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

Baker, F.T., and Harlan D. Mills 1973 Chief programmer teams. Datamation 19:58–61.


Couper, Mick P., Reginald P. Baker, Jelke Bethlehem, Cynthia Z.F. Clark, Jean Martin, William L. Nicholls II, and James M. O’Reilly, eds. 1998 Computer Assisted Survey Information Collection. New York: John Wiley and Sons.

Crowne, Douglas P., and David Marlowe 1960 A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology 4:349–354.


Doyle, Pat 2001 What good is a metadata system without documentation? Of Significance … 3:5–24.

Dyer, William E., Jr., and Ellen Soper 2001 Challenges of instrument development. In Proceedings of the 7th International Blaise Users Conference. Washington, DC: Westat.


House, Carol 1985 Questionnaire design with computer assisted telephone interviewing. Journal of Official Statistics Vol. 1, No. 2.


McCabe, Thomas J. 1976 A complexity measure. IEEE Transactions on Software Engineering 2:308– 320.


Nass, Clifford, Youngme Moon, and Nancy Green 1997 Are computers gender-neutral? Gender stereotypic responses to computers. Journal of Applied Social Psychology 27:864–876.

National Research Council 1993 The Future of the Survey of Income and Program Participation.Panelto Evaluate the Survey of Income and Program Participation, Constance F. Citro and Graham Kalton, eds. Washington, DC: National Academy Press.

2000a Summary of a Workshop on Information Technology Research for Federal Statistics. Committee on Computing and Communications Research to Enable Better Use of Information Technology in Government. Computer Science and Telecommunications Board and Committee on National Statistics. Washington, DC: National Academy Press.

2002b Data Needs for the State Children’s Health Insurance Program.Panel for the Workshop on the State Children’s Health Insurance Program, Arleen Leibowitz and Earl S. Pollack, eds. Washington, DC: National Academy Press.


Paulhus, Delroy F. 1984 Two-component models of socially desirable responding. Journal of Personality and Social Psychology 46:598–609.

Suggested Citation:"Bibliography." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
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Prowell, Stacy J., Carmen J. Trammell, Richard C. Linger, and Jesse H. Poore 1999 Cleanroom Software Engineering: Technology and Process.New York: Addison-Wesley.

Watson, Arthur H., and Thomas J. McCabe 1996 Structured Testing: A Testing Methodology Using the Cyclomatic Complexity Metric. Special Publication 500-235. National Institute of Standards and Technology, Gaithersburg, Maryland.

Westat 2001 Survey of Income and Program Participation Users’ Guide (Supplement to the Technical Documentation). Prepared for the U.S. Census Bureau.

Suggested Citation:"Bibliography." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
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Page 251
Suggested Citation:"Bibliography." National Research Council. 2003. Survey Automation: Report and Workshop Proceedings. Washington, DC: The National Academies Press. doi: 10.17226/10695.
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Page 252
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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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