Measuring and testing the agreement of matrices
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Updated: Feb 17, 2026

2D and 3D Matrices to Study Linear Invadosome Formation and Activity
Published on: June 2, 2017
Michael J Brusco1, Douglas Steinley2
1Department of Business Analytics, Information Systems, and Supply Chain, College of Business, Florida State University, 821 Academic Way, Tallahassee, FL, 32306-1110, USA. mbrusco@business.fsu.edu.
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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