Showing posts with label dyscalculia. Show all posts
Showing posts with label dyscalculia. Show all posts

Friday, March 21, 2025

Research Byte: Co-Occurrence and Causality Among #ADHD, #Dyslexia, and #Dyscalculia - #SLD #schoolpsychology #sped #genetics #EDPSY

Co-Occurrence and Causality Among ADHD, Dyslexia, and Dyscalculia

Published in Psychological Science.  Click here to access PDF copy of article

Abstract
ADHD, dyslexia, and dyscalculia often co-occur, and the underlying continuous traits are correlated (ADHD symptoms, reading, spelling, and math skills). This may be explained by trait-to-trait causal effects, shared genetic and environmental factors, or both. We studied a sample of ≤ 19,125 twin children and 2,150 siblings from the Netherlands Twin Register, assessed at ages 7 and 10. Children with a condition, compared to those without that condition, were 2.1 to 3.1 times more likely to have a second condition. Still, most children (77.3%) with ADHD, dyslexia, or dyscalculia had just one condition. Cross-lagged modeling suggested that reading causally influences spelling (β = 0.44). For all other trait combinations, cross-lagged modeling suggested that the trait correlations are attributable to genetic influences common to all traits, rather than causal influences. Thus, ADHD, dyslexia, and dyscalculia seem to co-occur because of correlated genetic risks, rather than causality.



 

Friday, June 29, 2012

Research byte: Rate or fluency measures of math measure abilities different from non-speeded math measures

Interesting study that suggests that math fluency is a unique ability in mathematics and simply examining measures of math rate or fluency are not good proxies for estimating general level of math skills (unspeeded math calculation or applied problems). Math fluency is important ability to measure and understand on its own. Click on image to enlarge




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www.themindhub.com

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.



Posted using BlogPress from Kevin McGrew's iPad
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Sunday, April 22, 2012

Wednesday, September 14, 2011

Research Byte: Cognitive correlates of math disabilities/dyscalculia




David Geary does some of the best math research around. I read everything he writes on math achievement and disabilities.

Double click on images to enlarge



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Wednesday, December 02, 2009

Atypical numerical cognition, dyscalculia, math LD: Special issue of Cognitive Development


A special issue of the journal Cognitive Development spotlights state-of-the-art research in atypical development of numerical cognition, dyscalculia, and/or math learning disabilities.  Article titles and abstracts are below.

Volume 24, Issue 4, Pages 339-494 (2009)      
Atypical Development of Numerical Cognition
Edited by Ann Dowker and Liane Kaufmann


Atypical development of numerical cognition: Characteristics of developmental dyscalculia
Pages 339-342
Ann Dowker, Liane Kaufmann



Avoiding misinterpretations of Piaget and Vygotsky: Mathematical teaching without learning, learning without teaching, or helpful learning-path teaching?
Pages 343-361
Karen C. Fuson

Abstract
This article provides an overview of some perspectives about special issues in classroom mathematical teaching and learning that have stemmed from the huge explosion of research in children's mathematical thinking stimulated by Piaget. It concentrates on issues that are particularly important for less-advanced learners and for those who might be having special difficulties in learning mathematics. A major goal of the article is to develop a framework for understanding what effective mathematics teaching and learning is, because doing so is so important for struggling students and for research about them. Piaget's research had a fundamental influence on the on-going tension between understanding and fluency in the classroom, supporting efforts toward increasing understanding. But in some countries, misinterpretations of Piaget led to practices that are counterproductive for children, especially struggling learners. Such misinterpretations are identified and a more balanced approach that also draws on Vygotsky is described—a learning-path developmentally-appropriate learning/teaching approach.

Co-occurrence of developmental disorders: The case of Developmental Dyscalculia
Pages 362-370
Orly Rubinsten

Abstract
Five to seven percent of children experience severe difficulties in learning mathematics and/or reading. Current trials that are focused on identifying biological markers suggest that these learning disabilities, known as Developmental Dyscalculia (DD) and Dyslexia (for reading), are due to underlying brain dysfunctions. One ongoing controversy concerns the extent to which arithmetic impairments are specific to DD or shared with other developmental disorders such as Dyslexia. This review explores and develops a hypothesis for cases of DD + Dyslexia. Three factors warrant consideration: (a) the behavioral factor, including definitions of the disabilities and assessment tools; (b) the cognitive factor, including whether co-occurrence of DD and other developmental disorders such as Dyslexia derive from similar or different cognitive risk factors; (c) the biological factor, including consideration of static vs. developmental neuropsychology. Better understanding of the causes of co-occurrence of DD and Dyslexia, or other developmental disorder such as Attention Deficit Hyperactivity Disorder (ADHD), can have an important influence on research that examine the two disorders, including research on therapy and etiology.

