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A significance test for one parameter isosensitivity functions

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Abstract

A large-sample test for the significance of the difference between two detection data points is developed based upon the assumptions of a one-parameter signal detectability model. In essence, the null hypothesis tested is that two observed data points belong to the samed' function.

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Authors and Affiliations

  1. City College of New York, USA

    Vivian Gourevitch

  2. University of Washington, USA

    Eugene Galanter

Authors
  1. Vivian Gourevitch
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  2. Eugene Galanter
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Additional information

Portions of this research were supported by Contract DA-49-193-MD-2713 between the University of Washington and the U. S. Army Medical Research and Development Command.

Now at Teachers College, Columbia University.

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Gourevitch, V., Galanter, E. A significance test for one parameter isosensitivity functions. Psychometrika 32, 25–33 (1967). https://doi.org/10.1007/BF02289402

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  • DOI: https://doi.org/10.1007/BF02289402

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