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Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait-multimethod models

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  • David Grayson
  • Herbert Marsh

Abstract

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Suggested Citation

  • David Grayson & Herbert Marsh, 1994. "Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait-multimethod models," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 121-134, March.
    • Handle: RePEc:spr:psycho:v:59:y:1994:i:1:p:121-134
    DOI: 10.1007/BF02294271
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    References listed on IDEAS

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    1. James Algina, 1980. "A note on identification in the oblique and orthogonal factor analysis models," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 393-396, September.
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    Cited by:

    1. Niels G. Waller, 2018. "Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 858-870, December.
    2. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    3. Henk Kiers & Yoshio Takane & Jos Berge, 1996. "The analysis of multitrait-multimethod matrices via constrained components analysis," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 601-628, December.
    4. Chen, Yunxiao & Li, Xiaoou & Zhang, Siliang, 2019. "Structured latent factor analysis for large-scale data: identifiability, estimability, and their implications," LSE Research Online Documents on Economics 101122, London School of Economics and Political Science, LSE Library.

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