Basic number processing deficits in developmental dyscalculia: Evidence from eye tracking
Pages 371-386
K. Moeller, S. Neuburger, L. Kaufmann, K. Landerl, H.-C. Nuerk

Abstract
Recent research suggests that developmental dyscalculia is associated with a subitizing deficit (i.e., the inability to quickly enumerate small sets of up to 3 objects). However, the nature of this deficit has not previously been investigated. In the present study the eye-tracking methodology was employed to clarify whether (a) the subitizing deficit of two boys with dyscalculia resulted from a general slowing in the access to magnitude representation, or (b) children with dyscalculia resort to a back-up counting strategy even for small object sets. In a dot-counting task, a standard problem size effect for the number of fixations required to encode the presented numerosity within the subitizing range was observed. Together with the finding that problem size had no impact on the average fixation duration, this result suggested that children with dyscalculia may indeed have to count, while typically developing controls are able to enumerate the number of dots in parallel, i.e., subitize. Implications for the understanding of developmental dyscalculia are considered.

Numerical distance effect in developmental dyscalculia
Pages 387-400
Sarit Ashkenazi, Nitza Mark-Zigdon, Avishai Henik

Abstract
Children in third and fourth grades suffering from developmental dyscalculia (DD) and typically developing children were asked to compare numbers to a standard. In two separate blocks, they were asked to compare a number between 1 and 9 to 5, or a two-digit number between 10 and 99 to 55. In the single-digit comparisons, DD children were comparable to the control group in reaction time but showed a difference in error rates. In the two-digit number comparisons, DD children presented a larger distance effect than the controls. In addition, they were more influenced by the problem size than controls were. Assuming an analog representation of quantities, this suggests that quantities are less differentiated in those with DD than in typically developing children.

Use of derived fact strategies by children with mathematical difficulties
Pages 401-410
Ann Dowker

Abstract
339 children aged 6 and 7 at Oxford primary schools took part in a study of arithmetic. 204 of the children had been selected by their teachers as having mathematical difficulties and the other 135 children were unselected. They were assigned to an Addition Performance Level on the basis of a calculation pretest, and then given Dowker's (1998) test of derived fact strategies in addition, involving strategies based on the Identity, Commutativity, Addend + 1, Addend - 1, and addition/subtraction Inverse principles. The exact arithmetic problems given varied according to the child's previously assessed calculation level and were selected to be just a little too difficult for the child to solve unaided. The technique was used of giving children the answer to a problem and then asking them to solve another problem that could be solved quickly by using this answer, together with the principle under consideration. The children were also given the WISC Arithmetic subtest and the British Abilities Scales Basic Number Skills Subtest. Performance on the standardized arithmetic tests was independently affected by both Addition Performance Level and group membership (unselected children versus those with mathematical difficulties). Derived fact strategy use was affected by Addition Performance Level, but there was no independent effect of group membership.

First-grade predictors of mathematical learning disability: A latent class trajectory analysis
Pages 411-429
David C. Geary, Drew H. Bailey, Andrew Littlefield, Phillip Wood, Mary K. Hoard, Lara Nugent

Abstract
Kindergarten to third grade mathematics achievement scores from a prospective study of mathematical development (n = 306) were subjected to latent growth trajectory analyses. The four corresponding classes included children with mathematical learning disability (MLD, 6% of sample), and low (LA, 50%), typically (TA, 39%) and high (HA, 5%) achieving children. The groups were administered a battery of intelligence (IQ), working memory, and mathematical-cognition measures in first grade. The children with MLD had general deficits in working memory and IQ and potentially more specific deficits on measures of number sense. The LA children did not have working memory or IQ deficits but showed moderate deficits on these number sense measures and for addition fact retrieval. The distinguishing features of the HA children were a strong visuospatial working memory, a strong number sense, and frequent use of memory-based processes to solve addition problems. Implications for the early identification of children at risk for poor mathematics achievement are considered.

