A Significance Test for One Parameter Isosensitivity Functions

1967250 citationsJournal Article

Authors

Vivian Gourevitch · City College of New York

Eugene Galanter · University of Washington

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.

Topics & Keywords

Sensory Analysis and Statistical Methods

Publication Details

Published in: Psychometrika

Volume 32, Issue 1, pp. 25-33

DOI: 10.1007/bf02289402

Field-Weighted Citation Impact: 10.31

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A Significance Test for One Parameter Isosensitivity Functions

Authors

Abstract

Topics & Keywords

Publication Details