Skip to main content
SpringerLink
Log in

A probability model for errors of classification. II. Particular cases

  • Published:
Psychometrika Aims and scope Submit manuscript

Abstract

General features of a probability model for errors of classification are recapitulated as an introduction to particular cases and applications. Several models for dichotomous and nondichotomous systems are examined in sufficient detail to elaborate a procedure for dealing with any particular case. The systemO =f(T,E) has empirical reference where, as statistic or parameter, probability of occasional subclass membership is given by observation, and one seeks to recoverT andE values fromO. A procedure for relating models and data is described. Applications of the concepts and methods are illustrated for several areas of psychological research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Borgatta, E. F. An error ratio for scalogram analysis.Publ. Opin. Quart., 1955,19, 96–100.

    Google Scholar 

  2. Green, B. F. Attitude measurement. In G. Lindzey (Ed.),Handbook of social psychology. Cambridge: Addison-Wesley, 1954.

    Google Scholar 

  3. Gulliksen, H.Theory of mental tests. New York: Wiley, 1950.

    Google Scholar 

  4. Kendall, M. G. and Stuart, A.The advanced theory of statistics. Vol. 2. London: Griffin, 1961.

    Google Scholar 

  5. Lazarsfeld, P. F. Latent structure analysis and test theory. In H. Gulliksen and S. Messick (Eds.),Psychological scaling. New York: Wiley, 1960.

    Google Scholar 

  6. Lord, F. M. A theory of test scores.Psychometric Monograph No. 7, 1952.

  7. Luce, R. D., Bush, R. R., and Galanter, E. (Eds.)Handbook of mathematical psychology. Vol. I. New York: Wiley, 1963.

    Google Scholar 

  8. Stouffer, S. A. (Ed.)Measurement and prediction. Princeton: Princeton Univ. Press, 1950.

    Google Scholar 

  9. Sutcliffe, J. P. A general method of analysis of frequency data for multiple classification designs.Psychol. Bull., 1957,54, 134–137.

    Google Scholar 

  10. Sutcliffe, J. P. Error of measurement and the sensitivity of a test of significance.Psychometrika, 1958,23, 9–17.

    Google Scholar 

  11. Sutcliffe, J. P. Some aspects of rank ordering and scaling with paired comparisons data.Austral. J. Psychol., 1964,16, 137–149.

    Google Scholar 

  12. Sutcliffe, J. P. A probability model for errors of classification. I. General considerations.Psychometrika, 1965,30, 73–96.

    Google Scholar 

  13. Thurstone, L. L.The measurement of values. Chicago: Univ. Chicago Press, 1959.

    Google Scholar 

  14. Torgerson, W. S.Theory and methods of scaling. New York: Wiley, 1958.

    Google Scholar 

  15. Tucker, L. R. Maximum validity of a test with equivalent items.Psychometrika, 1946,11, 1–13.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Sydney, Australia

    J. P. Sutcliffe

Authors
  1. J. P. Sutcliffe
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

With grateful acknowledgment to the Rockefeller Foundation; and to the United States Department of Health, Education, and Welfare, Public Health Service, for N. I. M. H. Grant M-3950.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sutcliffe, J.P. A probability model for errors of classification. II. Particular cases. Psychometrika 30, 129–155 (1965). https://doi.org/10.1007/BF02289444

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02289444

Keywords

Search

Navigation