Hostname: page-component-5f745c7db-xx4dx Total loading time: 0 Render date: 2025-01-06T07:27:18.112Z Has data issue: true hasContentIssue false

Axiomatic Foundations of a Three-Set Guttman Simplex Model with Applicability to Longitudinal Data

Published online by Cambridge University Press:  01 January 2025

Linda M. Collins*
Affiliation:
Health Behavior Research Institute, University of Southern California
Norman Cliff
Affiliation:
University of Southern California
*
Requests for reprints should be sent to Linda M. Collins, Health Behavior Research Institute, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90033.

Abstract

In this paper the usual two-set Guttman simplex model is extended to three sets. The axiomatic foundations of this extention are presented. Two cases are discussed. In Case 1 there is a three-set joint order, while in Case 2 there is a two-set joint order consistent across all levels of the third set. Case 2 represents the first clear formulation of a longitudinal developmental scale. The model is discussed in terms of its most straightforward application, longitudinal developmental data, and in terms of other possible applications.

Type
Original Paper
Copyright
Copyright © 1985 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research was supported in part by NSF grant BNS 8108145.

References

Cliff, N. (1977). A theory of consistency of ordering generalizable to tailored testing. Psychometrika, 42, 372399.CrossRefGoogle Scholar
Collins, L. M. (1983). The longitudinal Guttman simplex: A new scaling model for longitudinal data, Los Angeles: University of Southern California.Google Scholar
Collins, L. M., & Cliff, N. (1983, June). Axioms underlying a longitudinal Guttman simplex model. Paper presented at the Annual Meetings of the Psychometric Society, Los Angeles, CA.Google Scholar
Collins, L. M., & Cliff, N. (1984, June). Consistency indices for a three set Guttman simple model. Paper presented at the Annual Meetings of the Psychometric Society, Santa Barbara, CA.Google Scholar
Coombs, C. H. (1964). A theory of data, New York: Wiley.Google Scholar
Coombs, C. H., Smith, J. E. K. (1973). On the detection of structure in attitudes and developmental processes. Psychological Review, 80, 337351.CrossRefGoogle Scholar
Ducamp, A., Falmagne, J. C. (1969). Composite measurement. Journal of Mathematical Psychology, 6, 359390.CrossRefGoogle Scholar
Guttman, L. (1941). The quantification of a class of attributes: A theory and method of scale construction. In Horst, P. (Eds.), The prediction of personal adjustment, New York: Social Science Research Council.Google Scholar
Guttman, L. (1950). The basis for scalogram analysis. In Stouffer, S. A., Guttman, L., Suchman, E. A., Lazardsfeld, P. F., Star, S. A., Claysen, J. A. (Eds.), Measurement and prediction, Princeton: Princeton University Press.Google Scholar