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DeSarbo, Wayne S.; Park, Joonwook; Scott, Crystal J. – Psychometrika, 2008
A cyclical conditional maximum likelihood estimation procedure is developed for the multidimensional unfolding of two- or three-way dominance data (e.g., preference, choice, consideration) measured on ordered successive category rating scales. The technical description of the proposed model and estimation procedure are discussed, as well as the…
Descriptors: Monte Carlo Methods, Rating Scales, Computation, Multidimensional Scaling

Brusco, Michael J.; Cradit, J. Dennis – Psychometrika, 2001
Presents a variable selection heuristic for nonhierarchical (K-means) cluster analysis based on the adjusted Rand index for measuring cluster recovery. Subjected the heuristic to Monte Carlo testing across more than 2,200 datasets. Results indicate that the heuristic is extremely effective at eliminating masking variables. (SLD)
Descriptors: Cluster Analysis, Heuristics, Monte Carlo Methods, Selection