Abstract
Frederick G. Conrad (1996) "Using
Expert Systems To Model And Improve Survey Classification
Processes," Survey Measurement and Process Quality,
Lyberg, L., Biemer, P., Collins, M. DeLeeuw, E., Dippo, C.
Schwarz, N., and Trewin, D., eds. John Wiley & Sons, New
York.
In order to analyze most survey responses, the data must
be assigned to categories. When the response task does not
include classification (as in answering open ended questions)
responses are classified by coding specialists, usually after
the raw data are collected. This chapter distinguishes
between simple and complex classification and argues that
expert system software is particularly good at supporting the
second of these. Simple classification usually involves
locating the response in some sort of dictionary where it is
explicitly mapped to a particular category. The literature
about automated coding of this sort is first reviewed. Then
complex classification is presented as a task requiring the
coding specialist's expertise about the content area. This is
illustrated with two prototype expert systems that embody
specialists' knowledge of occupational classification in the
Occupational Compensation Survey Program and the review of
commodity substitutions in the Consumer Price Index. Finally,
some of the practical considerations of implementing expert
systems in survey organizations are presented.
Last Modified Date: July 19, 2008
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