theory of representative sampling to make interferences from a part of the population to the whole—has been paralleled by a drive toward automation, harnessing technology and computerization to make parts of the survey process easier, faster, and better. The availability of portable computers in the late 1980s ushered in computer-assisted personal interviewing (CAPI), in which interviewers administer a survey instrument to respondents using a computerized version of the questionnaire on a portable laptop computer. Computer assisted interviewing (CAI) methods have proven to be extremely useful and beneficial in survey administration. However, the practical problems encountered in documentation and testing CAI instruments suggest that this is an opportune time to reexamine not only the process of developing CAI instruments but also the future directions of survey automation writ large.

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