Are gifted students more emotionally intelligent than their non-gifted peers? A meta-analysis: High Ability Studies: Vol 0, No 0

ABSTRACT
This Meta-Analysis investigated the relationship between emotional intelligence (EI) and giftedness. The study focused on whether gifted learners possessed higher levels of EI when compared with their non-gifted peers. Furthermore, it sought to determine if gifted males and gifted females differed in their EI abilities. A search of published and unpublished studies in English and Arabic from 1990 to 2018 resulted in 21 studies that compared gifted with non-gifted students, and 11 studies that compared gifted males with gifted females in their EI ability. Using a random-effect model, the results showed that gifted students outperformed non-gifted students on EI, g = 0.226, SE =.036, 95% CI [0.155, 0.297], p <.001. Furthermore, gifted females significantly surpassed gifted males in regrades to their emotional intelligence, g = 0.164, SE =.046, 95% CI [0.074, 0.255], p <.001. Multiple regression analyses showed that age, gender, EI measures, and EI skills significantly explained 18% of the variability in the mean effect between gifted vs. non-gifted students; whereas the age and EI skills moderators significantly explained 49% of the variation in the mean effect between gifted male and gifted female students. Implications and future directions were discussed.
KEYWORDS: Gifted, non-gifted, emotional intelligence, gender differences, meta-analysis


https://www.tandfonline.com/doi/abs/10.1080/13598139.2020.1770704?journalCode=chas20

Multidimensional Malingering Criteria for Neuropsychological Assessment: A 20-Year Update of the Malingered Neuropsychological Dysfunction Criteria | Archives of Clinical Neuropsychology | Oxford Academic

Multidimensional Malingering Criteria for Neuropsychological Assessment: A 20-Year Update of the Malingered Neuropsychological Dysfunction Criteria | Archives of Clinical Neuropsychology | Oxford Academic
https://academic.oup.com/acn/advance-article/doi/10.1093/arclin/acaa019/5830790

White matter matters—Gf and white matter connectivity

A neuromarker of individual general fluid intelligence from the white-matter functional connectome.  Link.

Jiao Li1, Bharat B. Biswal, Yao Meng, Siqi Yang, Xujun Duan, Qian Cui, Huafu Chen, and Wei Liao

Abstract

Neuroimaging studies have uncovered the neural roots of individual differences in human general fluid intelligence (Gf). Gf is characterized by the function of specific neural circuits in brain gray-matter; however, the association between Gf and neural function in brain white-matter (WM) remains unclear. Given reliable detection of blood-oxygen-level-dependent functional magnetic resonance imaging (BOLD-fMRI) signals in WM, we used a functional, rather than an anatomical, neuromarker in WM to identify individual Gf. We collected longitudinal BOLD-fMRI data (in total three times, ~11 months between time 1 and time 2, and ~29 months between time 1 and time 3) in normal volunteers at rest, and identified WM functional connectomes that predicted the individual Gf at time 1 (n = 326). From internal validation analyses, we demonstrated that the constructed predictive model at time 1 predicted an individual's Gf from WM functional connectomes at time 2 (time 1 ∩ time 2: n = 105) and further at time 3 (time 1 ∩ time 3: n = 83). From external validation analyses, we demonstrated that the predictive model from time 1 was generalized to unseen individuals from another center (n = 53). From anatomical aspects, WM functional connectivity showing high predictive power predominantly included the superior longitudinal fasciculus system, deep frontal WM, and ventral frontoparietal tracts. These results thus demonstrated that WM functional connectomes offer a novel applicable neuromarker of Gf and supplement the gray-matter connectomes to explore brain–behavior relationships.

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Intelligence and Adaptive Behavior: A Meta-Analysis: School Psychology Review: Vol 0, No 0

Intelligence and Adaptive Behavior: A Meta-Analysis: School Psychology Review: Vol 0, No 0
https://www.tandfonline.com/doi/abs/10.1080/2372966X.2020.1717374?journalCode=uspr20

Comparing Math LD Diagnostic Rates Obtained Using LDAC and DSM-5 Criteria: Implications for the Field - Meadow Schroeder, Michelle A. Drefs, Michael Zwiers,

Comparing Math LD Diagnostic Rates Obtained Using LDAC and DSM-5 Criteria: Implications for the Field - Meadow Schroeder, Michelle A. Drefs, Michael Zwiers,
https://journals.sagepub.com/doi/abs/10.1177/0829573520915366

