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9. A Mathematical Approach to Categorization and Labeling of Qualitative Data: The Latent Categorization Method

Sociological MethodologyPublished 26 November 2004
Kai R. Larsen, David E. Monarchi
Citations40
SJR quartileQ1
SJR score1.44
SNIP1.56

TL;DR

The latent categorization method is introduced, a novel new research method for analysis of large and midsize data sets and a set of techniques for extracting knowledge from a representative data set involving 6135 abstracts from a variety of business-related journals.

Abstract

As text databases increasingly become available to researchers, the limits to human cognition are rapidly reached. Focusing on examining objective realities, this paper introduces the latent categorization method, a novel new research method for analysis of large and midsize data sets. This method clusters text artifacts and extracts the words that were most important in creating the clusters. Further, it demonstrates a set of techniques for extracting knowledge from a representative data set involving 6135 abstracts from a variety of business-related journals.

Keywords

Computer Science