scholarly journals Parent-Teacher Concordance in Rating Preschooler Difficulties in Behavioural and Cognitive Functioning and Their Dyadic Predicting of Fluid Intelligence

2016 ◽  
Vol 47 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Anna Orylska ◽  
Aneta Brzezicka ◽  
Ewa Racicka-Pawlukiewicz ◽  
Rafał Albinski ◽  
Grzegorz Sedek
Keyword(s):  
Working Memory ◽  
Preschool Children ◽  
Cognitive Functioning ◽  
Fluid Intelligence ◽  
Clinical Diagnoses ◽  
Screening Study ◽  
Behaviour Rating ◽  
Using Data ◽  
Teachers And Parents ◽  
The Relationship

Abstract Objective: Present research examined children’s behavioural and cognitive functioning by using data from a screening study based on reports given by parents and teachers, and investigated the strongest predictors of children’s fluid intelligence. Method: Scales: Conners Early Childhood Behaviour Scale (CEC BEH [S]) and Behaviour Rating Inventory of Executive Function-Preschool (BRIEF-P) were filled out by parents and teachers of preschool children. Raven’s Coloured Progressive Matrices (CPM) was used to measure fluid intelligence among preschool children. Results: Parent-teacher concordance was low to moderate. Working memory in BRIEF-P estimated by teachers and parents mediated the relationship between inattention/hyperactivity in CEC BEH [S] and fluid intelligence among preschoolers. The difficulties with working memory assessed by teachers and parents were significant predictors of Raven scores; however, predictions based on teachers’ assessments were stronger. Conclusion: Clinicians should collect reports from various observers in order to implement prevention programs and optimize clinical diagnoses for children. Information from both parents and teachers give significant and complementary contribution to understanding difficulties with cognitive and behavioural functioning of preschoolers.

scholarly journals The Relationship Between Daily Rapid-Eye Movement Sleep and Cognitive Functioning in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 159-159
Author(s):  
Tiana Broen ◽  
Tomiko Yoneda ◽  
Jonathan Rush ◽  
Jamie Knight ◽  
Nathan Lewis ◽  
...  
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Cognitive Functioning ◽  
Eye Movement ◽  
Rem Sleep ◽  
Cognitive Tests ◽  
Rapid Eye Movement ◽  
Targeted Interventions ◽  
The Impact ◽  
The Relationship

Abstract Previous cross-sectional research suggests that age-related decreases in Rapid-Eye Movement (REM) sleep may contribute to poorer cognitive functioning (CF); however, few studies have examined the relationship at the intraindividual level by measuring habitual sleep over multiple days. Applying a 14-day daily diary design, the current study examines the dynamic relationship between REM sleep and CF in 69 healthy older adults (M age=70.8 years, SD=3.37; 73.9% female; 66.6% completed at least an undergraduate degree). A Fitbit device provided actigraphy indices of REM sleep (minutes and percentage of total sleep time), while CF was measured four times daily on a smartphone via ambulatory cognitive tests that captured processing speed and working memory. This research addressed the following questions: At the within-person level, are fluctuations in quantity of REM sleep associated with fluctuations in next day cognitive measures across days? Do individuals who spend more time in REM sleep on average, perform better on cognitive tests than adults who spend less time in REM sleep? A series of multilevel models were fit to examine the extent to which each index of sleep accounted for daily fluctuations in performance on next day cognitive tests. Results indicated that during nights when individuals had more REM sleep minutes than was typical, they performed better on the working memory task the next morning (estimate = -.003, SE = .002, p = .02). These results highlight the impact of REM sleep on CF, and further research may allow for targeted interventions for earlier treatment of sleep-related cognitive impairment.

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 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

Can We Improve Fluid Intelligence With Training on Working Memory in Persons With Intellectual Disabilities?

2009 ◽  
Vol 8 (2) ◽  
pp. 148-164 ◽  
Author(s):  
Walter J. Perrig ◽  
Marco Hollenstein ◽  
Stephan Oelhafen
Keyword(s):  
Working Memory ◽  
Intellectual Disabilities ◽  
Fluid Intelligence ◽  
Working Memory Training ◽  
Memory Training ◽  
Far Transfer ◽  
Hereditary Component ◽  
Remedial Intervention ◽  
Intellectual Deficiencies ◽  
The Relationship

Fluid intelligence is considered as the ability to reason and to solve problems that influence learning in everyday life in both professional and educational settings. Therefore, a possibility to improve this faculty in persons with intellectual disabilities would be of highest interest for education. However, still being debated, many scientist as well as practitioners will agree that it is extremely difficult for these persons to go beyond a certain level of reasoning and to improve their intellectual functioning. This goes together with the consideration of fluid intelligence as a trait with a strong hereditary component that is rather immune to training. Nevertheless, we present in this article the theoretical rationale for successful working memory training as a processual training and as a remedial intervention tool for persons with intellectual deficiencies. This rationale is based on a review of the research on the relationship between working memory and fluid intelligence and the research on far transfer effects in nontrained tasks after training in populations with varying mental capacity. Features and constraints of the training tasks are described that are considered mandatory for a working memory training to be efficient.

