Determining the dimensionality of multidimensional scaling representations for cognitive modeling

DOI10.1006/jmps.1999.1300zbMath1003.91033OpenAlexW2127979111WikidataQ52068541 ScholiaQ52068541MaRDI QIDQ1598978

Michael D. Lee

Publication date: 4 June 2002

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmps.1999.1300

zbMATH Keywords

Monte Carlo simulationsmultidimensional scalingcognitive modelingstimulidimensionality determination

Mathematics Subject Classification ID

Cognitive psychology (91E10) One- and multidimensional scaling in the social and behavioral sciences (91C15)

Related Items (10)

A model for clustering data from heterogeneous dissimilarities ⋮ Avoiding the dangers of averaging across subjects when using multidimensional scaling. ⋮ Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach ⋮ The heterogeneous \(p\)-median problem for categorization based clustering ⋮ ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses ⋮ A Bayesian analysis of retention functions ⋮ Modeling individual differences using Dirichlet processes ⋮ Bayes factors: Prior sensitivity and model generalizability ⋮ A latent class multidimensional scaling model for two-way one-mode continuous rating dissimilarity data ⋮ Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial

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