The trajectory of mathematics skills and working memory thresholds in girls with fragile X syndrome
Pages 430-449
Melissa M. Murphy, Michèle M.M. Mazzocco

Abstract
Fragile X syndrome is a common genetic disorder associated with executive function deficits and poor mathematics achievement. In the present study, we examined changes in math performance during the elementary and middle school years in girls with fragile X syndrome, changes in the working memory loads under which children could complete a cognitive switching task, and the association between these two areas of function, in girls with fragile X syndrome relative to their peers. Our findings indicate that the trajectory of math and executive function skills of girls with fragile X differs from that of their peers and that these skills contribute to predicting math achievement and growth in math performance over time. Also, changes in math performance were associated with incremental increases in working memory demands, suggesting that girls with fragile X have a lower threshold for being able to perform under increasing task demands. Still, we found improvement in executive function performance between 10 and 12 years in girls with fragile X rather than a performance plateau as has been reported in other studies. The findings implicate the importance of early intervention in mathematics for girls with fragile X that addresses poor calculation skills, the supporting numerical skills, and deficits in executive functions, including working memory.

Computer-assisted intervention for children with low numeracy skills
Pages 450-472
Pekka Räsänen, Jonna Salminen, Anna J. Wilson, Pirjo Aunio, Stanislas Dehaene

Abstract
We present results of a computer-assisted intervention (CAI) study on number skills in kindergarten children. Children with low numeracy skill (n = 30) were randomly allocated to two treatment groups. The first group played a computer game (The Number Race) which emphasized numerical comparison and was designed to train number sense, while the other group played a game (Graphogame-Math) which emphasized small sets of exact numerosities by training matching of verbal labels to visual patterns and number symbols. Both groups participated in a daily intervention session for three weeks. Children's performance in verbal counting, number comparison, object counting, arithmetic, and a control task (rapid serial naming) were measured before and after the intervention. Both interventions improved children's skills in number comparison, compared to a group of typically performing children (n = 30), but not in other areas of number skills. These findings, together with a review of earlier computer-assisted intervention studies, provide guidance for future work on CAI aiming to boost numeracy development of low performing children.

An electro-physiological temporal principal component analysis of processing stages of number comparison in developmental dyscalculia
Pages 473-485
Fruzsina Soltész, Dénes Szucs

Abstract
Developmental dyscalculia (DD) still lacks a generally accepted definition. A major problem is that the cognitive component processes contributing to arithmetic performance are still poorly defined. By a reanalysis of our previous event-related brain potential (ERP) data (Soltész et al., 2007) here our objective was to identify and compare cognitive processes in adolescents with DD and in matched control participants in one-digit number comparison. To this end we used temporal principal component analysis (PCA) on ERP data. First, PCA has identified four major components explaining the 85.8% of the variance in number comparison. Second, the ERP correlate of the most frequently used marker of the so-called magnitude representation, the numerical distance effect, was intact in DD during all processing stages identified by PCA. Third, hemispheric differences in the first temporal component and group differences in the second temporal component suggest executive control differences between DD and controls.

Numerical and non-numerical ordinality processing in children with and without developmental dyscalculia: Evidence from fMRI
Pages 486-494
L. Kaufmann, S.E. Vogel, M. Starke, C. Kremser, M. Schocke

Abstract
Ordinality is – beyond numerical magnitude (i.e., quantity) – an important characteristic of the number system. There is converging empirical evidence that (intra)parietal brain regions mediate number magnitude processing. Furthermore, recent findings suggest that the human intraparietal sulcus (IPS) supports magnitude and ordinality in a domain-general way. However, the latter findings are derived from adult studies and with respect to children (i.e., developing brain systems) both the neural correlates of ordinality processing and the precise role of the IPS (domain-general vs. domain-specific) in ordinality processing are thus far unknown. The present study aims at filling this gap by employing functional magnetic resonance imaging (fMRI) to investigate numerical and non-numerical ordinality knowledge in children with and without developmental dyscalculia. In children (without DD) processing of numerical and non-numerical ordinality alike is supported by (intra)parietal cortex, thus extending the notion of a domain-general (intra)parietal cortex to developing brain systems. Moreover, activation extents in response to numerical ordinality processing differ significantly between children with and without dyscalculia in inferior parietal regions (supramarginal gyrus and IPS).

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Thursday, June 25, 2009

Math disabilities: JPA special issue



The current issue of the Journal of Psychoeducational Assessment focuses on math disabilities (often referred to as dyscalculia), an area less investigated than reading disabilities (aka, dyslexia).

