Skip to main content
Log in

Fitting one matrix to another under choice of a central dilation and a rigid motion

  • Published:
Psychometrika Aims and scope Submit manuscript

Abstract

A least squares method is presented for fitting a given matrixA to another given matrixB under choice of an unknown rotation, an unknown translation, and an unknown central dilation. The procedure may be useful to investigators who wish to compare results obtained with nonmetric scaling techniques across samples or who wish to compare such results with those obtained by conventional factor analytic techniques on the same sample.

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.

Similar content being viewed by others

References

  • Anderson, T. W.An introduction to multivariate statistical analysis. New York: Wiley, 1958.

    Google Scholar 

  • Bargmann, R. Review ofOn the unified factor theory of mind by Yrjö Ahmavaara.Psychometrika, 1960,25, 105–108.

    Google Scholar 

  • Carroll, R. M. A Monte Carlo comparison of nonmetric multidimensional scaling and factor analysis. Doctoral dissertation, The Ohio State University, 1969.

  • Cliff, N. Orthogonal rotation to congruence.Psychometrika, 1966,31, 33–42.

    Google Scholar 

  • Eckart, C. & Young, G. The approximation of one matrix by another of lower rank.Psychometrika, 1936,1, 211–218.

    Google Scholar 

  • Green, B. F. The orthogonal approximation of an oblique simple structure in factor analysis.Psychometrika, 1952,17, 429–440.

    Google Scholar 

  • Guttman, L. A general nonmetric technique for finding the smallest coordinate space for a configuration of points.Psychometrika, 1968,33, 469–506.

    Google Scholar 

  • Kruskal, J. B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis.Psychometrika, 1964a,29, 1–27.

    Google Scholar 

  • Kruskal, J. B. Nonmetric multidimensional scaling: A numerical method.Psychometrika, 1964b,29, 115–129.

    Google Scholar 

  • Lingoes, J. C. & Guttman, L. Nonmetric factor analysis: A rank reducing alternative to linear factor analysis.Multivariate Behavioral Research, 1967,2, 485–505.

    Google Scholar 

  • McGee, V. E. The multidimensional analysis of ‘elastic’ distances.The British Journal of Mathematical and Statistical Psychology, 1966,19, 181–196.

    Google Scholar 

  • Prien, E. P. & Liske, R. E. Assessments of higher-level personnel: III Rating criteria: A comparative analysis of supervisor ratings and incumbent self-ratings of job performance.Personnel Psychology, 1962,15, 187–194.

    Google Scholar 

  • Schönemann, P. H. On the formal matrix differentiation of traces and determinants. Research Memorandum No. 27, Chapel Hill: University of North Carolina Psychometric Laboratory, 1965.

    Google Scholar 

  • Schönemann, P. H. A generalized solution of the orthogonal Procrustes problem.Psychometrika, 1966,31, 1–10.

    Google Scholar 

  • Shepard, R. N. The analysis of proximities: Multidimensional scaling with an unknown distance function. I, II.Psychometrika, 1962,27, 125–139, 219–246.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Part of this work was done while the senior author held a visiting research fellowship at the Educational Testing Service, Princeton, New Jersey.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schönemann, P.H., Carroll, R.M. Fitting one matrix to another under choice of a central dilation and a rigid motion. Psychometrika 35, 245–255 (1970). https://doi.org/10.1007/BF02291266

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02291266

Keywords

Navigation