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Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators

Author

Listed:
  • BARRY V. BYE

    (Social Security Administration)

  • SALVATORE J. GALLICCHIO

    (Social Security Administration)

  • JANICE M. DYKACZ

    (Social Security Administration)

Abstract

A MIMIC model is developed that contains a one-dimensional latent variable measured by ordinal indicators. The latent variable can be either discrete and ordered or continuous. Parameters for both the measurement and structural components of the model are estimated simultaneously using the EM algorithm. An example of a sociological application is presented.

Suggested Citation

  • Barry V. Bye & Salvatore J. Gallicchio & Janice M. Dykacz, 1985. "Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators," Sociological Methods & Research, , vol. 13(4), pages 487-509, May.
    • Handle: RePEc:sae:somere:v:13:y:1985:i:4:p:487-509
    DOI: 10.1177/0049124185013004003
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    References listed on IDEAS

    as
    1. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    2. Bengt Muthén & Anders Christoffersson, 1981. "Simultaneous factor analysis of dichotomous variables in several groups," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 407-419, December.
    3. Lee, Lung-Fei, 1982. "Health and Wage: A Simultaneous Equation Model with Multiple Discrete Indicators," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 199-221, February.
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