Highlights from the issue are summarized in the guest editors introductory article:

  • Grégoire, J. & Desoete, A. (2009). Mathematical Disabilities:  An Underestimated Topic?  Journal of Psychoeducational Assessment 27, 171-174

According to the special issue editors, and well understood by most people, is the fact that math literacy is becoming increasing important in our technological and information-based society. Furthermore, "differences in mathematics skills and abilities between and within individuals are normal. Teachers are expected to cope with learning differences and to adjust their teaching style to the needs of all students. However, in some cases, these differences appear to be so severe or resistant that they can be considered as characteristics of “problems” or even “disabilities” (Desoete, 2008; Geary, 2004)."  The editors cite statistics that the prevalence of mathematical disabilities as been reported between 3% and 14% of children.  Despite a prevalance rate similar to reading disabilities, the research focusing on math disabilities is much less than that for reading disabilities.  According to the editors, "from 2000 to 2008, only 202 articles on mathematics disabilities and 211 articles on dyscalculia were cited in Web of Knowledge, whereas 302 articles on reading disabilities and 2,918 articles on dyslexia could be found, although the prevalence of both learning disabilities is about the same."

This JPA special issue "is devoted to the assessment of mathematical disabilities, the comorbidity with reading disability, the risk of underestimating potentials because of math anxiety, potential markers for mathematical learning disabilities, and the sensitivity and specificity of tests."

Below are a few highlights from the guest editors intro:
  • One of the unresolved questions is the comorbidity rate with other disabilities.
  • The comorbidity rate varies from 17% to 43%
  • There can be little dispute that the presence of comorbidity poses a serious challenge to existing assessment and comprehension of mathematical disabilities.
  • Mathematical learning disabilities are often associated with math anxiety. Moreover, math anxiety might lead to an underestimation of true ability. Ashcraft and Moore (2009) focus on risk factors for math anxiety and some factors that should be kept in mind when assessing math anxious students. Krinzinger, Kaufmann, and Willmes (2009) add to this body of knowledge by investigating the relationship between calculation ability, self reported evaluation of mathematics, and math anxiety in primary school children.
  • The last decade, increased attention has been given to the assessment of early numeracy (e.g., Grégoire, 2005). The current interest in early predictors is stimulated by the fact that if predictors and core deficits can be assessed and addressed as key components in remediation programs, children might not fall farther behind. Moreover, during the past few years, a large body of empirical evidence suggested that the earlier we recognise vulnerable young children, the more likely we will be to support their subsequent development (Coleman, Buysse, & Neitzel, 2006). Therefore, this special issue is also focused on the assessment of individual differences in early numeracy and on the role of executive functions and subitizing (Kroesbergen, Van Luit, Van Lieshout, Van Loosbroek, & Van de Rijt, 2009), as well as on the role of preparatory arithmetic markers and intelligence (Stock, Desoete, & Roeyers, 2009) to add to our psychological understanding of initial development arithmetic skills and to help respond to young children who may be at risk for mathematical learning disabilities as early as possible.


Saturday, April 04, 2009

IQs Corner Reading Inbox 4-3-09

What's in IQ's Corner reading inbox for 4-3-09? Click here to find out. Articles about effectiveness of Fastforward program, math disabilities (dyscalculia), and reading disabilities (dyslexia).

Friday, October 19, 2007

Cognitive efficiency (working memory+Gs) = necessary but not sufficient constructs for learning?

As promised, here are a few thoughts from my Friday afternoon synaptic symphony of musings related to Geary's article on math learning.

On page 482 Geary talks about the core cognitive mechanisms (of working memory and Gf) being mental speed of information processing and attentional control (which I interpret as Engle, Conway et al.'s executive controlled attention). The overlap of these constructs with working memory and Gs (what we, in the land of the WJ III, call cognitive efficiency) is very interesting. In recent presentations I've referred to these core abilities as domain-general constructs...as recent CHC research suggests they are important for learning across almost all domains of human learning, esp. during initial stages of learning. These contrast with domain-specific abilities that appear more specific to learning in specific achievement domains (e.g., Ga and reading; Gf and mathematics).

I like his statement that these mechanisms are "necessary but not sufficient" for the development of secondary abilities (e.g., mathematics; reading). This makes sense. Domain general cognitive efficiency may be a set of necessary, but not sufficient, abilities for learning. They are necessary to learn, but the development of secondary abilities (such as reading and math) may require the addition of other abilities (Glr, Gf, Ga, Gv, etc.)) above and beyond cognitive efficiency.

This also connects with some causal models I've run where working memory, memory span, and Gs are specified as causal mechanism behind other cognitive abilities and achievement.

Just some Friday afternoon musings and thoughts as I "connect some dots" in my quirky store of acquired knowledge.

