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12 - Measuring Individual Differences in Working Memory Capacity and Attention Control and Their Contribution to Language Comprehension

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Abstract

In this chapter, we discuss the measurement of working memory capacity and attention control. We begin by examining the origins of complex span measures of working memory capacity, which were created to better understand the cognitive processes underpinning language comprehension. We then review evidence for the executive attention theory of working memory, which places attention control at the center of individual differences in working memory capacity and fluid intelligence. Next, we describe the relationship between working memory capacity, attention control, and language comprehension, and discuss how maintenance and disengagement – two functions supported by the control of attention – contribute to performance across a range of cognitive tasks. We then identify factors that threaten the construct and criterion validity of measures of working memory capacity and attention control and detail the steps our laboratory has taken to refine these measures. We close by providing practical recommendations and resources to researchers who wish to use our new measures of working memory capacity and attention control in their work.

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... Two theoretical frameworks are gaining increasing prominence in this line of inquiry, namely the embedded-processes model by Cowan [9] and the executive control or attentional control paradigm touted by Engle [56,57]. Though controversies and debates still linger over the sources of such inherent variations [1] and constituent sub-processes, executive WM conceived this way (i.e., EWM in [20]) is generally operationalized and measured by more cognitively demanding dual-processing (e.g., storage plus manipulation) span tasks in both the psychological and language sciences [58,59], including bilingualism/SLA research [60,61]. ...
... Moreover, as the theoretical models of WM evolve, WM measurement procedures are also evolving [61]. As such, the integrated account of WM and language/SLA has also identified and regrouped the array of WM span tasks currently available from cognitive psychology and neuroscience (e.g., [58,59]). Specifically, the P/E model [20] has stipulated that the simple (storage-only) versions of memory span tasks (e.g., digit span, nonword repetition span) are approximating phonological WM, while the complex (storage-plusprocessing) versions of memory span tasks serve as a proxy for executive WM. ...
... Despite its predominant reliance on cognitive WM models and span tasks in previous language and bilingualism/SLA research, the emotional or affective component of WM (AWM) has also received attention in general psychology, which has gradually made its forays into bilingualism research in recent years (e.g., [17]). In line with this new trend, we may also need to acknowledge and consider the potential interactions between cognition and emotion implicated in these traditional cognitive WM models and WM span tasks [58,59]. ...
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Although emotional or affective working memory (WM) is quite well established in general psychology, not much research has looked into its potential implications for the language sciences and bilingualism and second language acquisition (SLA) research until recently. To fill this gap, this paper aims to propose that WM has not just cognitive implications, but its affective dimension may also make complementary and unique contributions to language and bilingualism/SLA research. Towards this end, we first briefly synthesize the cognitive views of WM conceptions and assessment procedures in the current language sciences and bilingualism/SLA research. Next, we turn to discuss the theoretical models and assumptions of affective WM and explore their theoretical implications for bilingualism/SLA research based on emerging empirical evidence. Then, we propose a conceptual framework integrating cognitive and affective WM perspectives and further provide guidelines for designing affective WM span tasks that can be used in future affective WM–language research, focusing on the construction procedures of several emotion-based affective WM span tasks (e.g., the emotional reading span task, the emotional operation span task, and the emotional symmetry span task) as examples. Overall, we argue that affective feelings are also an integral part of the mental representations held in WM and future research in the language sciences and bilingualism/SLA should incorporate both cognitive and affective WM dimensions.
... A reader needs to direct and maintain attention to the text, allocate attentional resources to the mechanics of reading (oculomotor control, decoding, word recognition, etc.), as well as to higher-level processes such as retaining pertinent textual information active in memory to form mental representations of the content (Martin et al., 2020;Shin, 2020). These representations are then subject to constant updating from further incoming input, as the reader gathers new pieces of information from subsequent parts of the text and engages in an ongoing integration process (Burgoyne et al., 2022). Indeed, a strong correlation between WM and reading comprehension has consistently shown that better WM predicts better comprehension (Butterfuss & Kendeou, 2018;Carretti et al., 2009;Daneman & Carpenter, 1980;Turner & Engle, 1989). ...
