Points of view analysis revisited: Fitting multidimensional structures to optimal distance components with cluster restrictions on the variables

DOI10.1007/BF02294468zbMath0775.62001OpenAlexW2066064827MaRDI QIDQ2367532

Jacqueline J. Meulman, Peter Verboon

Publication date: 12 September 1993

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294468

Mathematics Subject Classification ID

Related Items (10)

A latent class unfolding model for analyzing single stimulus preference ratings ⋮ Fitting a distance model to homogeneous subsets of variables: Points of view analysis of categorical data ⋮ Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition ⋮ A distance-based variety of nonlinear multivariate data analysis, including weights for objects and variables ⋮ INDSCAL model: geometrical interpretation and methodology ⋮ A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences ⋮ ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses ⋮ Three-mode component analysis with crisp or fuzzy partition of units ⋮ Combinatorial individual differences scaling within the city-block metric ⋮ Hierarchical clustering of variables: a comparison among strategies of analysis

Uses Software

• KYST

Cites Work

• Convergence of the majorization method for multidimensional scaling
• Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm
• Constrained multidimensional scaling in n spaces
• A latent class vector model for preference ratings
• The analysis of proximities: Multidimensional scaling with an unknown distance function: I, II
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• A general nonmetric technique for finding the smallest coordinate space for a configuration of points
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonmetric multidimensional scaling. A numerical method
• Some Statistical Approaches to Multidimensional Scaling Data
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