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Application of the EM Method

Author

Listed:
  • RONALD SCHOENBERG

    (National Institute of Mental Health)

  • CAROL RICHTAND

    (National Institutes of Health)

Abstract

The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method.

Suggested Citation

  • Ronald Schoenberg & Carol Richtand, 1984. "Application of the EM Method," Sociological Methods & Research, , vol. 13(1), pages 127-150, August.
    • Handle: RePEc:sae:somere:v:13:y:1984:i:1:p:127-150
    DOI: 10.1177/0049124184013001006
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    References listed on IDEAS

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    1. Ronald Schoenberg, 1982. "Multiple Indicator Models," Sociological Methods & Research, , vol. 10(4), pages 421-433, May.
    2. P. Bentler & Jeffrey Tanaka, 1983. "Problems with EM algorithms for ML factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 247-251, June.
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    Cited by:

    1. Kenneth A. Bollen & Karl G. Jã–Reskog, 1985. "Uniqueness does not Imply Identification," Sociological Methods & Research, , vol. 14(2), pages 155-163, November.

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