Wednesday, January 13, 2010

IQs Corner Recent Literature of Interest 01-13-10

This weeks "recent literature of interest" is now available. Click here to view or 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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Dual-processing models of cognitive/intellectual performance

Dual processing models of cognitive ability have been prevalent in the psychology literature for decades. During the past decade the two different modes of cognitive processing have been referred to as System I and System II. I've always found the dual-system theories of significant interest, but I had a difficult time making sense of a variety of different dual system models and theories.

Thus, I was extremely excited to recently run across a Annual Review of Psychology article on the topic of dual-processing cognitive models by Jonathan Evans (2008).  Below are the highlights of the Evans article together with select summary tables that are excellent sources for integrating the various due process models (the following abstracted statements are from the review-emphasis to Evans statements, as added by the blog master, are designated by italics and/or underlining.).  I particularly like Evans recommendation to refer to these two types of processing as type I and type II and the critical distinction between the involvement of complex working memory. 

[Double click on images below to enlarge for better viewing]

  • Close inspection of the evidence suggests that generic dual-system theory is currently oversimplified and misleading
    • We might be better off talking about type 1 and type 2 processes since all theories seem to contrast fast, automatic, or unconscious processes with those that are slow, effortful, and conscious (Samuels 2006). Such terminology does not commit use to a two-system view. However, it would then be helpful to have some clear basis for this distinction
    • My suggestion is that type 2 processes are those that require access to a single, capacity-limited central working memory resource, while type 1 processes do not require such access. This implies that the core features of type 2 processes are that they are slow, sequential, and capacity limited. The last feature implies also that their functioning will correlate with individual differences in cognitive capacity and be disrupted by concurrent working memory load. Depending upon what else is assumed about working memory, there may be a rationale for describing such type 2 processes as registering in consciousness and having properties associated with executive processes and intentional, higher-order control.
    • If there are indeed multiple kinds of type 1 processes, then it is to be expected that psychologists will have developed different kinds of dual-process theories, which seems to be the case.
    • The problem with this distinction is that type 1 processes then simply refer to any processes in the mind that can operate automatically without occupying working memory space. As already indicated, there are a number of different kinds of such implicit processes.
    • In short, my conclusion is that although dual-process theories enjoy good empirical support in a number of fields of psychology, the superficially attractive notion that they are all related to the same underlying two systems of cognition is probably mistaken, at least in the way that Systems 1 and 2 are being defined in the current literatures.
    • It is perfectly possible that one system operates entirely with type 1 processes and that the other includes a mixture of type 1 and type 2 processes, the latter being linked to the use of working memory, which this system uses—among other resources. Such a proposal could resolve the conflict between evidence for dual systems on the one hand with the proposals of different dual-process theorists on the other.








      Tuesday, January 12, 2010

      iPost: Thanks K. Franklin Flynn Effect archive post

      Thanks to IN THE NEWS blog by Karen Franklin for the positive comments
      re the ICDP Flynn Effect archive project. Story at link below.

      http://forensicpsychologist.blogspot.com/2010/01/new-resource-master-archive-on-flynn.html


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      IAP Applied Psychometric 101 Brief reports section added to blog



      A new section has been added to IQs Corner blog. This section is IAP Applied Psychometrics 101 Briefs. It can be found on the blog sidebar. These are brief reports that are posted at IQs Corner sister blog ICDP. Clicking on the link will take you to the ICDP blog page that contains the link to the brief report.

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      Monday, January 11, 2010

      The Flynn Effect IQ Project: Announcement and request for assistance

      This is a cross post from IQs Corner sister blog--ICDP

      Anyone familiar with Atkins MR/ID death penalty cases knows that the Flynn Effect is a frequently argued measurement issue in these cases.  To facilitate a thorough understanding of the pro- and con- Flynn Effect research literature, a small group of individuals are working together to build a master archive of FE related research articles. 

      The individuals who have contributed their time and effort to this project currently include Dale Watson, Greg Olley, Karen Salekin, Kevin Foley and the blogmaster (Kevin McGrew).  The core of the system is the master reference list of all articles.  This is a project of the Intellectual Competence and Death Penalty blog.


      This on-line archive system is issue neutral.  The systems goal is simple--to put the key Atkins MR/ID death penalty FE articles in one location for use by researchers, expert witnesses in such proceedings, psychologists who engage in intelligence testing, and lawyers and officers of the court.  The system will be updated as new material is published.

