Use of Cluster Analysis in Leisure Research

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Abstract
Cluster analysis is the generic name of data analysis techniques for appraising similarities among a set of objects described by measurements made on their attributes. In leisure research, the need to use cluster analysis appears, for example, when similarities among a sample of recreation participants (the objects), given a measure of individual participation in different activities (the attributes), is investigated. The principles of cluster analysis are explained through an example, the more commonly used methods are identified and, where applicable, their application in leisure research is referenced, and advice on using these techniques is offered.