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The degree of transfer/specificity is a fundamental property of perceptual learning. Many conclusions about the level and mechanisms of perceptual learning depend critically on the accuracy and precision of the estimated transfer/specificity index. Traditionally, the transfer index is derived from learning curves during initial learning and transfer measured with the staircase method. Recently, Zhao et al.(2017) developed and validated a Bayesian adaptive qCD method to measure the trial-by-trial time course of perceptual sensitivity change in dark adaptation. The method was also validated in perceptual learning in a 4-alternative forced-choice (4AFC) global motion direction task, where the qCD method characterized the time course of perceptual learning more accurately, precisely and efficiently than the 3-down/1-up staircase method. Here, we evaluated the qCD and staircase methods in assessing the transfer …