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Standard errors for rotated factor loadings


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  • Claude Archer
  • Robert Jennrich
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 38 (1973)
    Issue (Month): 4 (December)
    Pages: 581-592

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    Handle: RePEc:spr:psycho:v:38:y:1973:i:4:p:581-592

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    Cited by:
    1. 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.
    2. Claude Archer & Robert Jennrich, 1976. "A look, by simulation, at the validity of some asymptotic distribution results for rotated loadings," Psychometrika, Springer, vol. 41(4), pages 537-541, December.
    3. Haruhiko Ogasawara, 2004. "Asymptotic biases in exploratory factor analysis and structural equation modeling," Psychometrika, Springer, vol. 69(2), pages 235-256, June.
    4. Haruhiko Ogasawara, 2000. "Some relationships between factors and components," Psychometrika, Springer, vol. 65(2), pages 167-185, June.
    5. Robert Boik, 2008. "Newton Algorithms for Analytic Rotation: an Implicit Function Approach," Psychometrika, Springer, vol. 73(2), pages 231-259, June.
    6. Karl J├Âreskog, 1978. "Structural analysis of covariance and correlation matrices," Psychometrika, Springer, vol. 43(4), pages 443-477, December.
    7. Boik, Robert J., 2008. "An implicit function approach to constrained optimization with applications to asymptotic expansions," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 465-489, March.
    8. Haruhiko Ogasawara, 2003. "Oblique factors and components with independent clusters," Psychometrika, Springer, vol. 68(2), pages 299-321, June.
    9. Haruhiko Ogasawara, 2002. "Concise formulas for the standard errors of component loading estimates," Psychometrika, Springer, vol. 67(2), pages 289-297, June.
    10. Gilbert, Paul D. & Meijer, Erik, 2005. "Time Series Factor Analysis with an Application to Measuring Money," Research Report 05F10, University of Groningen, Research Institute SOM (Systems, Organisations and Management).


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