GLOBAL MATCHING MODELS OF RECOGNITION MEMORY - HOW THE MODELS MATCH THE DATA

We present a review of global matching models of recognition memory, d escribing their theoretical origins and fundamental assumptions, focus ing on two defining properties: (1) recognition is based solely on fam iliarity due to a match of test items to memory at a global level, and (2) multiple cues are combined interactively. We evaluate the models against relevant data bearing on issues including the representation o f associative information, differences in verbal and environmental con text effects, list-length, list-strength, and global similarity effect s, and ROC functions. Two main modifications to the models are discuss ed: one based on the representation of associative information, and th e other based on the addition of recall-like retrieval mechanisms.