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Influential observations in principal factor analysis

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Author Info
Yutaka Tanaka
Yoshimasa Odaka
Abstract

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File URL: http://hdl.handle.net/10.1007/BF02294630
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Publisher Info
Article provided by Springer in its journal Psychometrika.

Volume (Year): 54 (1989)
Issue (Month): 3 (September)
Pages: 475-485
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Handle: RePEc:spr:psycho:v:54:y:1989:i:3:p:475-485

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Related research
Keywords: influential observations; influence function; influence on the subspace spanned by eigenvectors; principal factor analysis; perturbation theory of eigenvalue problems;

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  1. Sik-Yum Lee & Nian-Sheng Tang, 2004. "Local influence analysis of nonlinear structural equation models," Psychometrika, Springer, vol. 69(4), pages 573-592, December. [Downloadable!] (restricted)
  2. Sik-Yum Lee & Liang Xu, 2003. "On local influence analysis of full information item factor models," Psychometrika, Springer, vol. 68(3), pages 339-360, September. [Downloadable!] (restricted)
  3. Sik-Yum Lee & S. Wang, 1996. "Sensitivity analysis of structural equation models," Psychometrika, Springer, vol. 61(1), pages 93-108, March. [Downloadable!] (restricted)
  4. Ke-Hai Yuan & Linda Marshall & Peter Bentler, 2002. "A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers," Psychometrika, Springer, vol. 67(1), pages 95-121, March. [Downloadable!] (restricted)
  5. W. Fung & C. Kwan, 1995. "Sensitivity analysis in factor analysis: Difference between using covariance and correlation matrices," Psychometrika, Springer, vol. 60(4), pages 607-614, December. [Downloadable!] (restricted)
  6. Mario Romanazzi, 1992. "Influence in canonical correlation analysis," Psychometrika, Springer, vol. 57(2), pages 237-259, June. [Downloadable!] (restricted)
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