| Abstract: | The derivation of an empirically based classification scheme for the leisure market is discussed from both a substantive and methodological viewpoint. The substantive findings relate to the manner in which respondents structured relationships among 12 leisure activities and to the criteria they used in doing so. Based on the apparent structure, a number of activity types were identified. The methodological thrust of the article provides one example of how a variety of multivariate methods (multidimensional scaling, property fitting, cluster analysis and factor analysis) can be employed to form a system of complementary techniques aimed at providing an in-depth understanding of data and the phenomena they describe. |
