Multidimensional Similarity Structure Analysis comprises a class of models that represent similarity among entities (for example, variables, items, objects, persons, etc.) in multidimensional space to permit one to grasp more easily the interrelations and patterns present in the data. The book is oriented to both researchers who have little or no previous exposure to data scaling and have no more than a high school background in mathematics and to investigators who would like to extend their analyses in the direction of hypothesis and theory testing or to more intimately understand these analytic procedures. The book is repleted with examples and illustrations of the various techniques drawn largely, but not restrictively, from the social sciences, with a heavy emphasis on the concrete, geometric or spatial aspect of the data representations.(very good all the time . . . not good almost all the a2b1c1d.1e1.f3 time) In general , how do you evaluate your family life? (very good . . . very bad) a1b1c1d2e1 f2 In general, are you satisfied with the way you spend your leisure time?
|Title||:||Multidimensional Similarity Structure Analysis|
|Author||:||I. Borg, J. Lingoes|
|Publisher||:||Springer Science & Business Media - 2012-12-06|