Testing global memory models using ROC curves.

作者: Roger Ratcliff , Ching-fan Sheu , Scott D. Gronlund

DOI: 10.1037/0033-295X.99.3.518

关键词:

摘要: Global memory models are evaluated by using data from recognition experiments. For recognition, each of the gives a value familiarity as output matching test item against memory. The experiments provide ROC (receiver operating characteristic) curves that give information about standard deviations values for old and new items in models. experimental results consistent with normal distributions (a prediction models). However, also show new-item deviation is 0.8 old-item independent strength (under assumption normality). inconsistent these because they predict either nearly equal or increasing strength. Thus, basis revision current development

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