Showing posts with label processing speed. Show all posts
Showing posts with label processing speed. Show all posts

Wednesday, April 09, 2025

Research Byte: Development of #Arithmetic Across the #Lifespan: A Registered Report. - #Gq #CHC #Gwm #EF #Gs #schoolpsychology #SPED #SLD


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Development of Arithmetic Across the Lifespan: A Registered Report.  


Open access paper available at Developmental Psychology journal.  Click here to access

Abstract
 
Arithmetic skills are needed at any age. In everyday life, children to older adults calculate and deal with numbers. The processes underlying arithmetic seem to change with age. From childhood to younger adulthood, children get better in domain-specific numerical skills such as place-value processing. From younger to older adulthood, domain-general cognitive skills such as working memory decline. These skills are needed for complex arithmetic such as addition with carrying and subtraction with borrowing. This study investigates how the domain-specific (number magnitude, place-value processing) and domain-general (working memory, processing speed, inhibition) processes of arithmetic change across the lifespan. Thereby, arithmetic effects (carry and borrow effects), numerical effects (distance and compatibility effects), and cognitive skills were assessed in children, younger and older adolescents, and younger, middle-aged and older adults. The results showed that numerical and arithmetic skills improve from childhood to young adulthood and remain relatively stable throughout adulthood, even though domain-general pro-cesses, particularly working memory and processing speed, decline with age. While number magnitude and place-value processing both develop until adulthood, number magnitude processing shows deficits during aging, whereas place-value processing remains intact even in old age. The carry effect shifts from a categorical all-or-none decision (whether or not a carry operation is needed) to a more continuous magnitude process in adulthood, reflecting increasing reliance on domain-specific skills. In contrast, the borrow effect remains largely categorical across all age groups, depending on general cognitive processes. These results provide critical insights into how arithmetic skills change over the lifespan, relying on both domain-specific and domain-general processes.

Public Significance Statement 

Numerical and arithmetic skills improve significantly during school and are mostly preserved throughout adulthood—despite a decline in cognitive skills such as working memory and processing speed during aging. When facing complex arithmetic, all—from children up to older adults—need longer to calculate, but lifelong experience helps in dealing with arithmetic complexity. Throughout the lifespan, arithmetic requires both cognitive skills as well as numeric skills.

Monday, October 29, 2018

CHC theory update: Significant changes to the narrow Gs abilities

See my chapter with Joel Schneider for discussion.











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Kevin McGrew, PhD
Educational Psychologist
Director, Institute for Applied Psychometrics
IAP
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Tuesday, December 22, 2015

More research support for the P-FIT neuro-model of intelligence (Gf and Gwm)

Another study, with an excellent integration of other research, supporting the parietal-frontal integration (P-FIT) neuro-model of intelligence, specifically the networks involvement in fluid reasoning (Gf) and working memory capacity (Gwm), but not Gs.  Click here for prior P-FIT related posts.  The amount of research providing some support for the P-FIT model can not be ignored.

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Friday, June 29, 2012

Research byte: Math disabilities and math fact retrieval deficits

David Geary does some of the best research in the world on mathematics and math related disorders. Here is yet another piece of good research. Click on image to enlarge.



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www.themindhub.com

Friday, July 01, 2011

Cognitive efficiency measures as the brain's cognitive thermometer




Yet on more study linking poor global processing speed (Gs) with a clinical disorder, this time reading (again). It is very clear that during the past decade one of the most robust research findings (based on the relations between psychometric measures of abilities and all kinds of clinical disorders) is the importance of "cognitive efficiency" in identifying individuals with a wide variety of disorders.

The CHC domains of processing speed (Gs) and working memory (Gsm-WM) have repeatedly been found to be strong indicators that something is wrong in cognitive function, across many clinical disorders. I like to describe measures of cognitive efficiency (Gs+Gsm) as brain thermometers. They can tell you that the cognitive system is not operating efficiently, but they lack specificity to make specific differential diagnoses. Cognitive efficiency markers are domain-general re: Dx.

