What does the WISC-III measure? Comments on the relationship between intelligence, working memory capacity, and information processing speed and efficiency.

1997 ◽  
Vol 12 (2) ◽  
pp. 110-116 ◽  
Author(s):  
John H. Kranzler
Keyword(s):  
Working Memory ◽  
Information Processing ◽  
Processing Speed ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Information Processing Speed ◽  
The Relationship

scholarly journals Predicting Academic Achievement with Cognitive Abilities: Cross-Sectional Study across School Education

2020 ◽  
Vol 10 (10) ◽  
pp. 158
Author(s):  
Tatiana Tikhomirova ◽  
Artem Malykh ◽  
Sergey Malykh
Keyword(s):  
Academic Achievement ◽  
Working Memory ◽  
Information Processing ◽  
Processing Speed ◽  
Cognitive Abilities ◽  
Fluid Intelligence ◽  
Number Sense ◽  
Information Processing Speed ◽  
Cross Sectional ◽  
The Relationship

The relationship between cognitive abilities and academic achievement across schooling from the first to the eleventh grade was analyzed. Information processing speed, visuospatial working memory, number sense, and fluid intelligence were considered predictors of general academic achievement, which was derived from grades in mathematics, language, and biology. This cross-sectional study involved 1560 pupils who were in grades 1–11 at general education schools and were aged from 6.8 to 19.1 years (50.4% were boys). Information processing speed, visuospatial working memory, and number sense were measured using the Choice Reaction Time, Corsi Block-Tapping, and Number Sense computerized tests, respectively. Fluid intelligence was measured using the paper-and-pencil version of the Standard Progressive Matrices test. Correlation analysis and structural equation modeling were carried out. It was shown that it is possible to describe the structure of the relationship between cognitive abilities and academic achievement for all levels of schooling with a single model. In this model, information processing speed is the key predictor of fluid intelligence, working memory, and number sense, which in turn contribute to individual differences in academic success. Additionally, the specificity of the relationship between individual indicators of cognitive abilities and academic achievement at each level of schooling was revealed.

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.

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

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.

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