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Survey Automation: Report and Workshop Proceedings

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Survey Automation

Report and Workshop Proceedings (2003)
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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.


Suggested Citation

National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press.

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Publication Info

274 pages | 6 x 9
  • Paperback: 978-0-309-08930-2
  • Ebook: 978-0-309-16803-8

Table of Contents

skim chapter
Front Matter i-xiv
I Report -- Introduction 1-8
Current Practice in Documentation and Testing 9-11
Shift from Survey Research to Software Engineering 12-13
Changing Survey Management Processes to Suit Software Design 14-21
Dealing with Complexity: Broadening the Concept of Documentation 22-27
Reducing Insularity 28-32
II Proceedings - Opening Remarks 33-35
What Makes the CAI Testing and Documentation Problems So Hard to Solve? 36-62
Software Engineering -- The Way to Be 63-77
Automation and Federal Statistical Surveys 78-82
Understanding the Documentation Problem for Complex Census Bureau Computer Assisted Questionnaires 83-96
The TADEQ Project: Documentation of Electronic Questionnaires 97-115
Computer Science Approaches: Visualization Tools and Software Metrics 116-136
Model-Based Testing in Survey Automation 137-152
Quality Right from the Start: The Methodology of Building Testing into the Product 153-163
Interactive Survey Development: An Integrated View 164-173
Practitioner Needs and Reactions to Computer Science Approaches 174-182
Web-Based Data Collection 183-197
Interface of Survey Methods with Geographic Information 198-210
Prospects for Survey Data Collection Using Pen-Based Computers 211-225
Panel Discussion: How Can Computer Science and Survey Methodology Best Interact in the Future 226-246
Workshop Information 247-250
Bibliography 251-252
Biographical Sketches of Workshop Participants and Staff 253-260

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