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Tuesday, May 05, 2009

Dissertation Dish: Dimensionality of processing speed tests

Exploring the relationships among various measures of processing speed in a sample of children referred for psychological assessments by Nelson, Megan A., Ph.D., University of Virginia, 2009, 102 pages; AAT 3348732

Abstract (Summary)

Processing speed is a robust psychometric factor in modern tests of cognitive ability (Carroll, 1993), but the common factors underlying mental speed and its contributions to individual differences in functioning are not well understood. The goal of the current study was to further explore mental speed by conducting a confirmatory factor analysis (CFA) on 11 speeded subtest scores. It was hypothesized that the 11 subtests would be best represented by a four-factor model. These four factors were then submitted to a cluster analysis to identify whether certain patterns of factor scores were related to different demographic characteristics, diagnoses, or referral questions. It was hypothesized that Learning Disorder, Attention-Deficit/Hyperactive Disorder, and comorbid LD/ADHD diagnoses would be most likely to have unique processing speed factor patterns.

Participants were 186 children (ages 6 - 18 years old) referred to a university-based clinic for a comprehensive psychological evaluation. The CFA indicated that although the 11 measures are all speeded, they are best represented as four distinct constructs, labeled perceptual speed, naming facility, academic facility, and reaction time in this study. The clusters produced in this study appeared to be most highly differentiated by level (likely influenced by intelligence level) and by pattern only in respect to reaction time factor scores. Therefore, both the CFA and cluster analyses lend support to Cattell-Horn-Carroll cognitive theory's distinction between cognitive processing speed (Gs) and decision/reaction time (Gt). Additionally, the CFA results suggest that Gs may be multifaceted, but the cluster analysis did not differentiate clusters based on the processing speed factors. Although the results of this study have important implications for both assessment clinicians and cognitive theory, further research is needed to clarify the constructs of processing speed and reaction time as well as to identify the clinical implications of different processing speed patterns.
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Friday, April 03, 2009

WAIS-III brain injury lession mapping research

Interesting 2006 WAIS-III brain injury lesion mapping study by Glascher et al. in Neuron.  I have some concerns about the interpretation of the results (see below), but see this as a neat study because of the large sample size for lesion-specific subjects (n=241) and the very interesting visual-graphic presentation of the results...esp. the grand summary figure in the discussion section.  Also, a supplementary report to the article is also available.

My concerns are related to the presence of construct irrelvant variance (when viewed from a CHC lense - and the results of CHC-based cross-battery studies) in some of the WAIS-III index scores used.  The Verbal Comprehension Index (VCI) is a good indicator of Gc.  Processing Speed (PSI) is a good index for Gs.  However, the Working Memory Index (WMI) is a mixed measure of Gsm (Digit Span and Letter-Number Sequencing) and Gq (see prior post about Arithmetic test Gq classification), and the Perceptual Organization Index (POI) is a mixed measure of Gv (Block Design and Picture Completion) and Gf (Matris Reasoning).  This suggests caution when trying to interpret the research findings from a CHC perspective.  However, I can see the practical and functional utility of knowing the relations between WAIS-III index scores, even if some are not the most valid CHC indicators, and possible brain lessions.

We need more research like this using more construct valid indicators of CHC abilities.

Abstract

The Wechsler Adult Intelligence Scale (WAIS) assesses a wide range of cognitive abilities and impairments. Factor analyses have documented four underlying indices that jointly comprise intelligence as assessed with the WAIS: verbal comprehension (VCI), perceptual organization (POI), working memory (WMI), and processing speed (PSI). We used nonparametric voxel-based lesion-symptom mapping in 241 patients with focal brain damage to investigate their neural underpinnings. Statistically significant lesion-deficit relationships were found in left inferior frontal cortex for VCI, in left frontal and parietal cortex for WMI, and in right parietal cortex for POI. There was no reliable single localization for PSI. Statistical power maps and cross-validation analyses quantified specificity and sensitivity of the index scores in predicting lesion locations. Our findings provide comprehensive lesion maps of intelligence factors, and make specific recommendations for interpretation and application of the WAIS to the study of intelligence in health and disease.
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