Deriving disciplinary structures: Some new methods, models, and an illustration with accounting

Robert Bricker

Journal of the American Society for Information Science, 1991, vol. 42, issue 1, 27-35

Abstract: This study demonstrates the use of two microcomputer based extensions of cocitation clustering, and content analysis to derive a disciplinary structure. The use of an independent data source and multiple discriminant analysis as a validation tool is also demonstrated. One extension of cocitation clustering is a form of non‐hierarchical single‐link clustering, and the second is sequential cocitation threshold stepping. These extensions can be used to cluster cocitations and syntactically represent cluster structure in the form of a dendogram. This structure can be given semantic content through the use of content analysis. The Research Markets Model of the behavior of research scholars provides a framework within which the heterogeneity and homogeneity apparent in the structure of scholarly disciplines is interpreted. © 1991 John Wiley & Sons, Inc.

Date: 1991
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https://doi.org/10.1002/(SICI)1097-4571(199101)42:13.0.CO;2-B

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:42:y:1991:i:1:p:27-35

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