Quest: A Bayesian adaptive psychometric method |
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Authors: | Andrew B. Watson Denis G. Pelli |
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Affiliation: | 1. NASA Ames Research Center, Moffett Field, California 2. Department of Psychology, Stanford University, Jordan Hall, Building 420, 94305, Stanford, California 3. Institute for Sensory Research, Syracuse University, Syracuse, New York
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Abstract: | An adaptive psychometric procedure that places each trial at the current most probable Bayesian estimate of threshold is described. The procedure takes advantage of the common finding that the human psychometric function is invariant in form when expressed as a function of log intensity. The procedure is simple, fast, and efficient, and may be easily implemented on any computer. |
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