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Argues that the semantic structure of texts can be described both at the local microlevel and at a more global macrolevel. A model for text comprehension based on this notion accounts for the formation of a coherent semantic text base in terms of a cyclical process constrained by limitations of working memory. Furthermore, the model includes macro-operators, whose purpose is to reduce the information in a text base to its gist—the theoretical macrostructure. These operations are under the control of a schema, which is a theoretical formulation of the comprehender's goals. The macroprocesses are predictable only when the control schema can be made explicit. On the production side, the model is concerned with the generation of recall and summarization protocols. This process is partly reproductive and partly constructive, involving the inverse operation of the macro-operators. The model is applied to a paragraph from a psychological research report, and methods for the empirical testing of the model are developed. (55 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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In 3 experiments, the nature of the events that interfere with spatial working memory was examined in order to clarify the roles of imagery, attention. and other processes in the short-term maintenance of location information. Looking and pointing at secondary task stimuli selectively interfered with memory for the locations of primary task stimuli. Secondary tasks that involved either mentally rotating primary task stimuli or making color or shape discriminations about primary or secondary task stimuli interfered with spatial working memory only if the required response was visually guided, but not if the response was verbal. Taken together, these findings support P. S. Goldman-Rakic's (1987) hypothesis regarding multiple representational domains and are consistent with known properties and connections of neurons believed to subserve the perception and maintenance of spatial information. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Why do some individuals learn more quickly than others, or perform better in complex cognitive tasks? In this article, we describe how differential and experimental research methods can be used to study intelligence in humans and non-human animals. More than one hundred years ago, Spearman (1904) discovered a general factor underpinning performance across cognitive domains in humans. Shortly thereafter, Thorndike (1935) discovered positive correlations between cognitive performance measures in the albino rat. Today, research continues to shed light on the underpinnings of the positive manifold observed among ability measures. In this review, we focus on the relationship between cognitive performance and attention control: the domain-general ability to maintain focus on task-relevant information while preventing attentional capture by task-irrelevant thoughts and events. Recent work from our laboratory has revealed that individual differences in attention control can largely explain the positive associations between broad cognitive abilities such as working memory capacity and fluid intelligence. In research on mice, attention control has been closely linked to a general ability factor reflecting route learning and problem solving. Taken together, both lines of research suggest that individual differences in attention control underpin performance in a variety of complex cognitive tasks, helping to explain why measures of cognitive ability correlate positively. Efforts to find confirmatory and dis-confirmatory evidence across species stands to improve not only our understanding of attention control, but cognition in general.
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This paper is an attempt to provide a brief guide to major conceptual and statistical problems that are unique to the study of individual differences in intelligence and various intellectual abilities, in the context of laboratory experimental studies, and to suggest strategies to successfully navigate these problems. Such studies are generally designed so that the goal is to evaluate the relationships between individual differences in basic task performance or related markers on the one hand, and individual differences in intellectual abilities on the other hand. Issues discussed in this paper include: restriction-of-range in talent, method variance and facet theory; speed vs. power; regression to the mean; extreme-groups designs; difference scores; differences in correlations; significant vs. meaningful correlations; factor- pure tests; and criterion variables. A list of representative “do” and “don't” recommendations is provided to help guide the design and evaluation of laboratory studies.
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The construct of response control or response inhibition is one of the cornerstones of modern cognitive psychology, featuring prominently in theories of executive functioning and impulsive behaviour. However, repeated failures to observe correlations between commonly applied tasks have led some theorists to question whether common or overlapping response conflict processes even exist. A challenge to answering this question is that behaviour is multifaceted, with both conflict and non-conflict processes (e.g. strategy, processing speed) contributing to individual differences. Here, we use a cognitive model to dissociate these processes; the diffusion model for conflict tasks (Ulrich et al., 2015). In a meta-analysis of fits to 7 empirical datasets, we observed weak (rho<.05) correlations between tasks in parameters reflecting conflict processing, seemingly challenging a general control construct. However, we saw consistent positive correlations in parameters representing processing speed and strategy. We then use model simulations to evaluate whether correlations in behavioural costs are diagnostic of the presence or absence of common mechanisms of conflict processing. We compare correlations in simulated behaviour in scenarios where we impose correlations in conflict parameters to scenarios in which only non-conflict parameters are correlated. We find that correlations in behaviour are neither necessary nor sufficient evidence for correlations in conflict parameters. Our data provide converging evidence to claims that non-conflict processes contribute substantially to individual differences in conflict tasks and illustrate that correlations between conflict tasks are only weakly informative about common conflict mechanisms.
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It is well established that measures of reasoning ability and of working memory capacity (WMC) correlate positively. However, the question of what explains this relationship remains open. The purpose of this study was to investigate the capacity hypothesis, which ascribes causality to WMC. This hypothesis holds that people high in WMC are more successful in capacity-demanding cognitive tasks than people lower in WMC because they can temporarily maintain more information in the form of sub-goals, hypotheses, and partial solutions. Accordingly, this hypothesis predicts that the correlation between WMC and reasoning performance should increase as the capacity demands of the reasoning items increase. We tested this prediction using items from Raven’s Progressive Matrices and two measures of WMC, complex span and the k estimate from the Visual Arrays task. Neither WMC measure showed the effect predicted by the capacity hypothesis. Furthermore, the results cannot be attributed to restriction of range in performance on the individual reasoning items. This finding adds to existing evidence calling into question the capacity hypothesis, and, more generally, the view that WMC has a causal influence on fluid intelligence.
