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On Testing the Equality of Proportions in the Paired Case with Incomplete Data

Published online by Cambridge University Press:  01 January 2025

Gunnar Ekbohm
Gunnar Ekbohm*
Affiliation:
Swedish University of Agricultural Sciences
*
Request for reprints should be sent to Gunnar Ekbohm, Div. of Statistics, Swed. Univ. Agric. Sc., S-750 07 UPPSALA, Sweden.
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Abstract

The problem of testing two correlated proportions with incomplete data is considered by means of Monte Carlo simulations studies. A test proposed in this paper, which can be regarded as a generalization of McNemar’s test, is recommended in all cases with incomplete data and not too small samples.

Keywords

combination of independent testsMcNemar’s testMonte Carlo study
Type
Notes and Comments
Information
Psychometrika , Volume 47 , Issue 1 , March 1982 , pp. 115 - 118
Copyright
Copyright © 1982 The Psychometric Society

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References

Reference Note

Campbell, G. Testing equality of proportions with incomplete correlated data. Unpublished manuscript, Department of Statistics, Purdue University, undated.Google Scholar

References

Ekbohm, G. On comparing means in the paired case with incomplete data on both responses. Biometrika, 1976, 63, 299–304.CrossRefGoogle Scholar
Fisher, R. A. Statistical methods for research workers, 13th ed., London: Oliver and Boyd, 1958.Google Scholar
McNemar, Q. Note on the sampling error of difference between correlated proportions or percentages. Psychometrika, 1947, 12, 153–157.CrossRefGoogle ScholarPubMed