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Kevin S. McGrew, PhD

Educational & School Psychologist

Director

Institute for Applied Psychometrics (IAP)

https://www.themindhub.com

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Brain Regions Identified as Being Associated with Verbal Reasoning through the Use of Imaging Regression via Internal Variation: Journal of the American Statistical Association: Vol 0, No ja

Brain Regions Identified as Being Associated with Verbal Reasoning through the Use of Imaging Regression via Internal Variation: Journal of the American Statistical Association: Vol 0, No ja
https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1766468?scroll=top&needAccess=true

******************************************

Kevin S. McGrew, PhD

Educational & School Psychologist

Director

Institute for Applied Psychometrics (IAP)

https://www.themindhub.com

******************************************

The role of frontal and parietal cortex in the performance of gifted and average adolescents in a mental rotation task

The role of frontal and parietal cortex in the performance of gifted and average adolescents in a mental rotation task
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0232660

******************************************

Kevin S. McGrew, PhD

Educational & School Psychologist

Director

Institute for Applied Psychometrics (IAP)

https://www.themindhub.com

******************************************

A neuromarker of individual general fluid intelligence from the white-matter functional connectome | Translational Psychiatry

A neuromarker of individual general fluid intelligence from the white-matter functional connectome | Translational Psychiatry
https://www.nature.com/articles/s41398-020-0829-3

Fwd: leading brains is out! Edition of 18 May 2020

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Date: May 18, 2020, 8:52 AM -0500
To: iap@earthlink.net
Subject: leading brains is out! Edition of 18 May 2020

leading brains Your neuro update Published by Andy Habermacher 18 May 2020 Read paper → Science Stories Environment Education #brain #neuroscience Scientists Bridge Neuroscience With AI Machine Learning Shared by Cami Rosso psychologytoday­.com - Artificial intelligence (AI) deep learning is somewhat inspired by the human intelligence of the biological brain. Recently researchers from Bar-Ilan University demonstrated that by increasing the fr… The scientific benefits of regular exercise for mental agility Shared by Koos Nolst Trenite fastcompany­.com - Exercise is a powerful tool with a special impact on how our brains work. advertisement advertisement It energizes our bodies, causing us to take deeper breaths and oxygenate our cells, but it also i… Body mass variation is negatively associated with brain size – evidence for the fat‐brain trade‐off in anurans Shared by Behav Ecol Papers onlinelibrary­.wiley­.com - Species can evolve diverse strategies to survive periods of uncertainty. Animals may either invest in energy storage, allowing them to decrease foraging costs, such as locomotion or risk of predation… How Your Brain's Immune System Affects Your Mood and Memory Shared by Koos Nolst Trenite psychologytoday­.com - With all the focus on COVID-19, immunity has become a fixture in the news and conversation. Yes, immunity is key to fighting off infections. But it's actually a much bigger deal. In fact, it plays a … How does the brain link events to form a memory? Study reveals unexpected mental processes Shared by Techfest, IIT Bombay sciencedaily­.com - This story, relayed by clinical psychiatrist and co-author of a new study Mohsin Ahmed, MD, PhD, is a powerful example of the brain's powerful ability to remember and connect events separated in time… Science Mind's eye: Incredible new brain implant lets the blind 'see' letters & shapes Shared by RT UK Brain health targets: stress, sleep, healthy aging, esports, and more Shared by Nutritional Outlook A Male Brain V/s A Female Brain -10 Interesting Differences Shared by The Minds Journal Home | Brain awareness week Shared by GFSU Brain Hacks To Make YOU Smarter? Shared by Fred Hansen Could electrical brain stimulation replace medications for depressed pregnant women? Shared by Paul Taylor More Science → Stories Louisiana Pastor Who Illegally Held In-Person Church Services Released From House Detention as Gov Relaxes Social Distancing Rules Shared by WatchOut4CrazyPenLady! More Stories → Environment This Is The Scientific Way To Win Any Argument (And Not Make Enemies) Shared by MindButterNYC More Environment → Education Great Graduates 2020: Jewel Medel Shared by KSAT 12 More Education → #brain Your Brain Is Not an Onion With a Tiny Reptile Inside Shared by John Gaspar Novel treatment using patient's own cells opens new possibilities to treat Parkinson's disease Shared by David Pearce A new biomarker for the aging brain Shared by RIKEN BDR Dr. Daniel Amen & Jay Shetty ON Habits For A Healthy Brain Shared by John Assaraf New brain transplant that shows words to blind people Shared by Tabsarah Motivating Women To Pursue STEM: Featuring Dr. Karen Moxon Shared by IEEE Brain More #brain → #neuroscience Study suggests negative self-imagery helps maintain social anxiety Shared by Health For The Brain Neuroscientists Think They've Found a Previously Unknown Form of Neural Communication Shared by Perry Kahai, Ph.D. Blind people could 'see' letters that scientists drew on their brains with electricity Shared by Amelia Technologies The Vagus Nerve at the Interface of the Microbiota-Gut-Brain Axis Shared by Frontiers Complement-Dependent Synaptic Uptake and Cognitive Decline after Stroke and Reperfusion Therapy Shared by NSAS Why Is It So Hard to Change Bad Habits? Shared by Katie More #neuroscience → Science • Stories • Environment • Education • #brain • #neuroscience Read paper →

