, Volume 26, Issue 1, pp 215–217 | Cite as

A note on the multiple indicator-multiple cause model with several latent variables

  • B. Abraham
  • J. Ledolter


Jöreskog/Goldberger [1975] use a maximum likelihood procedure to estimate the parameters of a model in which one observes multiple indicators and multiple causes of a single latent variable. This note extends their analysis to cover the case of several latent variables.


Stochastic Process Latent Variable Probability Theory Economic Theory Multiple Indicator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Jöreskog, K.G.: A General Method for Analysis of Covariance Structures. Biometrika57, 1970, 231–251.Google Scholar
  2. Jöreskog, K.G., andA.S. Goldberger: Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable. Journal of the American Statistical Association70, 1975, 631–639.Google Scholar
  3. Lawley, D.N., andE.E. Maxwell: Factor Analysis as a Statistical Method. New York 1971.Google Scholar

Copyright information

© Physica-Verlag Rudolf Liebing KG 1979

Authors and Affiliations

  • B. Abraham
    • 1
  • J. Ledolter
    • 2
  1. 1.University of WaterlooWaterlooCanada
  2. 2.University of IowaIowa CityUSA

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