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A Proposed Index of the Conformity of One Sociometric Measurement to Another

Published online by Cambridge University Press:  01 January 2025

Leo Katz
Affiliation:
Michigan State College and University of California at Berkeley
James H. Powell
Affiliation:
Michigan State College and University of California at Berkeley

Abstract

An index is proposed to measure the extent of agreement of the data of a sociometric test with another test made at an earlier time or on another test criterion. The index is used to define an index of concordance between the two tests. It is shown how the index may be used for either individuals or groups. Tests of the hypothesis that agreement is random are given for all cases and applied to an example.

Type
Original Paper
Copyright
© 1953 The 1953 The Psychometric Society

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Footnotes

*

Work done under the sponsorship of the Office of Naval Research.

References

Finney, D. J. The Fisher-Yates test of significance in 2 × 2 contingency tables. Biometrika, 1948, 35, 145156.Google Scholar
Katz, Leo. The test of the hypothesis of no association in the four-fold table in the light of the Neyman-Pearson theory. Statistical Research Laboratory, Michigan State College, RM-9, 1952.Google Scholar
Kendall, M. G. The advanced theory of statistics, London: Griffin & Co., 1947.Google Scholar