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A Sampled Randomization Test for Examining Single Cells of Behavioural Transition Matrices

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A Sampled Randomization test for analysing individual cells of behavioural transition matrices is described. The test is compared with two standard procedures by running all three on simulated data. The Randomization test proves roughly as efficient as the X2 test applied to a collapsed matrix; both are more powerful than a test proposed by SLATER & OLLASON (1972). The decisive advantage of the Randomization test lies in its ability to assess the interrelatedness of cell results within a matrix: expected values can be adjusted to show how any mechanism assumed to explain one cell result would affect the rest of the matrix.

Affiliations: 1: Max-Planck-Institut für Verhaltensphysiologie, D-8131 Seewiesen, W. Germany; 2: Department of Biology, University of Oregon, Eugene, Oregon, U.S.A.


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