Showing posts with label domain general. Show all posts
Showing posts with label domain general. Show all posts

Wednesday, November 20, 2024

Research Byte: Domain-specific and domain-general skills as predictors of #arithmetic #fluency development—New #WJV will have similar measure—#MagnitudeComparison test

 Domain-specific and domain-general skills as predictors of arithmetic fluency development

Link to PDF appears available at journal page (click here to go directly to PDF)

Abstract

We investigated Norwegian children's (n = 262) development in arithmetic fluency from first to third grade. Children's arithmetic fluency was measured at four time points, domain-specific (i.e., symbolic magnitude processing and number sequences) and domain-general skills (i.e., working memory, rapid naming, non-verbal reasoning, and sustained attention) once in the first grade. Based on a series of growth mixture models, one developmental trajectory best described the data. Multigroup latent growth curve models showed that girls and boys developed similarly in their arithmetic fluency over time. Symbolic magnitude processing and number sequence skills predicted both initial level and growth in arithmetic fluency, and working memory predicted only initial level, similarly for boys and girls. Mother's education level predicted the initial level of arithmetic fluency for boys, and rapid naming predicted growth for girls. Our findings highlight the role of domain-specific skills in the development of arithmetic fluency.

As an FYI, the forthcoming WJ V (Q1, 2025) has a new test (Magnitude Comparison) that measures abilities similar to the symbolic magnitude processing ability measure used in this study (COI - I’m a coauthor of the WJ V)


https://www.sciencedirect.com/science/article/pii/S104160802400178X

Tuesday, April 27, 2021

Developmental change in the influence of domain-general abilities and domain-specific knowledge on math




Citation

Geary, D. C., Nicholas, A., Li, Y., & Sun, J. (2017). Developmental change in the influence of domain-general abilities and domain-specific knowledge on mathematics achievement: An eight-year longitudinal study. Journal of Educational Psychology, 109(5), 680–693. https://doi.org/10.1037/edu0000159

Abstract

The contributions of domain-general abilities and domain-specific knowledge to subsequent mathematics achievement were longitudinally assessed (n = 167) through 8th grade. First grade intelligence and working memory and prior grade reading achievement indexed domain-general effects, and domain-specific effects were indexed by prior grade mathematics achievement and mathematical cognition measures of prior grade number knowledge, addition skills, and fraction knowledge. Use of functional data analysis enabled grade-by-grade estimation of overall domain-general and domain-specific effects on subsequent mathematics achievement, the relative importance of individual domain-general and domain-specific variables on this achievement, and linear and nonlinear across-grade estimates of these effects. The overall importance of domain-general abilities for subsequent achievement was stable across grades, with working memory emerging as the most important domain-general ability in later grades. The importance of prior mathematical competencies on subsequent mathematics achievement increased across grades, with number knowledge and arithmetic skills critical in all grades and fraction knowledge in later grades. Overall, domain-general abilities were more important than domain-specific knowledge for mathematics learning in early grades but general abilities and domain-specific knowledge were equally important in later grades. (PsycINFO Database Record (c) 2017 APA, all rights reserved)






Friday, February 26, 2016

White matter matters! An oldie-but-goodie (OBG) post

White matter, in contrast to the grey squiggly mass (the cerebrum) that most people associate with the human brain, was for many years the research step-child to the cerebrum. That is no more. White matter, which has been called the brain's subway, super information system, or interstate highway communication system, now has a glass slipper. Research during the past decade has implicated white matter as performing the critical task of connecting and synchronizing different brain regions or networks so they can perform a wide variety of complex human cognitive or motor behaviors. The white matter system is considered the communication backbone system for the flow of information in the brain. Of particular interest (to me) is the parietal-frontal network, which is implicated as central to abstract human intelligence, fluid intelligence (Gf), working memory and attentional control (see prior posts re: the P-FIT model).

