scholarly journals The relationship between working memory capacity and broad measures of cognitive ability in healthy adults and people with schizophrenia.

2013 ◽  
Vol 27 (2) ◽  
pp. 220-229 ◽  
Author(s):  
Melissa K. Johnson ◽  
Robert P. McMahon ◽  
Benjamin M. Robinson ◽  
Alexander N. Harvey ◽  
Britta Hahn ◽  
...  
Keyword(s):  
Working Memory ◽  
Cognitive Ability ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Healthy Adults ◽  
The Relationship

The visual arrays task…visual storage capacity or attention control?

2019 ◽  
Author(s):  
Jessie Martin ◽  
Jason S. Tsukahara ◽  
Christopher Draheim ◽  
Zach Shipstead ◽  
Cody Mashburn ◽  
...  
Keyword(s):  
Working Memory ◽  
Storage Capacity ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Data Sets ◽  
Independent Data ◽  
Visual Storage ◽  
Design Selection ◽  
The Relationship

**The uploaded manuscript is still in preparation** In this study, we tested the relationship between visual arrays tasks and working memory capacity and attention control. Specifically, we tested whether task design (selection or non-selection demands) impacted the relationship between visual arrays measures and constructs of working memory capacity and attention control. Using analyses from 4 independent data sets we showed that the degree to which visual arrays measures rely on selection influences the degree to which they reflect domain-general attention control.

scholarly journals Individual differences in working memory capacity are unrelated to the magnitudes of retrocue benefits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chaoxiong Ye ◽  
Qianru Xu ◽  
Xinyang Liu ◽  
Piia Astikainen ◽  
Yongjie Zhu ◽  
...  
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Significant Positive Correlation ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Capacity Measurement ◽  
Object Based ◽  
Feature Dimension ◽  
The Relationship ◽  
Internal Attention

AbstractPrevious studies have associated visual working memory (VWM) capacity with the use of internal attention. Retrocues, which direct internal attention to a particular object or feature dimension, can improve VWM performance (i.e., retrocue benefit, RCB). However, so far, no study has investigated the relationship between VWM capacity and the magnitudes of RCBs obtained from object-based and dimension-based retrocues. The present study explored individual differences in the magnitudes of object- and dimension-based RCBs and their relationships with VWM capacity. Participants completed a VWM capacity measurement, an object-based cue task, and a dimension-based cue task. We confirmed that both object- and dimension-based retrocues could improve VWM performance. We also found a significant positive correlation between the magnitudes of object- and dimension-based RCB indexes, suggesting a partly overlapping mechanism between the use of object- and dimension-based retrocues. However, our results provided no evidence for a correlation between VWM capacity and the magnitudes of the object- or dimension-based RCBs. Although inadequate attention control is usually assumed to be associated with VWM capacity, the results suggest that the internal attention mechanism for using retrocues in VWM retention is independent of VWM capacity.

scholarly journals Working memory as a factor mediating explicit and implicit knowledge of English grammar

2021 ◽  
pp. 1-8
Author(s):  
Mirosław Pawlak ◽  
Adriana Biedroń
Keyword(s):  
Working Memory ◽  
Short Term Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Target Language ◽  
Short Term ◽  
Passive Voice ◽  
English Grammar ◽  
Explicit And Implicit Knowledge ◽  
The Relationship

Abstract This paper reports the findings of a study that investigated the relationship between phonological short-term memory (PSTM), working memory capacity (WMC), and the level of mastery of L2 grammar. Grammatical mastery was operationalized as the ability to produce and comprehend English passive voice with reference to explicit and implicit (or highly automatized) knowledge. Correlational analysis showed that PSTM was related to implicit productive knowledge while WMC was linked to explicit productive knowledge. However, regression analysis showed that those relationships were weak and mediated by overall mastery of target language grammar, operationalized as final grades in a grammar course.