      Accessing and navigating the archive

      The archive material can be accessed one of three ways (and you can switch between each navigation mode via the viewing options in the upper right-hand corner of the web pages).

      • If you want to navigate via a more traditional web-page expanding outline format click on the "Home" option.
      • If you want a linear table of contents outline navigation mode click on the Table of Contents option.
      • If you love seeing the "big picture" all at once (using your Gv or visual-spatial skills), start with the blogmasters favorite, the clickable visual-graphic overview map mind map approach and click on the Overview Map option.
      Or mix and match navigational methods to meet your temporary whims.

      Also, please visit the "Requests for input, articles, and new categories" section - the system will improve as a function of reader feedback and contributions.

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      Wednesday, January 06, 2010

      iAbstract: Developmental relations between conceptual and procedural knowledge

      Developmental Psychology - Vol 46, Iss 1
      Developmental Psychology publishes articles that advance knowledge and theory about human development across the life span.

      The developmental relations between conceptual and procedural knowledge: A multimethod approach.

      Tue, Jan 5 2010 7:15 AM 
      by Schneider, Michael; Stern, Elsbeth

      Interactions between conceptual and procedural knowledge influence the development of mathematical competencies. However, after decades of research, these interrelations are still under debate, and empirical results are inconclusive. The authors point out a source of these problems. Different kinds of knowledge and competencies only show up intertwined in behavior, making it hard to measure them validly and independently of each other. A multimethod approach was used to investigate the extent of these problems. A total of 289 fifth and sixth graders' conceptual and procedural knowledge about decimal fractions was measured by 4 common hypothetical measures of each kind of knowledge. Study 1 tested whether treatments affected the 2 groups of measures in consistent ways. Study 2 assessed, across 3 measurement points, whether conceptual and procedural knowledge could be modeled as latent factors underlying the measures. The results reveal substantial problems with the validities of the measures, which might have been present but gone undetected in previous studies. A solution to these problems is essential for theoretical and practical progress in the field. The potential of the multimethod approach for this enterprise is discussed. (PsycINFO Database Record (c) 2009 APA, all rights reserved)



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      iPost: Infants preference for musical structure

      Developmental Psychology - Vol 46, Iss 1
      Developmental Psychology publishes articles that advance knowledge and theory about human development across the life span.

      Infants prefer the musical meter of their own culture: A cross-cultural comparison.

      Tue, Jan 5 2010 7:15 AM 
      by Soley, Gaye; Hannon, Erin E.

      Infants prefer native structures such as familiar faces and languages. Music is a universal human activity containing structures that vary cross-culturally. For example, Western music has temporally regular metric structures, whereas music of the Balkans (e.g., Bulgaria, Macedonia, Turkey) can have both regular and irregular structures. We presented 4- to 8-month-old American and Turkish infants with contrasting melodies to determine whether cultural background would influence their preferences for musical meter. In Experiment 1, American infants preferred Western over Balkan meter, whereas Turkish infants, who were familiar with both Western and Balkan meters, exhibited no preference. Experiments 2 and 3 presented infants with either a Western or Balkan meter paired with an arbitrary rhythm with complex ratios not common to any musical culture. Both Turkish and American infants preferred Western and Balkan meter to an arbitrary meter. Infants' musical preferences appear to be driven by culture-specific experience and a culture-general preference for simplicity. (PsycINFO Database Record (c) 2009 APA, all rights reserved)


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      Tuesday, January 05, 2010

      The Wechsler-like IQ subtest scaled score metric: The potential for misuse, misinterpretation and impact on critical life decisions---draft report in search of feedback




      The following are the first three paragraphs (and a critical figure) of a draft of an IAP Applied Psychometrics 101 Brief Report (#5).  The complete report can be download in PDF format by clicking here.  A web-page version of the complete report can be found by clicking here (note - the web page verision may NOT display two embedded figures....viewing the PDF copy may be necessary)

      I'm providing this initial draft report with the expressed intent of soliciting feedback and comments regarding the accuracy and soundness of my analyses and logic.  I'm looking for critical feedback to improve the report.  This is a draft report that will be revised if comments suggest important changes.  Please read it in the spirit of "tossing out some critical ideas" for reflective analysis and feedback.  Feedback can be sent directly to me (iap@earthlink.net) or could be provided in the form of listserv thread discussions at the NASP and/or CHC listservs.


