Meulman, J.J., & Verboon, P. (1993).
Points of view analysis revisited: fitting multidimensional structures
to optimal distance components with cluster restrictions on the
variables. Psychometrika, 58, 7-35.
A procedure is proposed that can be viewed as a streamlined,
integrated version of the Tucker and Messick (1963)
Point-of-View analysis, which consisted of a number of separate
steps. At the same time, our procedure can be regarded as a
particularly constrained weighted Euclidean model. While fitting
the model, two types of nonlinear data transformations are
feasible, either for given dissimilarities, where the two types
of transformation can be mixed in the same analysis; a quadratic
assignment framework is used to evaluate the results.
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