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.
National Research Council, Division on Earth and Life Studies, Board on Agriculture and Natural Resources, Committee on Animal Nutrition, Subcommittee on Dog and Cat Nutrition
National Research Council, Division on Earth and Life Studies, Board on Agriculture and Natural Resources, Committee on Nutrient Requirements of Horses
National Research Council, Division on Earth and Life Studies, Board on Agriculture and Natural Resources, Committee on Nutrient Requirements of Horses
National Research Council, Division of Behavioral and Social Sciences and Education, Commission on Behavioral and Social Sciences and Education, and Biomechanics Committee on Hearing, Bioacoustics
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National Research Council, Division on Engineering and Physical Sciences, National Materials Advisory Board, Commission on Engineering and Technical Systems, Committee on Superhard Materials
National Research Council, Division on Engineering and Physical Sciences, Space Studies Board, Committee on Planetary Biology and Chemical Evolution, Division on Engineering and Physical Sci
and Medicine National Academies of Sciences, Engineering, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, National Academies of Sciences Engineeri, Division of Behavioral and Social Scienc, National Academies of Sciences Engineering and Medicine, Committee On National Statistics, Michael L. Cohen, Constance F. Citro, Michael L Cohen, Constance F Citro