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Three-Mode Principal Component Analysis of Multivariate Longitudinal Organizational Data

Author

Listed:
  • PIETER M. KROONENBERG

    (University of Leiden)

  • CORNELIS J. LAMMERS

    (University of Leiden)

  • INEKE STOOP

    (Netherlands Bureau of Statistics)

Abstract

The exploratory role three-mode principal component analysis can play in analyzing multivariate longitudinal organizational data is outlined by an exposition of the technique itself, and by its application to organizational data from Dutch hospitals. Relationships with some other techniques for such data are indicated.

Suggested Citation

  • Pieter M. Kroonenberg & Cornelis J. Lammers & Ineke Stoop, 1985. "Three-Mode Principal Component Analysis of Multivariate Longitudinal Organizational Data," Sociological Methods & Research, , vol. 14(2), pages 99-136, November.
    • Handle: RePEc:sae:somere:v:14:y:1985:i:2:p:99-136
    DOI: 10.1177/0049124185014002001
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    References listed on IDEAS

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    1. Pieter Kroonenberg & Jan Leeuw, 1980. "Principal component analysis of three-mode data by means of alternating least squares algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 69-97, March.
    2. Bruce Bloxom, 1968. "A note on invariance in three-mode factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 33(3), pages 347-350, September.
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    4. Ivancevich, John M. & Matteson, Michael T., 1978. "Longitudinal organizational research in field settings," Journal of Business Research, Elsevier, vol. 6(3), pages 181-201, August.
    5. P. Bentler & Sik-Yum Lee, 1978. "Statistical aspects of a three-mode factor analysis model," Psychometrika, Springer;The Psychometric Society, vol. 43(3), pages 343-352, September.
    6. Ledyard Tucker & Samuel Messick, 1963. "An individual differences model for multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 28(4), pages 333-367, December.
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