Saturday, May 15, 2010

iPost: Cognitive training to prevent cognitive decline

Story at SHARP BRIANS link below

http://m.beta.bloglines.com/items?mode=unread&subid=39777030&sort=desc


Kevin McGrew PhD
Educational Psychologist
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iPost: Computerized neuropsych testing

Article at link below

http://www.internationalbrain.org/?q=node/130


Kevin McGrew PhD
Educational Psychologist
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Tuesday, May 11, 2010

iPost: WMF misc project updates

Updates at link below


http://www.woodcock-munoz-foundation.org/newsnotes.html


Kevin McGrew PhD
Educational Psychologist
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Monday, May 10, 2010

IQs Corner Recent Literature of Interest 05-10-10

This weeks "recent literature of interest" is now available.  Click here for download.

Information regarding this feature, its basis, and the reasons for type of references included in each weekly installment can be found in a prior post.

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iPost: Critique of BBC Nature brain fitness study

Link at SHARP BRAINS below

http://www.sharpbrains.com/blog/2010/05/10/scientific-critique-of-bbc-nature-brain-training-experiment/


Kevin McGrew PhD
Educational Psychologist
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Dissertation Dish: Cognitive tests and brain white matter volume and review of common achievement tests

Conduits of cognition Neuropsychological correlates of cerebral white matter volume in healthy children and adolescents by Shmidheiser, Maximillian H., Psy.D., Widener University, Institute for Graduate Clinical Psychology, 2008 , 121 pages; AAT 3405214

Abstract
This study was an empirical analysis of the relationship between cerebral white matter volume and measures of intelligence, attention, processing speed and academic achievement among healthy children and adolescents. To date, there have been no studies that correlated a broad range of cognitive measures in relation to volumetric measurements of white matter via Magnetic Resonance Imaging (MRI) in healthy children and adolescents. This study sought to explore the supposition set forth by previous research, especially with regard to children treated with radiation therapy for cancer, that white matter is the neuroanatomical substrate that can account for variation in performance on select cognitive tasks. Additionally, the purpose of this study was to generate further hypotheses and research questions pertaining to key relationships between cerebral white matter volume and cognition in childhood and adolescence.

This study draws on a dataset created by the recent NIH MRI Study of Normal Brain Development, which utilized a large and demographically representative sample of children and adolescents. Archival cognitive data were drawn from select subtests of the Wechsler Abbreviated Scales of Intelligence (WASI), Wechsler Intelligence Scales for Children - III (WISC-III), Woodcock Johnson - III (WJ-III), and the Cambridge Neuropsychological Test Automated Battery (CANTAB). Volumetric measurements of white matter volume were obtained using archival magnetic resonance imaging data. Significant correlations between white matter volume and WASI Block Design, WASI Matrix Reasoning, CANTAB Spatial Span, and WJ-III Passage Comprehension were found; however, follow-up regression analyses revealed that white matter volume was a predictor only for WASI Block Design and WJ-III Passage Comprehension. The results of this study suggest that, in a healthy population of children and adolescents, white matter volume may be related to those academic and intelligence abilities that are complex and dependent upon the integration of disparate cortical regions.


A review of academic achievement tests: Recommendations for age appropriate administration by Kozloff, Allison Burstein, Psy.D., Widener University, Institute for Graduate Clinical Psychology, 2009 , 83 pages; AAT 3405220

Abstract


Comprehensive academic achievement tests are routinely used by school psychologists in psycho-educational assessment batteries to identify learning disabled students. A variety of assessment measures are used across age groups to determine if a discrepancy exists between academic achievement and intellectual functioning; however, among the most commonly used tests there are limitations as to how well they can accurately detect this discrepancy. This failure is due, in part, to test construction problems such as item gradient steepness that negatively impacts floor and ceiling effects. These construction problems are particularly salient with certain age ranges, indicating that the accuracy of these tests will vary depending on the age of the child being tested. This dissertation will review test construction issues for the most predominant comprehensive academic achievement tests, the Wechsler Individual Achievement Test - Second Edition (WIAT-II), the Woodcock-Johnson III Tests of Achievement (WJ-III ACH), and the Kaufman Test of Educational Achievement - Second Edition (KTEA-II), to determine the test most suitable for a particular age group.

