Hostname: page-component-5cf477f64f-tx7qf Total loading time: 0 Render date: 2025-04-07T04:01:06.626Z Has data issue: false hasContentIssue false
  • English
  • Français

P.M. Kroonenberg (2008). Applied Multiway Data Analysis. Hoboken, NJ: Wiley. xxi + 579 pp. US$115.00. ISBN: 978-0-470-16479-6.

Review products

P.M. Kroonenberg (2008). Applied Multiway Data Analysis. Hoboken, NJ: Wiley. xxi + 579 pp. US$115.00. ISBN: 978-0-470-16479-6.

Published online by Cambridge University Press:  01 January 2025

Sungjin Hong
Sungjin Hong*
Affiliation:
University of Illinois, Urbana-Champaign
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Information
Psychometrika , Volume 74 , Issue 1 , March 2009 , pp. 179 - 180
Copyright
Copyright © 2008 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Carroll, J.D., Chang, J. (1970). Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition. Psychometrika, 35, 283–319.CrossRefGoogle Scholar
Cattell, R.B. (1966). The data box: Its ordering of total resources in terms of possible relational systems. In Cattell, R.B. (Eds.), Handbook of multivariate experimental psychology (pp. 67–128). Chicago: Rand McNally.Google Scholar
Coppi, R., Bolasco, S. (1989). Multiway data analysis, Amsterdam: Elsevier.Google Scholar
Eckart, C., Young, G. (1936). The approximation of one matrix by another of lower rank. Psychometrika, 1, 211–218.CrossRefGoogle Scholar
Harshman, R.A. (1970). Foundations of the Parafac procedure: Models and conditions for an “explanatory” multi-modal factor analysis. UCLA Working Papers in Phonetics, 16, 1–84.Google Scholar
Kroonenberg, P.M., De Leeuw, J. (1980). Principal component analysis of three-mode data by means of alternating least squares algorithms. Psychometrika, 45, 69–97.CrossRefGoogle Scholar
Law, H.G., Snyder, C.W. Jr., Hattie, J.A., McDonald, R.P. (1984). Research methods for multimode data analysis, New York: Praeger.Google Scholar
Smilde, A., Bro, R., Geladi, P. (2004). Multiway analysis with applications in the chemical sciences, Chichester: Wiley.CrossRefGoogle Scholar
Tucker, L.R. (1966). Some mathematical notes on three-mode factor analysis. Psychometrika, 31, 279–311.CrossRefGoogle ScholarPubMed