Occupational Analysis and Job Structures.
Abstract
The objective of this study was to review the major issues and trends in job family research and to develop a method for evaluating the quality of job cluster structures. The proposed cluster evaluation method consists of the following four components: (1) internal validation, (2) consistency analysis, (3) external comparisons and (4) validation against an external criterion. Four Army databases contining job analysis information were used to test the evaluation method. Clusters were formed by three empirical procedures: (1) Ward hierarchical cluster analysis (HCA), (2) average linkage HCA, and (3) K-means partitional clustering. The method was useful in constructing job clusters, evaluating their consistency across clustering procedures and samples, and in making external comparisons with other job family structures. It can be applied to any cluster structure evaluation problem, specifically, in the present context, to constructing new job families, developing task clusters for structuring and restructuring jobs, and evaluating the quality of existing cluster structures.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1996
- Accession Number
- ADA309141
Entities
People
- Dick A. Harris
- Gene R. Hoffman
- Mary A. Statman
- Monica Gribben
Organizations
- George Washington University