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Sunday, May 09, 2010

iPost: MoCA CFA validation study


Journal of Neurology, Vol. 257, Issue 5 - New Issue
Validation studies of the Portuguese experimental version of the Montreal Cognitive Assessment (MoCA): confirmatory factor analysis
Author(s)Diana Duro, Mário R. Simões, Emanuel Ponciano & Isabel Santana
DOI10.1007/s00415-009-5399-5
Online sinceNovember 25, 2009
Page728 - 734


Diana DuroContact Information, Mário R. SimõesContact Information, Emanuel PoncianoContact Information and Isabel SantanaContact Information

(1) Neurology Department, Hospitais da Universidade de Coimbra, Praceta Mota Pinto, 3000-075 Coimbra, Portugal
(2) Faculty of Medicine, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, Celas, 3000-354 Coimbra, Portugal
(3) Psychological Evaluation Department, Faculty of Psychology and Educational Sciences, University of Coimbra, Rua do Colégio Novo, Apartado 6153, 3001-802 Coimbra, Portugal

Received: 20 August 2009  Revised:9 November 2009  Accepted:12 November 2009  Published online: 25 November 2009

Abstract  
The Montreal Cognitive Assessment (MoCA) is a cognitive screening instrument created with the purpose of overcoming some of the insufficiencies of the Mini-Mental State Examination (MMSE). The MoCA evaluates more cognitive areas and is comprised of more complex tasks as compared with the MMSE, which makes it a more sensitive instrument in the detection of Mild Cognitive Impairment (MCI), a state that often progresses to dementia. In this study we performed an analysis of the psychometric and diagnostic properties of the Portuguese experimental version of the MoCA in a clinical sample of 212 subjects with MCI and several dementia subtypes in a memory clinic setting. Additionally, we performed a Confirmatory Factor Analysis (CFA) to assess the MoCA's latent factorial structure. In a clinical population, the MoCA is a valid and reliable instrument with good psychometric properties, revealing high sensitivity in identifying MCI and dementia patients who generally score within the normal range on the MMSE. By using the parcels method, CFA results showed very good/excellent adjustment indexes. The practical implications of this CFA study allow us to propose a two factor model factorial structure for the MoCA: a first factor designated MEMORY, which includes memory, language and orientation subtests (the latter being closely correlated with the former), and a second factor designated ATTENTION/EXECUTIVE FUNCTIONS, comprised of attention, executive functions and visuospacial abilities tasks.

Kevin McGrew PhD
Educational Psychologist 
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Wednesday, May 05, 2010

AAIDD Death Penalty Task Force: Conflict of interest disclosure


I was recently asked (and accepted) to be a member of the AAIDD Death Penalty Task Force to address issues regarding Atkins MR/ID death penalty cases.  I want to thank the AAIDD members for the privilege. 

This is a conflict of interest disclosure note. 

  • Any comments or posts at  IQ's Corner or the ICDP blog do not represent the views or opinions of the AAIDD Death Penalty Task Force
  • I will not post any AAIDD Death Penalty Task Force internal communications at my two blogs.  Any task force information that is made public will be posted here as an FYI post with a URL to the appropriate AAIDD web resource. 
  • If the AAIDD DP TF asks me to disseminate information via my blogs, such posts will be clearly labeled.
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Thursday, April 29, 2010

IQs Corner Recent Literature of Interest 04-28-10

This weeks "recent literature of interest" is now available.  Click here for download.

Information regarding this feature, its basis, and the reasons for type of references included in each weekly installment can be found in a prior post.

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Wednesday, April 28, 2010

Dissertation Dish: WJ III Normative Update (NU) vs original WJ III norm scores

Normative comparison for the Woodcock-Johnson III: Tests of achievement in 15 and18 year olds by Cummings, Amber, Ed.S., Marshall University, 2009 , 27 pages; AAT 1481309

Abstract
This study evaluates the use of the original and updated norms of the Woodcock Johnson-III in making educational decisions. The method of collection involved placing the raw score obtained from the updated norms into the original Compuscore program to see if there is a difference between the two scoring systems. The scores were then placed in a figure to see how much the scores varied from each other. Results of the study showed that there was a 1 to 3 point difference between specific skill areas, with some skill areas obtaining a 5 to 6 point difference. Suggestions are made for Practitioners when using the updated norms.

