Measuring and testing the agreement of matrices |
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Authors: | Michael J. Brusco Douglas Steinley |
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Affiliation: | 1.Department of Business Analytics, Information Systems, and Supply Chain, College of Business,Florida State University,Tallahassee,USA;2.University of Missouri,Columbia,USA |
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Abstract: | The problem of comparing the agreement of two n × n matrices has a variety of applications in experimental psychology. A well-known index of agreement is based on the sum of the element-wise products of the matrices. Although less familiar to many researchers, measures of agreement based on within-row and/or within-column gradients can also be useful. We provide a suite of MATLAB programs for computing agreement indices and performing matrix permutation tests of those indices. Programs for computing exact p-values are available for small matrices, whereas resampling programs for approximate p-values are provided for larger matrices. |
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