Abstract
Examines the use by marketing researchers of a set of techniques, originally developed in mathematical psychology, and termed multidimensional scaling or MDS. States that MDS techniques can operate on a variety of different types of data — they have a common set of objectives and these are examined. Puts forward that MDS techniques seek to represent these relationships in a spatial configuration or model, so that the relationships between brands and variables can be used to aid product positioning and respondents' product requirements can be used as a basis for market segmentation. Proffers that identification of brand images has been approached from two broad directions — the aggregative approach and the disaggregative approach, and goes on to explain these terms and uses in full. Highlights types of scaling and relevant data involving three types of scaling: stimulus space generation; dimension identification; and joint space analysis, discussing these in greater detail. Summarises by stating there remain certain technical problems and limitations of MDS that require further investigation and that results are not always as clear-cut as examples cited.

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