Understanding the Relationship Between Rationality and Intelligence: A Latent-Variable Approach

2021 ◽  
Author(s):  
Alexander P. Burgoyne ◽  
Cody Mashburn ◽  
Jason S. Tsukahara ◽  
Zach Hambrick ◽  
Randall W Engle
Keyword(s):  
Working Memory ◽  
Latent Variable ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Equation Modeling ◽  
General Intelligence ◽  
Variable Approach ◽  
The Relationship

A hallmark of intelligent behavior is rationality—the disposition and ability to think analytically to make decisions that maximize expected utility or follow the laws of probability, and therefore align with normative principles of decision making. However, the question remains as to whether rationality and intelligence are empirically distinct, as does the question of what cognitive mechanisms underlie individual differences in rationality. In a large sample of participants (N = 331), we used latent variable analyses to assess the relationship between rationality and intelligence. The results indicated that there was a common ability underpinning performance on some, but not all, rationality tests. Latent factors representing rationality and general intelligence were strongly correlated (r = .54), but their correlation fell well short of unity. Indeed, after accounting for variance in performance attributable to general intelligence, rationality measures still cohered on a latent factor. Confirmatory factor analysis indicated that rationality correlated significantly with fluid intelligence (r = .56), working memory capacity (r = .44), and attention control (r = .49). Structural equation modeling revealed that attention control fully accounted for the relationship between working memory capacity and rationality, and partially accounted for the relationship between fluid intelligence and rationality. Results are interpreted in light of the executive attention framework, which holds that attention control supports information maintenance and disengagement in service of complex cognition. We conclude by speculating about factors rationality tests may tap that other cognitive ability tests miss, and outline directions for further research.

scholarly journals The Relationship between Executive Functions and Language Production in 5–6-Year-Old Children: Insights from Working Memory and Storytelling

2020 ◽  
Vol 10 (2) ◽  
pp. 52
Author(s):  
Aleksander Veraksa ◽  
Daria Bukhalenkova ◽  
Natalia Kartushina ◽  
Ekaterina Oshchepkova
Keyword(s):  
Working Memory ◽  
Language Production ◽  
Working Memory Capacity ◽  
Narrative Structure ◽  
Verbal Working Memory ◽  
Memory Capacity ◽  
Story Retelling ◽  
Grammatical Accuracy ◽  
The Relationship ◽  
Global Indicators

This study examined the relationship between working memory capacity and narrative abilities in 5–6-year-old children. 269 children were assessed on their visual and verbal working memory and performed in a story retelling and a story creation (based on a single picture and on a series of pictures) tasks. The stories were evaluated on their macrostructure and microstructure. The results revealed a significant relationship between both components (verbal and visual) of working memory and the global indicators of a story’s macrostructure—such as semantic completeness, semantic adequacy, programming and narrative structure—and with the indicators of a story’s microstructure, such as grammatical accuracy and number of syntagmas. Yet, this relationship was systematically stronger for verbal working memory, as compared to visual working memory, suggesting that a well-developed verbal working memory leads to lexically and grammatically more accurate language production in preschool children.

scholarly journals Working memory capacity mediates the relationship between removal and fluid intelligence

2018 ◽  
Vol 101 ◽  
pp. 18-36 ◽  
Author(s):  
Krishneil A. Singh ◽  
Gilles E. Gignac ◽  
Christopher R. Brydges ◽  
Ullrich K.H. Ecker
Keyword(s):  
Working Memory ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
The Relationship

The relationship between working memory capacity and simultaneous interpreting performance

Interpreting ◽  
2016 ◽  
Vol 18 (1) ◽  
pp. 1-33 ◽  
Author(s):  
Jihong Wang
Keyword(s):  
Working Memory ◽  
Working Memory Capacity ◽  
Time Lag ◽  
Memory Capacity ◽  
Span Task ◽  
Complex Span ◽  
Simultaneous Interpreting ◽  
Signed Language ◽  
Native Signers ◽  
The Relationship

This experimental study investigated the relationship between signed language interpreters’ working memory capacity (WMC) and their simultaneous interpreting performance. Thirty-one professional Auslan (Australian Sign Language)/English interpreters participated: 14 native signers and 17 non-native signers. They completed simultaneous interpreting tasks from English into Auslan and vice versa, an English listening span task and an Auslan working memory span task; each interpreting task was followed by a short semi-structured interview. Quantitative results for the sample as a whole showed no significant correlations between bilingual WMC and overall simultaneous interpreting performance in either direction. The same trend was established for both the native signers and the non-native signers, considered as two separate groups. The findings thus suggest that professional signed language interpreters’ WMC as measured by complex span tasks is not closely associated with the overall quality of their simultaneous interpreting performance. Data regarding educational and professional background showed mixed patterns in relation to participants’ interpreting performance in each language direction. In the interviews, participants reported various triggers of cognitive overload in the simultaneous interpreting tasks (e.g. numbers, lists of items, a long time lag, dense information, fatigue) and mentioned their coping strategies (e.g. strategic omissions, summarization, generalization, adjusting time lag).

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