This article evaluates the performance of the Guttman‐Kaiser criterion in determining the number of significant components or factors in a correlation matrix
Soft systems methodology (SSM) attempts to make sense of complex problem situations which involve human activity. These problem situations are not well defined, often being described as 'fuzzy'. SSM uses models of these purposeful activity systems (human activity systems) to help their interpretation. Tools are not usually associated with this approach because problem situations are difficult to model and tools are considered inappropriate by many of the approache's proponents. In this paper we discuss the benefits of the soft systems approach and the use of tools in general, consider some of the issues relating to tools in the context of soft systems and describe our research in developing tools in this area, in particular, a tool supporting the drawing of rich picture diagrams called Get Rich Quick!
Stratification is a feature of the majority of field sample designs. In the early stages of multi-stagesample procedures the population is often small so that the number of stratification factors which may be employed is limited. The use of cluster analysis allows any number of stratification factors to be incorporated in producing a "specified" or "best" number of strata. An application of the technique in a four-stage design for the selection of a sample of motorists in Birmingham is discussed.
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