In a MindHub white paper I hypothesized that increasing white matter tract integrity may be a key mechanism behind the efficacy of the Interactive Metronome neuro-timing intervention (see figure below). I have gone as far as suggesting that the efficacy of many brain training/fitness programs may stem from a common domain-general effect--improving communication between and within various brain network(s) via more efficient white matter tract speed and communication. [Click on image to enlarge]
White matter integrity or dysfunction as been implicated in a wide variety of cognitive disorders or abilities, including cognitive control, math and intellectual giftedness, fluid intelligence or reasoning, processing speed, reading, decrease in cognitive functioning, meditation, working memory, vascular cognitive impairment, ADHD, autism, and cognitve and language maturation in infants. A sampling of recent white matter research article abstracts I have accumulated can be found by clicking here.
White matter matters!


Monday, January 11, 2016

Your brain is a time machine: An oldie-but-goodie (OBG) post

This is an OBG (oldie-but-goodie) post I originally made on the IM-HOME blog

Time and space are the two fundamental dimensions of our lives. All forms of human behavior require us to process and understand information we receive from our environment in either spatial or temporal patterns. Even though mental timing (temporal processing) research is in a stage of infancy (when compared to spatial processing) important insights regarding the human brain clock have emerged.

Below is a list (albeit incomplete) of some of the major conclusions regarding the human brain clock. The sources for these statements come from my review of the temporal processing and brain clock literature during the past five years. Most of this information has been disseminated at the Brain Clock blog or the Brain Clock Evolving Web of Knowledge (EWOK). The goal of this post is to provide a Readers Digest summary of the major conclusions. This material can serve as a set of "talking points" at your next social event where you can impress your friends and family as you explain why you use the high-tech IM "clapper" (with a cowbell tone no less) either as a provider or as client.

Our brains measure time constantly. It's hard to find any complex human behavior where mental timing is not involved. Timing is required to walk, talk, perform complex movements and coordinate information flow across the brain for complex human thought. Think about moving your arm and hand to grasp a coffee cup. The messages to perform this task originate in your brain, which is not directly connected to your arm, hands and fingers. The ability to perform the necessary motor movements is possible only because the mind and extremities are connected via timing. Precisely timed neural messages connect your brain and extremities. You are a time machine.


Humans are remarkably proficient at internally perceiving and monitoring time to produce precisely timed behaviors and thinking. “We are aware of how long we have been doing a particular thing, how long it has been since we last slept, and how long it will be until lunch or dinner. We are ready, at any moment, to make complex movements requiring muscle coordination with microsecond accuracy, or to decode temporally complex auditory signals in the form of speech or music. Our timing abilities are impressive…” (Lewis & Walsh, 2005, p. 389).

To deal with time, humans have developed multiple timing systems that are active over more than 10 orders of magnitude with various degrees of precision (see figure below from Buhusi & Meck, 2005). These different timing systems can be classified into three general classes (viz., circadian, interval, and millisecond timing), each associated with different behaviors and brain structures and mechanisms. The fastest timing system (millisecond or interval timing) is involved in a numerous human behaviors such as speech and language, music perception and production, coordinated motor behaviors, attention, and thinking. This fast interval timing system is the most important timing system for understanding and diagnosing clinical disorders and for developing and evaluating effective treatment interventions for educational and rehabilitation settings. It is this timing system, and the relevant research, that is relevant to understanding Interactive Metronome. (Note.  See my conflict of interest statement at this blog.  I have an ongoing consulting relationship with IM).



Although there is consensus that the human brain contains some kind of clock, the jury is still out on the exact brain mechanisms and locations. It is also not clear whether there is one functional master clock or a series of clocks deployed in different brain areas. The areas of the brain most consistently associated with milli-second interval mental timing are the cerebellum, anterior cingulate, basal ganglia, the dorsolateral prefrontal cortex, right parietal cortex, motor cortex, and the frontal-striatal loop. That is a mouthful of technical brain terms. But, if you can memorize them and have them roll of your tongue with ease you will “shock and awe” your family and friends. Most of these areas of the brain are illustrated below. Now, if you really want to demonstrate your expertise, get your own illustrated “brain-in-a-pocket”. These images were generated by the free 3D Brain app available for your iPhone or iPad. Even cooler is the fact that you can rotate the images with your finger! You can give neuroanatomy lessons anytime…anywhere!



