The influence of complex working memory span task administration methods on prediction of higher level cognition and metacognitive control of response times
DAVID P. MCCABE
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Colorado State University
, Fort Collins,
Colorado
Participants between the ages of 18 and 80 were tested on a complex working memory span task that was administered either using a typical experimenter-paced method or using a method in which the processing component was presented at a fixed, limited-pace presentation rate. Path analyses revealed that even after controlling for individual differences in general processing speed, the limited-pace task predicted unique variance in episodic memory, executive functioning, and fluid intelligence, whereas the experimenter-paced task did not. For the experimenter-paced task, slower responses on the processing component of the task were associated with better recall, but only when individual differences in processing speed were controlled. These findings suggest that metacognitive control of response times affects recall from working memory span tasks, as well as the relationship between span task recall and high-level cognition. These results support resource-sharing explanations of working memory and suggest that limiting processing times using computer pacing of complex span tasks can be an effective way to efficiently measure working memory capacity.
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The concept of working memory (WM) has become
central to understanding complex cognition. Although
researchers debate the specific details of models of WM, it
can generally be defined as the cognitive system
responsible for maintaining information or task goals in an
active state over brief periods of time. Part of the reason
for the success of WM as a model of short-term cognitive
processing is that individual differences in the ability to
maintain and manipulate information in WM, referred
to as working memory capacity (WMC; Engle, Tuholski,
Laughlin, & Conway, 1999), have been linked to various
measures of higher level cognition, including reading
comprehension (Daneman & Carpenter, 1980;
TurleyAmes & Whitfield, 2003), episodic memory (McCabe &
Smith, 2002; Oberauer, 2005; Park et al., 2002), executive
function (Miyake, Friedman, Rettinger, Shah, & Hegarty,
2001), and general fluid intelligence (Engle et al., 1999;
Kyllonen & Christal, 1990).
Research on individual differences in WMC has
primarily been based on examination of the relationship between
performance on complex span tasks (e.g., reading span)
and measures of higher level cognition. These complex
span tasks typically require participants to encode and
maintain several to-be-remembered items while
completing some interpolated processing task, such as reading or
arithmetic, that is intended to disrupt that maintenance.
The participants are further required to recall the
to-beremembered items in serial order. Complex span tasks can
be contrasted with simple span tasks, which only require
the maintenance and retrieval of to-be-remembered items
in serial order. Recall is poorer for complex span tasks than
for simple span tasks, and complex span tasks typically
show stronger correlations with higher level cognition
(e.g., Ackerman, Beier, & Boyle, 2005; but see Unsworth
& Engle, 2007, for a detailed discussion of the similarities
between simple and complex span tasks). Consequently,
complex span tasks have become popular tools in the
investigation of individual differences in many areas of
psychology (see Engle & Kane, 2004, for a review).
Some models of WM suggest that the reason that
complex span tasks are more strongly related to complex
cognition than are simple span tasks is that the former are
more likely than the latter to engage the central executive
component of WM (Baddeley, 2000; Engle et al., 1999).
Indeed, individual differences in WMC have often been
conceptualized as the efficiency of the central executive
component of the WM system (Engle et al., 1999;
McCabe, Roediger, McDaniel, Balota, & Hambrick, 2010),
and this is the definition of WM capacity used in the
present study. Of course, complex span tasks engage other
abilities in addition to executive control processes. For
example, Engles model of WMC (see Engle et al., 1999)
indicates that task-specific strategies related to grouping
or maintenance strategies, which are unrelated to
attentional control (e.g., phonological rehearsal), are distinct
from central executive functioning but may influence
recall from span tasks.
Methods of Administering Complex Span Tasks
Complex span tasks are typically administered
individually, and the experimenter influences the speed with
which the processing component is completed (Conway
et al., 2005). For example, in the reading span task,
participants are typically asked to read sentences aloud (e.g.,
There are 7 days in every week), decide whether a
sentence makes sense, and then remember the final word in
the sentence (Daneman & Carpenter, 1980). Immediately
after the participants have made their decision for a given
sentence, the experimenter advances the screen to reveal
the next sentence. Trials typically range in length between
two and five sentences, and the participants are asked to
complete the processing component of the task as quickly
as possible while maintaining accuracy. Although the
experimenter has some influence on the speed at which
the processing component of the task is completed, by
controlling when the screen advances, the participants are
able to complete the processing tasks at their own pace.
Thus, the participants have some control over the amount
of time spent on the processing tasks. Previous research
indicates that participants often take additional time to
rehearse or refresh the to-be-remembered items during
complex span task performance (Engle, Cantor, & Carullo,
1992; St. Clair-Thompson, 2007). Because the dependent
measure for a span task is recall performance, considering
the factors that influence recall performance is crucial to
accurately estimating and understanding the WMC
construct and its relation to higher level cognition.
I will refer to the traditional administration method
used for complex span tasks as experimenter-paced,
because the experimenter controls when the screen advances
to reveal the to-be-remembered item (cf. Friedman &
Miyake, 2004; St. Clair-Thompson, 2007). This method
can be contrasted with two other methods: a self-paced
administration method, in which the participants
completely control advancement of the screen following each
processing item (e.g., by pressing the space bar when they
have completed each processing item; Friedman &
Miyake, 2004; Waters & Caplan, 1996), and a limited-pace
administration method, in which the amount of time
available for processing during the task is restricted in an
effort to reduce the amount of processing and maintenance
that the participants can engage in (Lpine, Barrouillet, &
Camos, 2005; Oberauer, S, Schulze, Wilhelm, &
Wittmann, 2000).
Two primary issues were addressed in the present study,
both associated with the administration method of
complex WM span tasks. The first issue of int (...truncated)