Skip to main content
Log in

The polyserial correlation coefficient

  • Published:
Psychometrika Aims and scope Submit manuscript

Abstract

The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. The maximum likelihood estimator of the polyserial correlation is compared with a two-step estimator and with a computationally convenient ad hoc estimator. All three estimators perform reasonably well in a Monte Carlo simulation. Some practical applications of the polyserial correlation are described.

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

Access this article

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 notes

  • Nerlove, M. & Press, S. J. Univariate and multivariate log-linear and logistic models. Santa Monica, The Rand Corporation, R: 1306-EDA/NIH, 1973.

    Google Scholar 

  • Gruvaeus, G. T. & Jöreskog, K. G.A computer program for minimizing a function of several variables (E.T.S. Res. Bull. RB70-14). Princeton, NJ: Educational Testing Service, 1970.

    Google Scholar 

References

  • Cox, N. R. Estimation of the correlation between a continuous and a discrete variable.Biometrics, 1974,30, 171–178.

    Google Scholar 

  • Finney, D. J.Probit analysis. Cambridge: Cambridge University Press, 1971.

    Google Scholar 

  • IMSL Library 1 (Ed. 5). Houston, Texas: International Mathematical and Statistical Libraries, 1975.

  • Jaspen, N. Serial correlation.Psychometrika, 1946,11, 23–30.

    Google Scholar 

  • Jöreskog, K. G., & Sörbom, D.Lisrel V user's guide. Chicago: National Educational Resources, 1981.

    Google Scholar 

  • Lancaster, H. O., & Hamdan, M. A. Estimation of the correlation coefficient in contingency tables with possibly nonmetrical characters.Psychometrika, 1964,29, 383–391.

    Google Scholar 

  • Lazarsfeld, P. F.Latent structure analysis. In S. Koch (Ed.),Psychology: A study of a science, Vol. 3. New York: McGraw-Hill, 1959.

    Google Scholar 

  • Lord, F. M., & Novick, M. R.Statistical theories of mental test scores. Reading, Mass: Addison-Wesley, 1968.

    Google Scholar 

  • Martinson, E. O., & Hamdan, M. A. Maximum likelihood and some other asymptotically efficient estimators of correlation in two way contingency tables.Journal of Statistical Computation and Simulation, 1971,1, 45–54.

    Google Scholar 

  • Mosteller, E. Nonsampling errors. In W. H. Kruskal & J. M. Tanur (Eds):International encyclopedia of statistics. New York: The Free Press, 1978.

    Google Scholar 

  • NAG Fortran Library Manual, Mark 7, Oxford, NAG Ltd, 1979.

  • Olsson, U. Maximum likelihood estimation of the polychoric correlation coefficient.Psychometrika, 1979,44, 443–460.

    Google Scholar 

  • Pearson, K. On a new method for determining the correlation between a measured character A and a character B.Biometrika, 1909,7, 96.

    Google Scholar 

  • Pearson, K. On the measurement of the influence of “broad categories” on correlation.Biometrika, 1913,9, 116–139.

    Google Scholar 

  • Silvey, S. D.Statistical inference. Harmondsworth: Penguin, 1970.

    Google Scholar 

  • Tallis, G. The maximum likelihood estimation of correlation from contingency tables.Biometrics, 1962,18, 342–353.

    Google Scholar 

  • Tate, R. F. The theory of correlation between two continuous variables when one is dichotomized.Biometrika, 1955,42, 205–216.(a)

    Google Scholar 

  • Tate, R. F. Applications of correlation models for biserial data.Journal of the American Statistical Association, 1955,50, 1078–1095.(b)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

By coincidence, the first author and the second and third authors learned that they were working independently on closely related problems and, consequently, decided to write a jointly authored paper.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Olsson, U., Drasgow, F. & Dorans, N.J. The polyserial correlation coefficient. Psychometrika 47, 337–347 (1982). https://doi.org/10.1007/BF02294164

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02294164

Key words

Navigation