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This publication is the opening number of a series which the Psychometric Society proposes to issue. It reports the first large experimental inquiry, carried out by the methods of factor analysis described by Thurstone in The Vectors of the Mind 1. The work was made possible by financial grants from the Social Science Research Committee of the University of Chicago, the American Council of Education, and the Carnegie Corporation of New York. The results are eminently worthy of the assistance so generously accorded. Thurstone’s previous theoretical account, lucid and comprehensive as it is, is intelligible only to those who have a knowledge of matrix algebra. Hence his methods have become known to British educationists chiefly from the monograph published by W. P. Alexander8. This enquiry has provoked a good deal of criticism, particularly from Professor Spearman’s school ; and differs, as a matter of fact, from Thurstone’s later expositions. Hence it is of the greatest value to have a full and simple illustration of his methods, based on a concrete inquiry, from Professor Thurstone himself.
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It is generally agreed upon that the mechanisms underlying task switching heavily depend on working memory, yet numerous studies have failed to show a strong relationship between working memory capacity (WMC) and task-switching ability. We argue that this relationship does indeed exist but that the dependent variable used to measure task switching is problematic. To support our claim, we reanalyzed data from two studies with a new scoring procedure that combines reaction time (RT) and accuracy into a single score. The reanalysis revealed a strong relationship between task switching and WMC that was not present when RT-based switch costs were used as the dependent variable. We discuss the theoretical implications of this finding along with the potential uses and limitations of the scoring procedure we used. More broadly, we emphasize the importance of using measures that incorporate speed and accuracy in other areas of research, particularly in comparisons of subjects differing in cognitive and developmental levels.
Chapter
This chapter presents a collection of theoretical and empirical arguments against the separation of testing from a theory of cognition. It describes a general model of cognition and presents some of its implications for individual differences. The chapter presents a number of experiments, which relate the model to the present tests of intelligence and considers the implications of these results for both psychometrics and cognitive psychology, indicating some directions for future research. The theoretical model used is the Distributed Memory model, which is representative of a class of models acceptable to the majority of experimental psychologists interested in cognition. The theoretical approach underlying the distributed memory model is that the brain can be thought of as a computing system, and that as such it has a physical and implied logical construction which is called its system architecture. The physical structures comprising the system architecture are exercised by control processes analogous to programs in an actual computer.
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The current state of A.D. Baddeley and G.J. Hitch's (1974) multicomponent working memory model is reviewed. The phonological and visuospatial subsystems have been extensively investigated, leading both to challenges over interpretation of individual phenomena and to more detailed attempts to model the processes underlying the subsystems. Analysis of the controlling central executive has proved more challenging, leading to a proposed clarification in which the executive is assumed to be a limited capacity attentional system, aided by a newly postulated fourth system, the episodic buffer. Current interest focuses most strongly on the link between working memory and long-term memory and on the processes allowing the integration of information from the component subsystems. The model has proved valuable in accounting for data from a wide range of participant groups under a rich array of task conditions. Working memory does still appear to be working.
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The extent to which individual differences in working memory capacity were related to differences in comprehension and following direction was studied in first, third, and sixth graders. Working memory was tested by a simple word span and Daneman and Carpenter’s (1980) reading span. A reading comprehension test and a following directions test, including directions heard in a classroom, were also given. The number of words recalled in both the word span and the reading span predicted comprehension for all grades. This relationship showed no age differences. However, the relationship between the span measures and following directions indicated that the role of working memory in following directions may increase with age. As the complexity of directions increased, low-span subjects in each grade had more difficulty performing directions than high-span subjects did. Implications for giving directions to school children are discussed.
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The question of what underlies individual differences in general intelligence has never been satisfactorily answered. The purpose of this research was to investigate the role of an executive function that we term placekeeping ability—the ability to perform the steps of a complex task in a prescribed order without skipping or repeating steps. Participants completed a newly developed test of placekeeping ability, called the UNRAVEL task. The measure of placekeeping ability from this task (error rate) predicted a measure of fluid intelligence (Raven’s Advanced Progressive Matrices score), above and beyond measures of working memory capacity, task switching, and multitasking. An existing model of Raven’s performance suggests that placekeeping ability supports the systematic exploration of hypotheses under problem-solving conditions.