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Monday, April 26, 2010

iPost: Brain fitness for all

New resource from SHARP BRAINS

http://www.sharpbrains.com/blog/2010/04/26/new-resource-brain-fitness-for-all/


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Saturday, April 24, 2010

Research bytes 4-24-10: Broad factor 1.0 g loadings power issue; domain general mental resource mechanism

Matzke, D. Dolan, C., & Molenaar, D. (in press). The issue of power in the identification of “g” with lower-order factors.  Intelligence.

Abstract
In higher order factor models, general intelligence (g) is often found to correlate perfectly with lower-order common factors, suggesting that g and some well-defined cognitive ability, such as working memory, may be identical. However, the results of studies that addressed the equivalence of g and lower-order factors are inconsistent. We suggest that this inconsistency may partly be attributable to the lack of statistical power to detect the distinctiveness of the two factors. The present study therefore investigated the power to reject the hypothesis that g and a lower-order factor are perfectly correlated using artificial datasets, based on realistic parameter values and on the results of selected publications. The results of the power analyses indicated that power was substantially influenced by the effect size and the number and the reliability of the indicators. The examination of published studies revealed that most case studies that reported a perfect correlation between g and a lower-order factor were underpowered, with power coefficients rarely exceeding 0.30. We conclude the paper by emphasizing the importance of considering power in the context of identifying g with lower-order factors.

Vergauwe, E., Barrouillet, P., & Camos, V. (2010). Do Mental Processes Share a Domain-General Resource? Psychological Science, 21(3), 384-390.

Abstract

What determines success and failure in dual-task situations? Many theories propose that the extent to which two activities can be performed concurrently depends on the nature of the information involved in the activities. In particular, verbal and visuospatial activities are thought to be fueled by distinct resources, so that interference occurs between two verbal activities or two visuospatial activities, but little or no interference occurs between verbal and visuospatial activities. The current study examined trade-offs in four dual-task situations in which participants maintained verbal or visuospatial information while concurrently processing either verbal or visuospatial information. We manipulated the cognitive load of concurrent processing and assessed recall performance in each condition. Results revealed that both verbal and visuospatial recall performance decreased as a direct function of increasing cognitive load, regardless of the nature of the information concurrently processed. The observed trade-offs suggest strongly that verbal and visuospatial activities compete for a common domain-general pool of resources.


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Research Bytes 4-24-10: WISC-IV & TBI and WAIS-IV factor study research studies

Allen, D. N., Thaler, N. S., Donohue, B., & Mayfield, J. (2010). WISC-IV Profiles in Children With Traumatic Brain Injury: Similarities to and Differences From the WISC-III. Psychological Assessment, 22(1), 57-64.

The Wechsler Intelligence Scale for Children—Fourth Edition (WISC–IV; D. Wechsler, 2003a) is often utilized to assess children with traumatic brain injury (TBI), although little information is available regarding its psychometric properties in these children. The current study examined WISC–IV performance in a sample of 61 children with TBI. As compared to the standardization sample, results indicated that the TBI group exhibited relative deficits on all subtest and index scores, with the greatest deficits on the Processing Speed Index (PSI) and Coding subtest scores. However, the Perceptual Reasoning Index score was not uniquely sensitive to brain injury, and the Cognitive Processing Index score was less sensitive to TBI than the PSI score. Also, the PSI did not uniquely predict learning and memory abilities, as had been reported in previous studies of the Wechsler Intelligence Scale for Children—Third Edition (WISC–III; D. Wechsler, 1991). The present findings indicate substantive differences between the WISC–III and WISC–IV profiles of children with TBI.