Research suggests that mental interval timing is controlled by two sub-systems. The automatic timing system processes discrete-event (discontinuous) timing in milliseconds. The cognitively-controlled timing system deals with continuous-event timing (in seconds) that requires controlled attention and working memory. Both systems are likely involved in IM. For example, the synchronized clapping requires motor planning and execution, functions most associated with the automatic timing system. However, the cognitive aspects of IM (focus, controlled attention, executive functions) invoke the cognitively controlled timing system. Aren’t these brain images awesome?



The dominant model in the brain clock research literature is that of a centralized internal clock that functions as per the pacemaker–accumulator model. Briefly, this is a model where an oscillator beating at a fixed frequency generates tics that are detected by a counter. For now I am just going to tease you with an image of this model. You can read more about this model at the Brain Clock blog.


Research suggests that the brain mechanisms underlying mental timing can be fine-tuned (modified) via experience and environmental manipulation. Modifiability of mental interval timing and subsequent transfer suggest a domain-general timing mechanism that, if harnessed via appropriately designed timing-based interventions, may improve human performance in a number of important cognitive and motor domains.

Wednesday, July 18, 2012

CHC COG-ACH Relations: Visual-graphic summary

In preparation of a manuscript, I have developed the following visual-graphic summary of Established Narrow CHC-->Rdg/Math Ach Relations Abridged Summary.  It is based on the review of McGrew & Wendling (2010).  Click on image to enlarge.


Monday, September 12, 2011

General developmental mechanism explains growth across most personal competence domains?

I believe that this is a very intriguing and potentially important research study for all involved in research or the assessment of human development, and those working in school and learning situations in general. The study suggests a very general domain-general set of mechanisms may account for growth and change across different broad domains of personal competence. I have made it an "IQ's Reading" post (click here for explanation). The annotated article can be found here. I found it a very thought provoking article that connects some research and theoretical dots across diverse academic disciplines that study human cognitive and physical/motor development. See comments in post for more thoughts.

Double click on images to enlarge.






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Wednesday, May 18, 2011

Research bytes: Spatial and verbal working memory are different constructs




Hale, S., Rose, N. S., Myerson, J., Strube, M. J., Sommers, M., TyeMurray, N., & Spehar, B. (2011). The Structure of Working Memory Abilities Across the Adult Life Span. Psychology and Aging, 26(1), 92-110.

(italics emphasis added by blogmaster)

The present study addresses three questions regarding age differences in working memory: (1) whether performance on complex span tasks decreases as a function of age at a faster rate than performance on simple span tasks; (2) whether spatial working memory decreases at a faster rate than verbal working memory; and (3) whether the structure of working memory abilities is different for different age groups. Adults, ages 20–89 (n = 388), performed three simple and three complex verbal span tasks and three simple and three complex spatial memory tasks. Performance on the spatial tasks decreased at faster rates as a function of age than performance on the verbal tasks, but within each domain, performance on complex and simple span tasks decreased at the same rates. Confirmatory factor analyses revealed that domain-differentiated models yielded better fits than models involving domain-general constructs, providing further evidence of the need to distinguish verbal and spatial working memory abilities. Regardless of which domain-differentiated model was examined, and despite the faster rates of decrease in the spatial domain, age group comparisons revealed that the factor structure of working memory abilities was highly similar in younger and older adults and showed no evidence of age-related dedifferentiation.


