Survey Automation

Survey Automation

Report and Workshop Proceedings

  • Auteur: Kalsbeek, William; Groves, Robert; Cohen, Michael L.; Cork, Daniel L.
  • Éditeur: National Academies Press
  • ISBN: 9780309089302
  • eISBN Pdf: 9780309510103
  • eISBN Epub: 9780309168038
  • Lieu de publication:  United States
  • Année de publication électronique: 2003
  • Mois : Juin
  • Pages: 275
  • DDC: 310
  • Langue: Anglais
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.

  • Front Matter
  • <b>I Report</b> -- Introduction
  • Current Practice in Documentation and Testing
  • Shift from Survey Research to Software Engineering
  • Changing Survey Management Processes to Suit Software Design
  • Dealing with Complexity: Broadening the Concept of Documentation
  • Reducing Insularity
  • <b>II Proceedings </b> - Opening Remarks
  • What Makes the CAI Testing and Documentation Problems So Hard to Solve?
  • Software Engineering -- The Way to Be
  • Automation and Federal Statistical Surveys
  • Understanding the Documentation Problem for Complex Census Bureau Computer Assisted Questionnaires
  • The TADEQ Project: Documentation of Electronic Questionnaires
  • Computer Science Approaches: Visualization Tools and Software Metrics
  • Model-Based Testing in Survey Automation
  • Quality Right from the Start: The Methodology of Building Testing into the Product
  • Interactive Survey Development: An Integrated View
  • Practitioner Needs and Reactions to Computer Science Approaches
  • Web-Based Data Collection
  • Interface of Survey Methods with Geographic Information
  • Prospects for Survey Data Collection Using Pen-Based Computers
  • Panel Discussion: How Can Computer Science and Survey Methodology Best Interact in the Future
  • <b>Workshop Information</b>
  • Bibliography
  • Biographical Sketches of Workshop Participants and Staff

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