• Media type: E-Book
  • Title: Constrained Canonical Correlation
  • Contributor: DeSarbo, Wayne S. [Author]; Hausman, Robert [Other]; Lin, Shen [Other]; Thompson, Wesley [Other]
  • Published: [S.l.]: SSRN, [2016]
  • Extent: 1 Online-Ressource (28 p)
  • Language: English
  • Origination:
  • Footnote: In: Psychometrika, Volume 47, Issue 4, pp 489-516, 1982
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 1982 erstellt
  • Description: This paper explores some of the problems associated with traditional canonical correlation. A response surface methodology is developed to examine the stability of the derived linear functions, where one wishes to investigate how much the coefficients can change and still be in an e-neighborhood of the globally optimum canonical correlation value. In addition, a discrete (or constrained) canonical correlation method is formulated where the derived coefficients of these linear functions are constrained to be in some small set, e.g., {1, 0, -1}, to aid in the interpretation of the results. An example concerning the psychographic responses of Wharton MBA students of the University of Pennsylvania regarding driving preferences and life-style considerations is provided
  • Access State: Open Access