Advanced Search
MyIDEAS: Login to save this article or follow this journal

Geometric representation of association between categories


Author Info

  • Willem Heiser


Registered author(s):


    No abstract is available for this item.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 69 (2004)
    Issue (Month): 4 (December)
    Pages: 513-545

    as in new window
    Handle: RePEc:spr:psycho:v:69:y:2004:i:4:p:513-545

    Contact details of provider:
    Web page:

    Order Information:

    Related research

    Keywords: Categorical data; simplex; triangular plot; paired comparisons; rank orders; permutation polytope; center of gravity; BTL model; Rasch model; inertia; association model; variation; multidimensional unfolding; biplot; multinomial response model; loglinear model; forced classification; classification tree;


    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Sik-Yum Lee & Wai-Yin Poon & P. Bentler, 1992. "Structural equation models with continuous and polytomous variables," Psychometrika, Springer, vol. 57(1), pages 89-105, March.
    2. Henk Kelderman & Carl Rijkes, 1994. "Loglinear multidimensional IRT models for polytomously scored items," Psychometrika, Springer, vol. 59(2), pages 149-176, June.
    3. Michael Greenacre, 1988. "Clustering the rows and columns of a contingency table," Journal of Classification, Springer, vol. 5(1), pages 39-51, March.
    4. Yoshio Takane, 1987. "Analysis of contingency tables by ideal point discriminant analysis," Psychometrika, Springer, vol. 52(4), pages 493-513, December.
    5. Joseph Kruskal & Roger Shepard, 1974. "A nonmetric variety of linear factor analysis," Psychometrika, Springer, vol. 39(2), pages 123-157, June.
    6. Forrest Young & Yoshio Takane & Jan Leeuw, 1978. "The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features," Psychometrika, Springer, vol. 43(2), pages 279-281, June.
    7. Heiser, Willem J. & Meulman, Jacqueline, 1983. "Analyzing rectangular tables by joint and constrained multidimensional scaling," Journal of Econometrics, Elsevier, vol. 22(1-2), pages 139-167.
    8. Boris Mirkin & Phipps Arabie & Lawrence Hubert, 1995. "Additive two-mode clustering: The error-variance approach revisited," Journal of Classification, Springer, vol. 12(2), pages 243-263, September.
    9. K. Deun & P. Groenen & W. Heiser & F. Busing & L. Delbeke, 2005. "Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model," Psychometrika, Springer, vol. 70(1), pages 45-69, March.
    10. Geert Soete & Willem Heiser, 1993. "A latent class unfolding model for analyzing single stimulus preference ratings," Psychometrika, Springer, vol. 58(4), pages 545-565, December.
    11. Mark Rooij & Willem Heiser, 2005. "Graphical representations and odds ratios in a distance-association model for the analysis of cross-classified data," Psychometrika, Springer, vol. 70(1), pages 99-122, March.
    12. Frank Busing & Patrick Groenen & Willem Heiser, 2005. "Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation," Psychometrika, Springer, vol. 70(1), pages 71-98, March.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Fionn Murtagh, 2009. "The Remarkable Simplicity of Very High Dimensional Data: Application of Model-Based Clustering," Journal of Classification, Springer, vol. 26(3), pages 249-277, December.
    2. Adi Ben-Israel & Cem Iyigun, 2008. "Probabilistic D-Clustering," Journal of Classification, Springer, vol. 25(1), pages 5-26, June.


    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


    Access and download statistics


    When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:69:y:2004:i:4:p:513-545. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.