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

Abstract

Puofic reporting ourden for this collection of information s estimated to average 1 hour per res nse. inciucing the time for reviewing instructions, searching existing data sources. 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 represenation 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. SUBJECT TERMS 15. NUMBER OF PAGES GENERAL INSTRUCTIONS FOR COMPLETING SF 298The Report Documentation. Page (RDP) is used in announcing and cataloging reports. It is important that this information be consistent with the rest of the report, particularly the cover and title page. Instructions for fi!ling in each block of the form follow. It is important to stay within the lines to meet optical scanning requirements. ABSTRACTThis research attempts to validate a proposed modei of human knowledge structure. An operational definition of knowledge structure was derived which formed the basis for the construction of the proposed model. Until this time, understanding of knowledge structure has been influenced by the output of the various knowledge structure measurement techniques and their associated assumptions.A battery of available knowledge structure measurement techniques was used in order to detect the structure differences between two experience level groups in the domain of clerical work. The tzzhnX-,,,,. s ,.rd borting, hierarcnicai clustering analysis, repertory grid, multidimensional scaling, Pathfinder, and pairwise similarity ratings. Subjects were required to perform the standard tasks associated with the use of each measurement technique.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, Structure 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 structures between experience level groups.Further research is needed to ref...

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