Toward a Model of Knowledge Structure and a Comparative Analysis of Knowledge Structure Measurement Techniques

Abstract

Abstract : This research attempts to develop and validate a proposed model of human knowledge representation. Based on an extensive literature review, a battery of available knowledge representation measurement techniques was selected to detect the representation differences between two experience level groups in the domain of clerical work. The techniques employed were card sorting, hierarchical clustering analysis, repertory grid, multidimensional scaling, Pathfinder, and pairwise similarity ratings. Results validate the existence of all model dimensions. Two dimensions were determined to be affected by experience level. Post-hoc analysis revealed that an additional dimension, Representation Complexity, is a function of experience level differences, and should therefore be included in future model development. Furthermore, the capabilities of the various measurement techniques differed. Specifically, hierarchical clustering analysis was the most effective technique for detecting differences in representations between experience level groups.