In order to guide some aspects of the meta-analyses, three specific models of serial
recall were considered, each of which exemplified one of the general theories of serial order in
Chapter 1. The first was a closed-loop, compound chaining model, based on the Power Set
Model of Murdock (1995). Though Murdock did not specify the precise nature of the closedloop
chaining (i.e., whether or not errors are fed back as cues), such a closed-loop model has
been analysed independently by Henson (1994). The second model was a positional model
based on the Articulatory Loop Model of Burgess and Hitch (1992). This model uses a context
signal to cue each position, such that cues for nearby positions overlap in symmetrical manner
(Chapter 1; decay processes in this model were ignored for simplicity). The third model was
an ordinal model based on the Primacy Model of Page and Norris (1996b). This assumes a
primacy gradient of activations, invariant across positions (decay was again ignored).
In order to guide some aspects of the meta-analyses, three specific models of serial
recall were considered, each of which exemplified one of the general theories of serial order in
Chapter 1. The first was a closed-loop, compound chaining model, based on the Power Set
Model of Murdock (1995). Though Murdock did not specify the precise nature of the closedloop
chaining (i.e., whether or not errors are fed back as cues), such a closed-loop model has
been analysed independently by Henson (1994). The second model was a positional model
based on the Articulatory Loop Model of Burgess and Hitch (1992). This model uses a context
signal to cue each position, such that cues for nearby positions overlap in symmetrical manner
(Chapter 1; decay processes in this model were ignored for simplicity). The third model was
an ordinal model based on the Primacy Model of Page and Norris (1996b). This assumes a
primacy gradient of activations, invariant across positions (decay was again ignored).
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