IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables

Listed author(s):
  • Zárraga, A.
  • Goitisolo, B.

When studying more than one contingency table at the same time, it should be considered that factorial results may be affected by the differences between the totals of the tables and by the different structures of the relationships between such tables. Two new methods have recently appeared that seek to solve this problem based on correspondence analysis, using certain characteristics of multiple factorial analysis. These methods are Simultaneous Analysis (SA) and Multiple Factorial Analysis for Contingency Tables (MFACT). The two methods are very similar, but the main difference between them lies in the allocation of the weights attributed to each table. Similarities and differences between them are discussed and a brief example is provided to show the factorial results provided by each one.

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: http://www.sciencedirect.com/science/article/pii/S0167-9473(08)00221-1
Download Restriction: Full text for ScienceDirect subscribers only.

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.

Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 53 (2009)
Issue (Month): 8 (June)
Pages: 3171-3182

as
in new window

Handle: RePEc:eee:csdana:v:53:y:2009:i:8:p:3171-3182
Contact details of provider: Web page: http://www.elsevier.com/locate/csda

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. Vallejo-Arboleda, Amparo & Vicente-Villardon, Jose L. & Galindo-Villardon, M.P., 2007. "Canonical STATIS: Biplot analysis of multi-table group structured data based on STATIS-ACT methodology," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4193-4205, May.
  2. Michael Greenacre, 2003. "Singular value decomposition of matched matrices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(10), pages 1101-1113.
  3. Escofier, B. & Pages, J., 1994. "Multiple factor analysis (AFMULT package)," Computational Statistics & Data Analysis, Elsevier, vol. 18(1), pages 121-140, August.
  4. Gardner, Sugnet & Gower, John C. & le Roux, N.J., 2006. "A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 107-134, January.
  5. J. Gower, 1975. "Generalized procrustes analysis," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 33-51, March.
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:53:y:2009:i:8:p:3171-3182. 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: (Dana Niculescu)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.