Ms. Lyulei Zhang
Dr. Adam Osth
Global matching is a key concept in many models of recognition memory which posits retrieval as a process of matching test probe against every stored memory representation to produce a measure of global similarity. However, to date many models have not adopted principled representations of words. While some memory models have advanced through adopting realistic semantic representations, little work has explored the consequence of integrating perceptual representation. A variety of orthographic representations of words has been proposed in the psycholinguistics literature to account for several orthographic similarity effects between word pairs, however, little contact has been made to recognition memory. The study aimed to firstly establish three key orthographic similarity effects in recognition memory, namely the replacement effect, exterior-letter effect and transposition effect, and secondly to compare four orthographic representations (i.e. slot-coding, closed-bigram, open-bigram, and the overlap model) in their ability to capture recognition memory data in a global matching framework. 162 participants completed a recognition memory study of words using unrelated lists where targets were paired with lures of different orthographic similarity types. Different orthographic representations were used to calculate a global similarity value for each test probe, which was then used to model recognition accuracy via Luce’s choice rule in a hierarchical Bayesian framework. Results showed clear replacement effect, adjacent and non-adjacent transposition effects and start-letter importance in recognition memory. Model selection results support the open-bigram coding being the best orthographic representation in recognition memory.