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Friday, May 13, 2011

CHC narrow ability assessment with the WJ III battery: IAP Applied Psychometrics 101 #12

I am pleased to release the following working paper:  IAP Applied Psychometrics 101 #12:  CHC Narrow Ability Assessment with the WJ III Battery.

Below is the abstract:

  • Recently, a special issue of Psychology in the Schools (PITS) “took stock” of the past 20 years of CHC research (Newton & McGrew, 2010). In this special issue McGrew and Wendling (2010) reviewed the extant CHC cognitive-achievement relations research and concluded that “[T]he primary action is at the narrow ability level” (p, 669).   McGrew and Wendling concluded if the goal is to better understand, assess, and develop interventions for subareas of reading (e.g., phonics, comprehension) and math (e.g., calculation, problem-solving), narrow is better.  Broad (stratum II) CHC abilities (e.g., Fluid Reasoning-Gf; Auditory Processing-Ga) best predict and explain broad academic domains (e.g., total or broad reading).  However, narrow (stratum I) abilities best predict and explain narrow academic domains (e.g., reading comprehension).
  • The purpose of this working paper is to present a list of (a) WJ III test-author provided norm-based narrow CHC ability clusters and (b) additional clinical narrow clusters (not provided by the test authors in the published WJ III).  A secondary purpose is to list possible supplemental tests or composites from other major intelligence or achievement batteries that might be used to supplement the listed WJ III narrow ability clusters.  

This document resulted from two recent presentations where I summarized contemporary research that investigated the relations between broad and narrow CHC abilities and reading and math achievement.  Audience participants, especially at the Georgia School Psychology Association conference, suggested I needed to develop a summary table of the guts of my WJ III related material.  This report is the promised "deliverable" to those folks.  Thanks school psychologists in Georgia.  The report has some bonus features (e.g., Schenider & McGrew, in press, CHC v2.0 model and definitions--to be published this fall in Flanagan & Harrison's 3rd Edition of Contemporary Intellectual Assessment).  This bonus feature is an abridged set of definitions and the reader is encouraged to read the complete chapter when published for much more detail.

Feedback is appreciated as this is a work in progress.  I would like any feedback/comments to occur on the CHC listserv (n=1282 and growing), as the allows for a more dynamic exchange of ideas than does the comment feature of the blog platform.

Thanks.  Enjoy.


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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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Friday, August 14, 2009

Brain rhythm treatment efficacy: Can we fine-tune our brain clocks?

Brain rhythm. Got it? Need it? What is it? Can you improve it?

Check out new IAP Research Report No. 9: The efficacy of rhythm-based (mental timing) treatments with subjects with a variety of clinical disorders: A brief review of theoretical, diagnostic, and treatment research (McGrew & Vega, 2009). at the IQ Brain Clock blog (sister blog to IQs Corner).

Thursday, January 08, 2009

CHC COG-ACH research synthesis project important update 1-8-09

[Double click on image to enlarge]

I'm pleased to announce another update and major revision to the the Cattell - Horn - Carroll (CHC) Cognitive Abilities-Achievement Research Synthesis project, a project first described in a prior post. This is a work "in progress". The purpose of this project is to systematically synthesize the key Cattell-Horn- Carroll (CHC) theory of cognitive abilities designed research studies that have investigated the relations between broad and narrow CHC abilities and school achievement.

The status of the project can be accessed via a clickable MindMap visual-graphic navigational tool (similar to the image above...but "active" and "dyanamic") or via the more traditional web page outline navigational method. You can toggle back and forth between the different navigation methods via the options in the upper right hand corner of the respective home web page.

Feedback is appreciated. I request that feedback be funneled to either the CHC and/or NASP professional listservs, mechanisms that provide for a more dynamic give-and-take exchange of ideas, thoughts, reactions, criticisms, suggestions, etc.

The most significant new revisions/additions/changes are in branches 4 and 6. A subtopic under branch 4 (studies included in the review) now includes the references of all the 19 studies reviewed AND URL links to the actual studies. The most significant revision is the addition of branch 6, which provides access to four summary charts/figures (sample figure is above) that attempt to synthesize the massive amount of coded information in the tabular summary tables (branch 5).