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An Alternative Approach to Cognitive and Achievement Relations Research: An Introduction to Quantile Regression | SpringerLink

An Alternative Approach to Cognitive and Achievement Relations Research: An Introduction to Quantile Regression | SpringerLink

https://link.springer.com/article/10.1007/s40817-020-00086-3

An Alternative Approach to Cognitive and Achievement Relations Research: An Introduction to Quantile Regression

• Daniel B. Hajovsky, Ethan F. Villeneuve, W. Joel Schneider & Jacqueline M. Caemmerer 

• Journal of Pediatric Neuropsychology (2020)Cite this article

• 14 Accesses

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Abstract

A large body of prior work shows that cognitive abilities and basic academic skills explain individual differences in performance on reading, writing, and math achievement measures. However, this research focuses exclusively on the average relations between cognitive and achievement scores without consideration of whether effects vary at different thresholds of academic performance. To address this limitation, we employed unconditional quantile regression to explore the effects of cognitive abilities and basic and intermediate academic skills on advanced achievement outcomes as a function of reading, writing, or math skill level in a large nationally representative sample of youth and adolescent children (N = 3891). Quantile regression is a methodological technique that allows for a more nuanced examination of whether differential effects along the distribution of an outcome skill exist, which often goes undetected when employing more conventional regression methods that focus on mean effects. Findings from this exploratory study generally showed that cognitive abilities and basic and intermediate academic skills had a pattern of differential effects depending on achievement level, with stronger effects often observed when performance on the academic outcome measure was lower. This exploratory study provides an illustrative example of unconditional quantile regression and how it can be interpreted and applied within an area of relevance to pediatric neuropsychology.

******************************************

Kevin S. McGrew, PhD

Educational & School Psychologist

Director

Institute for Applied Psychometrics (IAP)

https://www.themindhub.com

******************************************

Attentional control has indirect effect on Gf via working memory (Gwm)

Another study  supporting attentional control (AC) as having an indirect causal effect on Gf mediated via working memory (Gwm).

Abstract

Human fluid intelligence emerges from the interactions of various cognitive processes. Although some classic models characterize intelligence as a unitary “general ability,” many distinct lines of research have suggested that it is possible to at least partially decompose intelligence into a set of subsidiary cognitive functions. Much of this work has focused on the relationship between intelligence and working memory, and more specifically between intelligence and the capacity-loading aspects of working memory. These theories focus on domain-general processing capacity limitations, rather than limitations specifically linked to working memory tasks. Performance on other capacity-constrained tasks, even those that have typically been given the label of “attention tasks,” may thus also be related to fluid intelligence. We tested a wide range of attention and working memory tasks in 7- to 9-year-old children and adults, and we used the results of these cognitive measures to predict intelligence scores. In a set of 13 measures we did not observe a single “positive manifold” that would indicate a general-ability understanding of intelligence. Instead, we found that a small number of measures were related to intelligence scores. More specifically, we found two tasks that are typically labeled as “attentional measures”, Multiple Object Tracking and

Enumeration, and two tasks that are typically labeled as “working memory” measures, N-back and Spatial Span, were reliably related to intelligence. However, the links between attention and intelligence scores were fully mediated by working memory measures. In contrast, attention scores did not mediate the relations between working memory and intelligence. Furthermore, these patterns were indistinguishable across age groups, indicating ahierarchical cognitive basis of intelligence that is stable from childhood into adulthood.

study