附註:Proceedings of the Workshop on Survey Automation convened by the Committee on National Statistics of the National Academies on Apr. 15-16, 2002, held in Washington, D.C.
Includes bibliographical references (pages 251-252).
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 -- Proceedings -- Opening remarks -- What makes the CAI testing and documentation problems so hard to solve? / Pat Doyle -- Software engineering -- the way to be / Jesse Poore -- Automation and federal statistical surveys / Bob Groves -- Understanding the documentation problem for complex Census Bureau computer assisted questionnaires / Thomas Piazza -- The TADEQ project: documentation of electronic questionnaires / Jelke Bethlehem -- Computer science approaches: visualization tools and software metrics / Thomas McCabe -- Model-based testing in survey automation / Harry Robinson -- Quality right from the start: the methodology of building testing into the product / Robert Smith -- Interactive survey development: an integrated view / Lawrence Markosian -- Practitioner needs and reactions to computer science approaches / Mark Pierzchala -- Web-based data collection / Roger Tourangeau -- Interface of survey methods with geographic information systems / Sarah Nusser -- Prospects for survey data collection using pen-based computers / Jay Levinsohn and Martin Meyer -- Panel discussion: how can computer science and survey methodology best interact in the future?
摘要: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.