Stimulus Sampling Shapes Estimated Perceptual Geometry in Psychophysical Scaling
We used simulations and mathematical analysis to investigate how simultaneous estimation of transducer nonlinearity and perceptual geometry affects bias in maximum likelihood difference scaling (MLDS). Uniform sampling in the stimulus domain disproportionately sampled slowly varying regions and inadequately sampled rapidly varying regions of nonlinear transducers, leading to biased estimates of…
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