Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic

DOI10.1007/S11336-016-9527-8zbMath1402.62127OpenAlexW2531272587WikidataQ46933962 ScholiaQ46933962MaRDI QIDQ151733

Daniel B. Mcartor, C. S. Bergeman, Gitta H. Lubke, Daniel B. McArtor, Gitta H. Lubke, Cindy S. Bergeman

Publication date: 13 October 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5624863

zbMATH Keywords

distancesMDMRpermutationMDSeffect sizenull distributionmultivariate outcomeperson-centered

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (1)

MDMR

Uses Software

• R
• COSA
• AS 155

Cites Work

• Computing the distribution of quadratic forms: further comparisons between the Liu-Tang-Zhang approximation and exact methods
• A second generation nonlinear factor analysis
• Nonlinear factor analysis as a statistical method.
• Hierarchical clustering schemes
• Simultaneous classification and multidimensional scaling with external information
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonmetric multidimensional scaling. A numerical method
• Multidimensional scaling. I: Theory and method
• Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random Variables
• Clustering Objects on Subsets of Attributes (with Discussion)
• Some distance properties of latent root and vector methods used in multivariate analysis

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