Barb Wendling and I are now going to commence interpretation of these charts/figures (and the tabular summary tables). I wish I had my interpretation, caveats, explanations of surprising findings, etc. written today, but it is going to take some time. To faciliate the process I would LOVE feedback from CHC experts on insights they may glean from a review of the four summary figures. Please discuss any hypotheses, insights, etc. on the CHC and/or NASP listservs.

This project is evolving into a manuscript to be submitted for publication and will also serve as the basis of my mini-skills workshop at NASP re: this research project.

Enjoy.


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Monday, July 14, 2008

CHC narrow abilities related to reading and math slide posted

I just returned from the National School Psychology Neuropsychology conference in Texas. A great conference with a very competent crowd of people to present to.

During my presentation it was brought to my attention that one of my key PPT slides/handouts (Key CHC narrow abilities important for reading and math achievement) on the all-presenter handout/slide CD was difficult to view due to problems with the shading scheme I had used. I promised to make a clean copy available via my blog for the participants. I've now posted three different versions of this slide for download. The formats provided are: PPT slide; JPEG image; PDF file. Take your choice and select whatever looks best for you.

Thanks for your patience. I hope to attend and present at this conference in the future.

Monday, June 09, 2008

Traing working memory increases fluid intelligence (Gf): New research

Training working memory can increase fluid intelligence (Gf). Wow. Hmmmmm?

I've had a number of people forward the following abstract to me. After reading the article I now see why. The article in the Proceedings of the National Academy of Sciences (PNAS) reports that a working memory training intervention produced positive transfer effects in fluid intelligence (Gf). Cognitive ability training research suffers from a paucity of studies that demonstrate positive transfer to other tasks/domains that differ from the training medium. This study also adds additional strong evidence to the link between working memory and Gf.

Cool stuff. A must read. Much has been written about the link between working memory and Gf. Here are some prior related posts touching on the topics of working memory and Gf.

I need to take time to read this study in depth before commenting more. I've only skimmed the abstract at this point in time. Maybe others can read and comment.

Jaeggi, S., Buschkuehl, M., Jonides, J. & Perrig, W. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academic of Sciences, 105 (19), 6829-6833. (click to read)


Abstract
  • Fluid intelligence (Gf) refers to the ability to reason and to solve new problems independently of previously acquired knowledge. Gf is critical for a wide variety of cognitive tasks, and it is considered one of the most important factors in learning. Moreover, Gf is closely related to professional and educational success, especially in complex and demanding environments. Although performance on tests of Gf can be improved through direct practice on the tests themselves, there is no evidence that training on any other regimen yields increased Gf in adults. Furthermore, there is a long history of research into cognitive training showing that, although performance on trained tasks can increase dramatically, transfer of this learning to other tasks remains poor. Here, we present evidence for transfer from training on a demanding working memory task to measures of Gf. This transfer results even though the trained task is entirely different from the intelligence test itself. Furthermore, we demonstrate that the extent of gain in intelligence critically depends on the amount of training: the more training, the more improvement in Gf. That is, the training effect is dosage-dependent. Thus, in contrast to many previous studies, we conclude that it is possible to improve Gf without practicing the testing tasks themselves, opening a wide range of applications.

Friday, February 01, 2008

Part II: Beyond the CHC Tipping Point: Back to the Future

I previously posted an on-line copy of a PPT presentation called "Beyond the CHC Tipping Point: Back to the Future." A revised version of this presentation will serve as a brief introduction to my portion of a NASP workshop (next week in New Orleans), together with my colleagues Barb Wendling and Bard Read, focused on CHC referral-focused domain-specific assessments and instructional implications/interventions based on CHC Theory.

Today I've posted the 2nd half of this presentation. Both presentations, together with the brief descriptions provided at the SlideShare site, are below. Enjoy.