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Math learning and LD: Synthesis article by Geary

Every so often I run across a book or journal article that, in my opinion, resonates with considerable clarity re: something important regarding human intelligence and or understanding learning and or learning disabilities. I'm not sure if these readings, as viewed by others, would be accorded similar value, or if the readings just hit me at a time when I'm trying to "connect the dots" across the diverse literature that I skim on a routine basis.

I just finished skimming one such article. The article is by David Geary in Developmental Neuropsychology (2007, vol 32[1], p. 471-519; click here to view). The title of the article is "An evolutionary perspective on learning disabilities in mathematics." I try to read anything that David Geary writes as, IMHO, he is one of the top notch intelligence/cognitive scholars of our times, particularly as his research relates to helping us understand an important aspect of school learning--mathematics.

I plan (hope) to make a number of posts as I distill the essence of what he has written. The real beauty of this article is that it is a grand synthesis article that puts, in one place, his current synthesis of contemporary research on the development of mathematics and possible causes of math learning disabilities.

At this time I'm just alerting my readers to the article and making it available for viewing. Although some of the evolutionary material may be a bit difficult to digest, and does not have direct application to applied intelligence testing and interventions, the remainder of the article is packed with useful summary statements regarding the potential cognitive mechanisms, underlying neuroanatomy, etc. of mathematical learning.

More to come. But in the meantime, please read and digest on your own pace. I urge readers to take the time to become familiar with this article, as well as other research published by David Geary (a select list is below).

  • Fink, B., Brookes, H., Neave, N., Manning, J. T., & Geary, D. C. (2006). Second to fourth digit ratio and numerical competence in children. Brain and Cognition, 61(2), 211-218.
  • Geary, D. C. (2001). The development of intelligence, by M. Anderson. Contemporary Psychology APA Review of Books, 46(1), 23-25.
  • Geary, D. C. (1999). Evolution and developmental sex differences. Current Directions in Psychological Science, 8(4), 115-120.
  • Geary, D. C. (2007). An evolutionary perspective on learning disability in mathematics. Developmental Neuropsychology, 32(1), 471-519.
  • Geary, D. C. (2006). Gender differences in mathematics: An integrative psychological approach, by A.M. Gallagher, J.C. Kaufman. British Journal of Educational Studies, 54(2), 245-246.
  • Geary, D. C. (1993). Mathematical disabilities: Cognitive, neuropsychological, and genetic components. Psychological Bulletin, 114(2), 345-362.
  • Geary, D. C. (2004). Mathematics and learning disabilities. Journal of Learning Disabilities, 37(1), 4-15.
  • Geary, D. C. (2005). Role of cognitive theory in the study of learning disability in mathematics. Journal of Learning Disabilities, 38(4), 305-307.
  • Geary, D. C., Hamson, C. O., & Hoard, M. K. (2000). Numerical and arithmetical cognition: A longitudinal study of process and concept deficits in children with learning disability. Journal of Experimental Child Psychology, 77(3), 236-263.
  • Geary, D. C., & Hoard, M. K. (2003). Learning disabilities in basic mathematics - Deficits in memory and cognition. J. M. RoyerMathematical Cognition (pp. 93-115). PO Box 4967/Greenwich/CT 06831/USA: Information Age Publishing.
  • Geary, D. C., Hoard, M. K., ByrdCraven, J., Nugent, L., & Numtee, C. (2007). Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development, 78(4), 1343-1359.
  • Geary, D. C., Hoard, M. K., & Hamson, C. O. (1999). Numerical and arithmetical cognition: Patterns of functions and deficits in children at risk for a mathematical disability. Journal of Experimental Child Psychology, 74(3), 213-239.
  • Geary, D. C., & Huffman, K. J. (2002). Brain and cognitive evolution: Forms of modularity and functions of mind. Psychological Bulletin, 128(5), 667-698.
  • Geary, D. C., Liu, F., Chen, G. P., Saults, S. J., & Hoard, M. K. (1999). Contributions of computational fluency to cross-national differences in arithmetical reasoning abilities. Journal of Educational Psychology, 91(4), 716-719.
  • Geary, D. C., Saults, S. J., Liu, F., & Hoard, M. K. (2000). Sex differences in spatial cognition, computational fluency, and arithmetical reasoning. Journal of Experimental Child Psychology, 77(4), 337-353.
  • Geary, D. C., & Widaman, K. F. (1992). Numerical cognition: On the convergence of componential and psychometric models. Intelligence, 16, 47-80.
  • Geary, D. C., Liu, F., Chen, G.-P., Saults, S. J., & Hoard, M. K. (1999). Contributions of Computational Fluency to Cross-National Differences in Arithmetical Reasoning Abilities. Journal of Educational Psychology, 91(4), 716-719.
  • Geary, D. C., & Widaman, K. F. (1992). Numerical cognition: On the convergence of componential and psychometric models. Intelligence, 16(1), 47-80.
  • Trull, T. J., & Geary, D. C. (1997). Comparison of the big-five factor structure across samples of Chinese and American adults. Journal of Personality Assessment, 69(2), 324-341.
  • Widaman, K. F., Gibbs, K. W., & Geary, D. C. (1987). Structure of adaptive behavior: I. Replication across fourteen samples of nonprofoundly mentally retarded people. American Journal of Mental Deficiency, 91(4), 348-360.

