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Application of the bootstrap methods in factor analysis

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Author Info
Masanori Ichikawa
Sadanori Konishi
Abstract

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File URL: http://hdl.handle.net/10.1007/BF02294430
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Publisher Info
Article provided by Springer in its journal Psychometrika.

Volume (Year): 60 (1995)
Issue (Month): 1 (March)
Pages: 77-93
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Handle: RePEc:spr:psycho:v:60:y:1995:i:1:p:77-93

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Related research
Keywords: factor analysis; bootstrap; maximum likelihood; likelihood ratio test statistic; confidence interval; Monte Carlo experiment;

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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.:
  1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer, vol. 23(3), pages 187-200, September. [Downloadable!] (restricted)
  2. Douglas Clarkson, 1979. "Estimating the standard errors of rotated factor loadings by jackknifing," Psychometrika, Springer, vol. 44(3), pages 297-314, September. [Downloadable!] (restricted)
  3. Robert Jennrich & Stephen Robinson, 1969. "A Newton-Raphson algorithm for maximum likelihood factor analysis," Psychometrika, Springer, vol. 34(1), pages 111-123, March. [Downloadable!] (restricted)
  4. Robert Jennrich & Dorothy Thayer, 1973. "A note on Lawley's formulas for standard errors in maximum likelihood factor analysis," Psychometrika, Springer, vol. 38(4), pages 571-580, December. [Downloadable!] (restricted)
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Cited by:
(explanations, 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.)

  1. Haruhiko Ogasawara, 2002. "Concise formulas for the standard errors of component loading estimates," Psychometrika, Springer, vol. 67(2), pages 289-297, June. [Downloadable!] (restricted)
  2. 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)
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