The Role of Multivariate "Q-Techniques" in the Study of Organizations

A set of multivariate "Q-techniques" are described which can help avoid some of the pitfalls and increase the power of the more popular R methods and bivariate approaches. Techniques such as cluster analysis, inverse factor analysis, hierarchical clustering, and multidimensional scaling are discussed along with a related set of measurement and hypothesis testing options.