Scaling and Multivariate Analyses in the Study of Organizational Variables

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Abstract
A previous paper (Hinings et al. 1967) described an approach to the study of the structure of bureaucratic organizations based on the creation of scaleable dimensions for multivariate analysis. The present paper considers in detail the process of the scaling of an organizational variable and the use of two multidimensional analyses, namely, factor analysis and multiple regression analysis. These are illustrated by analysis of the operationally defined concept of functional specialization. The central points made are: (i) that any data analysis is a function of a theory of organizational behaviour, an error theory, and a computing algorithm; and (ii) that the choice of a method of analysis necessarily implies a choice of a theory of organizational behaviour. In the case of scaling, Guttman's scalogram method and item analysis, borrowed from psychological test theory, are compared. They are found to differ more in computing technique and in their representation of error than in their measurement theory. It is pointed out that the multivariate analyses employed are both compensatory theories of organizational behaviour; the implications of this are discussed.