Beyond the CHC Tipping Point: Back to the Future-Part 1: An overview of the CHC (Cattell-Horn-Carroll) theory of intelligence within a historical and "waves of interpretation" context. Presents the idea that CHC has reached the "tipping point" in school psychology..and...this is allowing assessment practitioners to realize past attempts to engage in individual strength and weakness interpretation of CHC based test profiles


Beyond the CHC Tipping Point: Back to the Future-Part 11: This is Part 2 to the previously posted "Part I: Beyond the CHC Tipping Point: Back to the Future" This module presents K. McGrew's recent extant CHC COG-ACH correlates research synthesis (see links under "IQ's Corner Information" section on left-side of blog page), with an eye towards helping school assessment professionals better craft referral-focused domain-specific CHC-based psychoeducational assessments. These two modules collectively will serve as the guts of my NASP workshop presentation in New Orleans on Feb 9, 2008. The slides only provide the skeleton of my presentation. You need to see it "live" to benefit from the expert interpretation, embedded comics, great wit and humor, and grand conclusions..and, more importantly, the links to intervention that will be provided by my co-presenters...Barb Wendling and Barb Read. I'm the "set-up" man for the most important part of the workshop....to be delivered by Barb and Barb.



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Friday, January 11, 2008

Prediction of WJ III reading/math ach by cognitive and language tests

This is an update to my CHC cognitive abilities and reading and math research projects (please visit prior posts for background information).

I recently ran multiple regression analysis in the WJ III norm data [conflict of interest note - I'm a coauthor of the WJ III] where I used the complete set of WJ III cognitive tests (the original WJ III and WJ III Diagnostic Supplement tests) and WJ III oral language tests to predict the WJ III (a) individual reading tests, (b) reading clusters, (c) individual math tests, and (d) math clusters.

Summary tables of the results are now included in the CHC reading and math summary visual-graphic mindmaps posted previously. As noted in the summary documents, I ran step-wise multiple regression models (with backward stepping) at three different age groups in the WJ III norm sample (ages 6-8; 9-13; 14-19). I specified that the models include five predictor tests. Due to possible predictor-criterion contamination, the WJ III Number Series test was excluded from the predictor (IV) pool in the prediction of the Math Reasoning and Quantitative Concepts test (half of the QC test, which is part of the MR cluster, includes number series type items). Finally, the regression models were run on correlation matrices that were calculated in each age group with age variance removed (age-based standard scores were used). The EM missing data algorithm was invoked during the calculation of the matrices. These matrices where then used for the multiple regression analysis.

Descriptions and explanations of the WJ III tests are available via a link in a prior post (first link under "The Results: Phase I" section of prior post)

The summary tables include the final standardized regression weights as well as the coding of tests that, although not ending up in the final regression models, were often close to entering the regression model at some steps (based on inspection of the partial correlations at each step)--call them bridesmaid tests.

This material is being incorporated into a presentation I'm completing as part of a NASP 2008 workshop. The interpretation of these results, combined with a select review and synthesis of CHC- and non-CHC-organized COG-ACH correlates research, will be presented at that workshop, as well as the eventual posting of select PPT slides from that workshop (watch for announcements at this blog).

Please recognize that these results have NOT been peer-reviewed. The results are being presented "as is" with no interpretation. As noted above, interpretation of this material will be part of the NASP workshop. Additionally, this material will be included in the next update to the WJ III Evolving Web of Knowledge (EWOK), which I plan to update prior to (or immediately after) this workshop.

Enjoy running your fingers through the analysis summaries. I hope the posting of this information stimulates hypothesis generation and discussion by other CHC/WJ III scholars and assessment professionals. I urge interested individuals to make comments on the CHC listserv...as the CHC listserv provides for a more dynamic give-and-take learning experience than available via static blog "comment" posts.

You can go directly past go and download the reports at the following two links.


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