Benson, N., Hulac, D. M., & Kranzler, J. H. (2010). Independent Examination of the Wechsler Adult Intelligence
Scale-Fourth Edition (WAIS-IV): What Does the WAIS-IV Measure? Psychological Assessment, 22(1),
121-130.

Published empirical evidence for the Wechsler Adult Intelligence Scale—Fourth Edition (WAIS–IV) does not address some essential questions pertaining to the applied practice of intellectual assessment. In this study, the structure and cross-age invariance of the latest WAIS–IV revision were examined to (a) elucidate the nature of the constructs measured and (b) determine whether the same constructs are measured across ages. Results suggest that a Cattell–Horn–Carroll (CHC)–inspired structure provides a better description of test performance than the published scoring structure does. Broad CHC abilities measured by the WAIS–IV include crystallized ability (Gc), fluid reasoning (Gf), visual processing (Gv), short-term memory (Gsm), and processing speed (Gs), although some of these abilities are measured more comprehensively than are others. Additionally, the WAIS–IV provides a measure of quantitative reasoning (QR). Results also suggest a lack of cross-age invariance resulting from age-related differences in factor loadings. Formulas for calculating CHC indexes and suggestions for interpretation are provided.


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Journal of Psych Assessment: New editor focus on measurement



Kudos to Cecil Reynolds.  I like the new emphasis on basic measurement for the journal.

Reynolds, C. (2010).  Measurement and Assessment:  An Editorial View.  Psychological Assessment, 22(1), 1-4

If a thing exists, it can be measured. Measurement is a central component of assessment if we believe that fear, anxiety, intelligence, self-esteem, attention, and similar latent variables exist and are useful to us in developing an understanding of the human condition and leading us to ways to improve it. Much of what is published in Psychological Assessment deals with the development and the application of measurement devices of various sorts with the end goal of applications in assessment practice. What is submitted but not published largely deals with the same topics. As the new Editor writing the inaugural editorial, I am focusing on this topic for two major reasons. The first is that the most frequent reason why manuscripts are rejected in the peer-review process for Psychological Assessment and other high-quality journals devoted to clinical or neuropsychological assessment is inadequate attention to sound and high-quality measurement practices. The second reason is my surmise that measurement as a science is no longer taught with the rigor that characterized the earlier years of professional psychology. One of the tasks of Psychological Assessment is to promote a strong science of clinical assessment as practiced throughout professional psychology. To that end, I have attempted to pull together an eclectic group of Associate Editors and Consulting Editors. Our hope is to attract more and better manuscripts that deal with issues focusing on all aspects of clinical assessment

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iPost: The genetics of Williams Syndrome

See link below

http://www.eurekalert.org/pub_releases/2010-04/uouh-sow042210.php

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Friday, April 23, 2010

Is the Mozart effect dead?

Pietschniig, J., Voracek, M., & Formann, A. (in press).  Mozart effect–Shmozart effect: A meta-analysis, Intelligence.

Abstract (emphasis added by blogmaster)
The transient enhancement of performance on spatial tasks in standardized tests after exposure to the first movement “allegro con spirito” of the Mozart sonata for two pianos in D major (KV 448) is referred to as the Mozart effect since its first observation by Rauscher, Shaw, and Ky (1993). These findings turned out to be amazingly hard to replicate, thus leading to an abundance of conflicting results. Sixteen years after initial publication we conduct the so far largest, most comprehensive, and up-to-date meta-analysis (nearly 40 studies, over 3000 subjects), including a diversity of unpublished research papers to finally clarify the scientific record about whether or not a specific Mozart effect exists. We could show that the overall estimated effect is small in size (d = 0.37, 95% CI [0.23, 0.52]) for samples exposed to the Mozart sonata KV 448 and samples that had been exposed to a non-musical stimulus or no stimulus at all preceding spatial task performance. Additionally, calculation of effect sizes for samples exposed to any other musical stimulus and samples exposed to a non-musical stimulus or no stimulus at all yielded effects similar in strength (d = 0.38, 95% CI [0.13, 0.63]), whereas there was a negligible effect between the two music conditions (d = 0.15, 95% CI [0.02, 0.28]). Furthermore, formal tests yielded evidence for confounding publication bias, requiring downward correction of effects. The central finding of the present paper however, is certainly the noticeably higher overall effect in studies performed by Rauscher and colleagues than in studies performed by other researchers, indicating systematically moderating effects of lab affiliation. On the whole, there is little evidence left for a specific, performance-enhancing Mozart effect.

