Abstract
QUEST is a Bayesian adaptive psychometric testing method that allows an arbitrary number of stimulus dimensions, psychometric function parameters, and trial outcomes. It is a generalization and extension of the original QUEST procedure and incorporates many subsequent developments in the area of parametric adaptive testing. With a single procedure, it is possible to implement a wide variety of experimental designs, including conventional threshold measurement; measurement of psychometric function parameters, such as slope and lapse; estimation of the contrast sensitivity function; measurement of increment threshold functions; measurement of noise-masking functions; Thurstone scale estimation using pair comparisons; and categorical ratings on linear and circular stimulus dimensions. QUEST provides a general method to accelerate data collection in many areas of cognitive and perceptual science.
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CITATION STYLE
Watson, A. B. (2017). QUEST: A general multidimensional bayesian adaptive psychometric method. Journal of Vision, 17(3), 1–27. https://doi.org/10.1167/17.3.10
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