, Volume 19, Issue 4, pp 271–279 | Cite as

An empirical comparison of restricted and general latent distance analysis

  • David G. Hays
  • Edgar F. Borgatta


Latent distance analysis provides a probability model for the non-perfect Guttman scale; the restricted latent distance structure is simpler to compute than the general structure. Since no sampling theory for latent structure analysis is available, the advantages of the general structure cannot be expressed formally. The two structures are compared in terms of their fit to fifteen sets of empirical data. The computation schemes used are summarized.


Structure Analysis Public Policy General Structure Empirical Data Probability Model 
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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    Borgatta, E. F. and Hays, D. G. Some limitations on the arbitrary classification of non-scale response patterns in a Guttman scale.Public Opinion Quarterly, 1952,16, 410–416.Google Scholar
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    Paper 3. Improved model for a latent distance scale. In: The use of mathematical models in the measurement of attitudes. (Prepared under the direction of Paul F. Lazarsfeld) Rand report, Part II. The Rand Corp., Santa Monica, Calif., March22, 1951.Google Scholar
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    Lazarsfeld, P. F. The logical and mathematical foundation of latent structure analysis analysis. The interpretation and computation of same latent structures. In: Measurement and prediction. Princeton University Press, 1950. Pp. 362–472.Google Scholar

Copyright information

© Psychometric Society 1954

Authors and Affiliations

  • David G. Hays
    • 1
  • Edgar F. Borgatta
    • 2
  1. 1.Laboratory of Social RelationsHarvard UniversityUSA
  2. 2.Russell Sage FoundationUSA

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