After becoming familiar with computers and establishing a re- search plan, a scholar faces the challenge of transforming an unwieldy source into a usable data set. Historians often become interested in formal analysis when discovering a mass record such as a shipping list, marriage register, poll book, or personnel file which promises exciting insights--if it could only be analyzed! Her- meneutic researchers react predictably, but problematically: Some scholars simply ignore an unmanageable source, declaring it unim- portant and thereby impoverishing research. Others browse so as to "get a feel" for the document, but their impressions risk grave er- rors if the data are not uniform. More conscientious historians tend to select a record segment, small enough to be probed in detail but often quite unrepresentative of the whole. Finally, well-meaning researchers sometimes employ inadequate techniques such as end- less card files or pencil lists which require laborious sorting and limit the exploration of variables. Such questionable procedures might have been inevitable as long as there were no alternatives, but with the maturation of historical computing, they have become inexcusable. Once convinced of the potential benefits of a more stringent approach, a researcher will wonder about how to make a source machine-readable, how to organize a codebook, and how to enter the data into the computer. These seemingly practical ques- tions have important interpretative implications as well.
MAKING MATERIAL MACHINE-READABLE
In order to use the computer in analysis, historians must make their sources machine-readable. While textual data bases can pre-
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Publication Information: Book Title: Quantitative Methods for Historians: A Guide to Research, Data, and Statistics. Contributors: Konrad H. Jarausch - author, Kenneth A. Hardy - author. Publisher: University of North Carolina Press. Place of Publication: Chapel Hill, NC. Publication Year: 1991. Page Number: 37.
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