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 concordancebetween 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.
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References
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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.
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Work done under the sponsorship of the Office of Naval Research.
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Katz, L., Powell, J.H. A proposed index of the conformity of one sociometric measurement to another. Psychometrika 18, 249–256 (1953). https://doi.org/10.1007/BF02289063
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DOI: https://doi.org/10.1007/BF02289063