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A Significance Test for One Parameter Isosensitivity Functions

Published online by Cambridge University Press:  01 January 2025

Vivian Gourevitch  and
Eugene Galanter
Vivian Gourevitch
Affiliation:
City College of New York
Eugene Galanter
Affiliation:
University of Washington
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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 same d′ function.

Information

Type
Original Paper
Information
Psychometrika , Volume 32 , Issue 1 , March 1967 , pp. 25 - 33
Copyright
Copyright © 1967 The Psychometric Society

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Footnotes

*

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.

References

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