Article
The complex span measure of working memory is a word/digit span measured while performing a secondary task. Two experiments investigated whether correlations between the complex span and reading comprehension depend on the nature of the secondary task and individual skill in that task. The secondary task did not have to be reading related for the span to predict reading comprehension. An arithmetic-related secondary task led to correlations with reading comprehension similar to those found when the secondary task was reading. The relationship remained significant when quantitative skills were factored out of the complex span/comprehension correlations. Simple digit and word spans (measured without a background task) did not correlate with reading comprehension and SAT scores. The second experiment showed that the complex span/comprehension correlations were a function of the difficulty of the background task. When the difficulty level of the reading-related or arithmetic-related background tasks was moderate, the span/comprehension correlations were higher in magnitude than when the background tasks were very simple, or, were very difficult.
Article
The term working memory refers to a brain system that provides temporary storage and manipulation of the information necessary for such complex cognitive tasks as language comprehension, learning, and reasoning. This definition has evolved from the concept of a unitary short-term memory system. Working memory has been found to require the simultaneous storage and processing of information. It can be divided into the following three subcomponents: (i) the central executive, which is assumed to be an attentional-controlling system, is important in skills such as chess playing and is particularly susceptible to the effects of Alzheimer's disease; and two slave systems, namely (ii) the visuospatial sketch pad, which manipulates visual images and (iii) the phonological loop, which stores and rehearses speech-based information and is necessary for the acquisition of both native and second-language vocabulary.
Article
This paper presents a meta-analysis of the data from 6,179 participants in 77 studies that investigated the association between working-memory capacity and language comprehension ability. A primary goal of the meta-analysis was to compare the predictive power of the measures of working memory developed by Daneman and Carpenter (1980) with the predictive power of other measures of working memory. The results of the meta-analysis support Daneman and Carpenter's (1980) claim that measures that tap the combined processing and storage capacity of working memory (e.g., reading span, listening span) are better predictors of comprehension than are measures that tap only the storage capacity (e.g., word span, digit span). The meta-analysis also showed that math process plus storage measures of working memory are good predictors of comprehension. Thus, the superior predictive power of the process plus storage measures is not limited to measures that involve the manipulation of words and sentences.
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Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude of a correlation can be expected to be stable. The necessary sample size to achieve stable estimates for correlations depends on the effect size, the width of the corridor of stability (i.e., a corridor around the true value where deviations are tolerated), and the requested confidence that the trajectory does not leave this corridor any more. Results indicate that in typical scenarios the sample size should approach 250 for stable estimates.
Article
Working memory is a construct of primary relevance to many areas of psychology. Two types of tasks have been used to measure working memory, primarily in different research areas: Complex span tasks are commonly used in behavioral studies in the cognitive and individual-differences literature, whereas n-back tasks have been used more frequently in cognitive neuroscience studies investigating the neural underpinnings of working memory. Despite both categories of tasks being labeled as "working memory" measures, previous empirical studies have provided mixed evidence regarding the shared amount of overlapping processes between complex span and n-back tasks. The present meta-analysis showed that the complex span and n-back tasks are weakly correlated, although significant heterogeneity across studies was observed. A follow-up analysis of unpublished data indicated that the sample composition affects the relationship between the complex span and n-back tasks, following the law of diminishing returns. Finally, a separate meta-analysis indicated that the simple span and n-back tasks are correlated to the same extent as are the complex span and n-back tasks. The present findings indicate that the complex span and n-back tasks cannot be used interchangeably as working memory measures in research applications.
Article
This study investigates the relationship between working memory and language in young children growing up in a multilingual environment. The aim is to explore whether mechanisms of short-term storage and cognitive control hold similar relations to emerging language skills and to investigate if potential links are mediated by related cognitive abilities. A sample of 119 Luxembourgish 6-year-olds completed several assessments of working memory (complex and simple span), native and foreign vocabulary, syntax, reading, rhyme awareness, and fluid intelligence. Results showed that short-term storage and cognitive control manifested differential links with developing language abilities: Whereas verbal short-term storage was specifically linked to vocabulary; cognitive control manifested unique and robust links with syntax and early reading development. The study suggests that in young children the working memory system is composed of separate but interacting components corresponding to short-term storage and cognitive control that can be distinguished by the roles they play in supporting language acquisition.
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Ages 11-17. 1 form. 26 (44) min. Manual, profile sheet. (See J. consult. Psychol., 1947, 11, 340.) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Twelve good readers and 12 poor readers, 10-y4-olds, were given memory span tests, and memory scanning tests, in both auditory and visual modalities. Their concept of a letter pattern was also tested. The major finding was that short-term memory (STM) function deteriorated over time in the poor reading group. When modality was switched the good readers showed a release from proactive inhibition (PI); the poor readers did not. Among good readers, memory scanning in the auditory modality occurred at about the same speed as memory scanning in the visual modality; among the poor readers, auditory speed gradually lagged relative to visual rates. Poor readers were more likely (than good readers) to lack the concept of a letter pattern. Stepwise regressions showed that different patterns of variables were assocated with different types of reading errors. Implicatios for model construction were discussed.