Working memory, executive function, and general fluid intelligence are not the same

2006 ◽  
Vol 29 (2) ◽  
pp. 135-136 ◽  
Author(s):  
Richard P. Heitz ◽  
Thomas S. Redick ◽  
David Z. Hambrick ◽  
Michael J. Kane ◽  
Andrew R. A. Conway ◽  
...  
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Executive Function ◽  
Fluid Intelligence ◽  
Good Reason ◽  
Normal Functioning ◽  
Controlled Attention ◽  
The Relationship

Blair equates the constructs of working memory (WM), executive function, and general fluid intelligence (gF). We argue that there is good reason not to equate these constructs. We view WM and gF as separable but highly related, and suggest that the mechanism behind the relationship is controlled attention – an ability that is dependent on normal functioning of the prefrontal cortex.

scholarly journals The Relationship of Executive Functions and Speech Production in Senior Preschool Children: Working Memory and Storytelling

2019 ◽  
Vol 8 (3) ◽  
pp. 56-84 ◽  
Author(s):  
A.N. Veraksa ◽  
E. Ochepkova ◽  
D.A. Bukhalenkova ◽  
N. Kartushina
Keyword(s):  
Working Memory ◽  
Preschool Children ◽  
Verbal Working Memory ◽  
Speech Development ◽  
Memory Development ◽  
Semantic Completeness ◽  
And Cluster Analysis ◽  
Relationship Of ◽  
The Relationship ◽  
Global Indicators

The article presents the data of the study of working memory and features of oral monologue speech in preschool children. 269 children (133 boys and 136 girls) aged 5-6 years (M=5.6 years; Sd=0.48) attending the senior group of kindergarten in Moscow were examined. Features of oral monologue speech development were studied using methods developed in the Russian neuropsychology: tasks for retelling the text and compiling the story of a series of pictures. General neuropsychological parameters, separate lexical and grammatical (morphology and syntax) indicators, macrostructure of the narrative were analyzed in the evaluation of children's responses. As a result of the correlation and cluster analysis, similar links were obtained: the level of working memory development in preschoolers is correlated with such indicators of the child's speech development as semantic completeness of the text, its adequacy, programming of speech message, the number of words and sentences in the text, the development of macrostructure and the type of narrative. Based on the results, it is concluded that the most general and global indicators of the macrostructure of the text are significantly associated with the development of working memory. At the same time, the development of verbal working memory is more associated with the development of speech in preschool children compared to visual working memory. The authors come to the conclusion that with a well-developed auditory working memory, the child's speech will be more correct lexically and grammatically.

scholarly journals Working Memory Capacity Mediates the Relationship between Removal and Fluid Intelligence

2018 ◽  
Author(s):  
Kris Singh ◽  
Gilles Gignac ◽  
Christopher Brydges ◽  
Ullrich K. H. Ecker
Keyword(s):  
Working Memory ◽  
Removal Efficiency ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Core Component ◽  
The Core ◽  
Confirmatory Factor ◽  
Study Participants ◽  
The Relationship

A process of active, item-wise removal of information from working memory (WM) has been proposed as the core component process of WM updating. Consequently, we investigated the associations between removal efficiency, WM capacity, and fluid intelligence (gF) in a series of three individual-differences studies via confirmatory factor analysis. In each study, participants completed a novel WM updating task battery designed to measure removal efficiency. In Study 1, participants additionally completed a WM capacity task battery. In Study 2, participants completed a battery of well-established measures of gF in addition to the updating battery. In Study 3, participants completed the updating, WM capacity, and gF task batteries. The results suggested that removal efficiency was related to both WM capacity and gF. Furthermore, based on a mediation analysis, the relationship between removal efficiency and gF was found to be entirely indirect via removal’s influence on WM capacity. The results were interpreted to suggest that removal ability may contribute to performance in reasoning tasks effectively through increasing WM capacity, presumably through reducing interference from distracting information.

Individual Differences in Attention Control

2020 ◽  
pp. 175-211
Author(s):  
Cody A. Mashburn ◽  
Jason S. Tsukahara ◽  
Randall W. Engle
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Executive Attention ◽  
Attention Theory ◽  
Attentional Resources ◽  
The Relationship

This chapter outlines the executive attention theory of higher-order cognition, which argues that individual differences in the ability to maintain information in working memory and disengage from irrelevant information is inextricably linked to variation in the ability to deploy domain-free attentional resources in a goal-directed fashion. It also summarizes recent addendums to the theory, particularly regarding the relationship between attention control, working memory capacity, and fluid intelligence. Specifically, the chapter argues that working memory capacity and fluid intelligence measures require different allocations of the same attentional resources, a fact which accounts for their strong correlation. At various points, it addresses theoretical alternatives to the executive attention theory of working memory capacity and empirical complications of the study of attention control, including difficulties deriving coherent attention control latent factors.

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