Reject common measures like d' and Corrected Recognition, embrace d<sub>a</sub>: Simulation explorations of single- and multi-point recognition measures of sensitivity

In this article, we address the high prevalence of false discoveries in recognition memory research. Using Monte Carlo simulations, our goal was to find a valid measure of performance that reliably separates the contribution of sensitivity (accuracy) from that of bias. Relevant to myriad tasks, most