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Research Byte 4-23-10: Flynn effect and black/white IQ score differences

Another Flynn Effect related article, this time focused on the black/white race IQ gap.  This article will be included in the next update to the Flynn Effect on-line archive.....hopefully soon.

Rushton, J. P., & Jensen, A. R. (2010). The rise and fall of the Flynn Effect as a reason to expect a narrowing of the Black White IQ gap. Intelligence, 38(2), 213-219.

Abstract
In this Editorial we correct the false claim that g loadings and inbreeding depression scores correlate with the secular gains in IQ. This claim has been used to render the logic of heritable g a “red herring” and an “absurdity” as an explanation of Black–White differences because secular gains are environmental in origin. In point of fact, while g loadings and inbreeding depression scores on the 11 subtests of the Wechsler Intelligence Scale for Children correlate significantly positively with Black–White differences (0.61 and 0.48, P < 0.001), they correlate significantly negatively (or not at all) with the secular gains (mean r = -0.33, P < 0.001; and 0.13, ns, respectively). Moreover, heritabilities calculated from twins also correlate with the g loadings (r = 0.99, P < 0.001 for the estimated true correlation), providing biological evidence for a true genetic g, as opposed to a mere statistical g. While the secular gains are on g-loaded tests (such as the Wechsler), they are negatively correlated with the most g-loaded components of those tests. Also, the tests lose their g loadedness over time with training, retesting, and familiarity. In an analysis of mathematics and reading scores from tests such as the NAEP and Coleman Report over the last 54 years, we show that there has been no narrowing of the gap in either IQ scores or in educational achievement. From 1954 to 2008, Black 17-year-olds have consistently scored at about the level of White 14-year-olds, yielding IQ equivalents of 85 for 1954, 82 for 1965, 70 for 1975, and 81 for 2008. We conclude that predictions about the Black–White IQ gap narrowing as a result of the secular rise are unsupported. The (mostly heritable) cause of the one is not the (mostly environmental) cause of the other. The Flynn Effect (the secular rise in IQ) is not a Jensen Effect (because it does not occur on g).

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Thursday, April 22, 2010

iPost: Research links SES level to prefrontal cortex brain development

Story at link below

NeuropathLrng: How poverty can affect children's developing brains:

http://bit.ly/9WSF0a

Original Tweet: http://twitter.com/NeuropathLrng/status/12654246727

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Wednesday, April 21, 2010

Beyond CHC: Pushing the edge of the CHC and WJ III envelope--the grand model

The grand unveiling!!!!!!! This is a follow-up to my "Beyond CHC: Pushing the edge of the CHC and WJ III envelop" project. I urge (require, demand?) you to read the prior explanation and view the PPT slides/PDF files previously posted. They provide the necessary background re: the nature of this project.

As a result of all the analysis summarized in the above information, today I'm taking a risk and publishing, without explanation (it would take pages and pages of text) the grand WJ III CHC+ interpretation scheme that I've iterated to. An image of the grand scheme is below.....simply to catch your attention. You can see a much larger and clearer version of the proposed/hypothesized interpretation system by clicking here (PDF file).



I do hope to explain the logic, rationale, data, hypotheses behind the components of this document over time...maybe through a series of blog posts. To wait until I have written everything will simply keep this baby from being born....and, I am anxious to receive feedback.

I hope it makes sense. Please be sure to read the material I mentioned above as it provides the proper context of this proposed interpretative framework. This framework is offered in the spirit of a hypothesized model that is "under construction" and needs further study with proper methods.

I would suggest channeling any discussion to the CHC listserv.

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IQ Test DNA Fingerprints: Comparison of WJ III/BAT III to WJ-R/BAT-R

Here is another of IQ's Corner "IQ Test CHC DNA Fingerprint" test comparison series.  This particular CHC fingerprint figure compares the CHC composition of the respective full scale total composite IQ scores from the WJ III/BAT III and the the earlier version of these batteries....the WJ-R/BAT-R.

