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Latent Variable Models of Dichotomous Data

Author

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  • RONALD SCHOENBERG

    (Aptech Systems)

  • GERHARD ARMINGER

    (Bergische Universität Wuppertal)

Abstract

This issue of Sociological Methods & Research contains four excellent illustrations of current methods for analyzing dichotomous data: dichotomous factor analysis (Muthén, 1989), latent trait analysis (Eaton et al., 1989), and grade of membership analysis (Woodbury and Manton, 1989). These methods are now sufficiently developed for use by researchers, though a lack of available software for the grade of membership model renders that method mostly theoretical. Of these methods the factor analysis model succeds in carrying out the tasks set by the editors with the fewest problems. Researchers would do well, however, to look over all the methods to find the best approach for their particular problem.

Suggested Citation

  • Ronald Schoenberg & Gerhard Arminger, 1989. "Latent Variable Models of Dichotomous Data," Sociological Methods & Research, , vol. 18(1), pages 164-182, August.
    • Handle: RePEc:sae:somere:v:18:y:1989:i:1:p:164-182
    DOI: 10.1177/0049124189018001006
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    References listed on IDEAS

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    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 & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, September.
    3. Yoshio Takane & Jan Leeuw, 1987. "On the relationship between item response theory and factor analysis of discretized variables," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 393-408, September.
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