Wednesday, August 29, 2007

LD and RTI - guest blog post by Jim Hanson

The following is a guest blog post by Jim Hanson (School Psychologist, M.Ed., Portland Public Schools, Portland, Oregon), a new member of IQs Corner Virtual Community of Scholars project.

Jim recently shared some material (on the CHC listserv) that he and his colleagues had developed in response to new regulations regarding the identification of children with specific learning disabilities (SLD). He received many "me to" requests for copies of the materials he was offering. IQ's Corner invited Jim to share his materials via a guest post and to ask Jim to become a regular guest blogger. He agreed!!!!!

Below are links to the two documents he was distributing. One is in the form of a pdf file (click here to view). The other is a PowerPoint show, which I've made available via Slideshare (click here to view). Below are Jim's comments. His colleagues are listed on the title slide of the PPT show.

  • Federal and most state regulations have changed the critieria for identifying specific learning disabilities from the IQ/achievement discrepancy model to 1) response to intervention (RTI) and/or 2) a pattern of strengths and weaknesses in achievement or performance relative to age, state grade level standards, and intellectual development (PSW). School districts are struggling to interpret what PSW means. Some administrators wish to continue using the IQ/achievement discrepancy model and call it PSW. This ignores voluminous research evidence on the nature and the federal definition of learning disabilities, which define SLD as a weakness in one or more of the basic psychological processes. The reason for some districts' wish to continue with "business as usual" might be that district personnel are not familiar with the neurology of learning disabilities. If they are acquainted with cognitive science, they might still be daunted by the science's diversity of terms among researchers, its technological complexity, and its relation to effectiveness and ease in application across a wide variety of schools and school teams. The proposed reductionist model is based on models by several leading researchers in the field. It is designed as a first step in acquainting administrators with current cognitive science. It may also provide an acceptable research model until personnel can be trained in more expansive and technically adequate methods of identification. Interested persons are welcome to contact Jim Hanson atJaBrHanson@yahoo.com, or the Oregon School Psychologists Association for further questions and comments."

Wednesday, November 15, 2006

Random mind/brain blogsphere tidbits 11-15-06

  • Eide Neurolearning blog has a nice post on math,dyscalculia and brains (with some good links to original sources).
  • Looking for a safe place for children to do internet searches? Thanks to Lifehacker for the tip re: Zoo.com, a child-friendly search engine that filters out sexually explicit material.
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Thursday, May 26, 2005

CHC-grounded neuropsych math study

The following abstract (from a forthcoming article -- JCEN, 27, 1-11, '05) somehow found its way into my in-box via the invisible university. It is a study by David Osmon at the University of Wisconsin-Milwaukee. This is all the information I have regarding this study.

  • This study evaluated college age adults (N=138) referred for learning problems using a Cattell-Horn-Carroll based intelligence measure (Woodcock Johnson-Revised: WJ-R) and spatial and executive function neuropsychological measures to determine processing abilities underlying math skills. Auditory and visual perceptual (WJ-R Ga and Gv), long- and short-memory (WJ-R Glr and Gsm), crystallized and fluid intellectual (WJ-R Gc and Gf), and spatial and executive function (Judgment of Line Orientation [JLO] and Category Test) measures differentiated those with and without math deficits. Multiple regression revealed selective processing abilities (Gf, JLO, and Category) predicting about 16% of the variance in math skills after variance associated with general intelligence (also about 16%) was removed. Cluster analysis found evidence for a selective spatial deficit group, a selective executive function deficit group and a double deficit (spatial and executive function) group. Results were discussed in relation to a double deficit hypothesis associated with developmental dyscalculia.