Background information regarding the development, use and interpretation of this IQ global IQ score feature can be found at a prior post and in the IQ Test CHC DNA Fingerprint section on the blog side bar.  More can be found at IQ's Corner sister blog...the ICDP blog.

I now present a comparison of the R/III versions of the WJ/BAT batteries as I have seen psych reports where a subject had previously been administered the WJ-R and was later tested with the revised WJ III (in the case of Spanish-speaking individuals, I've seen the BAT-R and the BAT-III---click here for more background information on the Spanish version of the WJ III...the BAT III).  

In the case of the WJ-R/BAT-R, the full scale IQ composite is called the Broad Cognitive Ability (BCA) cluster.  The name was changed in the WJ III/BAT III to General Intellectual Ability (GIA) cluster.  The name change was not cosmetic.  The use of the term "general intellectual ability" in the newest WJ III/BAT III reflects the fact that this global IQ composite score is designed to be the best statistical estimate of the theoretical construct of general intelligence (g) via the use of differential test weights.

Using principal components analysis, a g-factor was extracted from the seven WJ III/BAT III Standard Cognitive battery tests (at each age level), g-factor weights calculated (by age---they shift slightly as a function of age), and the g-weights used to differentially weight the contribution of the seven tests to the composite GIA-Standard cluster score.  The same process was completed for the 14 test GIA-Extended cluster score.  This procedure is explained in detail in the WJ III/BAT III technical manuals/reports and is also briefly summarized in a free on-line Assessment Service Bulletin technical abstract.

In the case of the WJ-R/BAT-R, the respective 7-test BCA-Standard and 14-test BCA-Extended cluster scores are based on the simple arithmetic average of each set of scores, thus resulting in an equally weighted global IQ score.

Thus, differences between the global WJ-R/BAT-R and WJ III/BAT III IQ scores may occur as a function of the respective scores reflecting differential contributions of the broad Gf-Gc abilities as per the CHC theoretical model that underlies the batteries.

Below is the IQ Test CHC DNA Fingerprint comparison of the two respective editions of the WJ-R/BAT-R and WJ III/BAT III.  The weights presented for the WJ III/BAT III are the median (average) weights across all age groups.  The previously referenced ASB (see above) includes a table of the specific weights by age.

[double click on figure to enlarge]

Although the CHC composition of the respective global IQ scores did not change dramatically, there are enough differences by CHC ability to suggest that slightly different global IQ scores may be produced for the same individual depending on whether they took the WJ-R/BAT-R or the WJ III/BAT III (assuming proper administration, scoring, etc.).  Consistent with psychometric intelligence theory (aka., CHC theory), the WJ III/BAT III global IQ scores (GIA-Stnd; GIA-Ext) are more heavily weighted as per a subjects performance on the more g-loaded measures of Gf (fluid intelligence/reasoning), Gc (crystallized intelligence or comprehension-knowledge), and Glr (long-term storage and retrieval).  In contrast, abilities that are less cognitively demanding and more related to perceptual (Gv, Ga), speed (Gs), and short-term memory (Gsm) functioning contribute slightly less to an individuals WJ III/BAT III global IQ GIA score than was the case with the WJ-R/BAT-R.

If significant differences are found when comparing scores from the respective R/III editions of the WJ for an individual, examiners should review the Gf-Gc CHC test/cluster profiles to determine if some (or all) of the score differences might be related to the shift from an equally weighted global IQ score (WJ-R/BAT-R) to a differentially-weighted (WJ III/BAT III) global IQ score.  In theory, an individual could obtain very similar test-level scores on each battery, but because "all scores are not created equal" (in the estimation of general intelligence or g) in the case of the WJ III, a shift in the global GIA IQ scores may occur.

Other IQ Test CHC DNA Fingerprint comparisons can be found by clicking here.  More will be coming in the future.

[Conflict of interest note:  I am a co-author of the WJ III/BAT III]

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