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• W2076680212 abstract "The notion that verbal short-term memory tasks, such as serial recall, make use of information in long-term as well as in short-term memory is instantiated in many models of these tasks. Such models incorporate a process in which degraded traces retrieved from a short-term store are reconstructed, or redintegrated (Schweickert, 1993), through the use of information in long-term memory. This article presents a conceptual and mathematical model of this process based on a class of item-response theory models. It is demonstrated that this model provides a better fit to three sets of data than does the multinomial processing tree model of redintegration (Schweickert, 1993) and that a number of conceptual accounts of serial recall can be related to the parameters of the model." @default.
• W2076680212 created "2016-06-24" @default.
• W2076680212 creator A5025796151 @default.
• W2076680212 creator A5070432874 @default.
• W2076680212 date "2008-04-01" @default.
• W2076680212 modified "2023-09-26" @default.
• W2076680212 title "A constrained Rasch model of trace redintegration in serial recall" @default.
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• W2076680212 doi "https://doi.org/10.3758/mc.36.3.578" @default.
• W2076680212 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18491497" @default.
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