      I've recently been skimming James Flynn's new book (What is Intelligence:  Beyond the Flynn Effect) to better understand the methodology and interpretation of the Flynn effect. Of particular interest to me (as an applied measurement person) is his analysis of the individual subtest scores from the various Wechsler scales across time. As most psychologists know, Wechsler subtest scaled scores (ss) are on a scale with a mean (M) = 10 and a standard deviation (SD) = 3. The subtest ss range from 1 to 19.  In Appendix 1 of his book, Flynn states "it is customary to score subtests on a scale in which the SD is 3, as opposed to IQ scores which are scaled with SD set at 15. To convert to IQ, just multiply subtest gains by five, as was done to get the IQ gains in the last column."  At first glance, this statement makes it sound as if the transformation of subtest ss to IQ SS is an easy (“just multiply….”; emphasis added by me) and mathematically acceptable procedure without problems. However, on close inspection this transformation has the potential to introduce unknown sources of error into the precision of the transformed SS scores.  It is the goal of this brief technical post to explain the issues involved when making this ss-to- IQ SS conversion.

      The ss 1-19 scale has a long history in the Wechsler batteries. For sample, in Appendix 1 of Measurement of Adult Intelligence (Wechsler, 1944), Wechsler described the steps used to translate subtest raw scores to the new ss metric. The Wechsler batteries have continued this tradition in each new revision, although the methodology and procedures to calculate the ss 1-19 values have become more sophisticated over time.   Although the methods used to develop the Wechsler ss 1-19 scale may have become more sophisticated, the resultant underlying scale for each subtest has not…scores still range from 1-19 (M=10; SD=3).  Also, the most recent Stanford-Binet—5th Edition (SB5; Roid, 2003) and Kaufman Assessment Battery for Children-2nd Edition (KABC-II) have both adopted the same ss 1-19 scale for their respective individual subtests.

      Why is this relatively crude (to be defined below) scale metric still used in some intelligence batteries when other contemporary intelligence batteries provide subtest scale metrics with finer measurement resolution?  For example, the DAS-II (Elliott, 2007) places individual test scores on the T-scale (M=50; SD=10), with scores that range from 10-90.  The WJ III (McGrew & Woodcock, 2001) places all test and composite scores on the standard score (SS) metric associated with full scale and composite scores (M=100; SD=15).  The critical question to be asked is “are there advantages or disadvantages to retaining the historical ss 1-19 scale or, are their real advantages to having individual test scales with finer measurement resolution (DAS-II; WJ III)?”

      ......continued............
      (complete report available at links in first paragraph of this post)

      [Double click on image to enlarge]





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      Saturday, January 02, 2010

      Can doodling prove memory?

      At your next long meeting consider doodling.....

      http://bps-research-digest.blogspot.com/2009/12/what-does-doodle-do-it-boosts-your.html


      Kevin McGrew PhD
      Educational/School Psych.
      IAP (www.iapsych.com)

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      Neuropathology database

      FYI at NEUROSKEPTIC

      http://neuroskeptic.blogspot.com/2009/12/good-news-for-armchair.html


      Kevin McGrew PhD
      Educational/School Psych.
      IAP (www.iapsych.com)

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      Wednesday, December 30, 2009

      WMF Human Cognitive Abilities (HCA) project update: 12-30-09 -- FREE data for secondary analysis!

      The free on-line WMF Human Cognitive Abilities (HCA) archive project was updated today. An overview of the project, with a direct link to the archive, can be found at the Woodcock-Muñoz Foundation web page (click on "Current Woodcock-Muñoz Foundation Human Cognitive Abilities Archive") . Also, an on-line PPT copy of a poster presentation I made at the 2008 (Dec) ISIR conference re: this project can be found by clicking here.

      After a period of inactivity (due to being swamped), I am pleased to announce the following additions and revisions.

      Currently, 115 of Jack Carroll's original correlation matrices (in Excel file format) are now available at the archive. These correlation files can be downloaded for free and can be used for secondary data analysis. Of these 115, 75 also include the original manuscript which provides descriptive information regarding the variables in the correlation matrices. Finally, 59 of the 115 include the correlation matrices, original publication, and Carroll's official EFA results.  We continue to work hard to try to locate copies of old articles, missing files, etc.

      Below are the additions and revisions to the archive for the current update.  The abbreviations used below are those used by Jack Carroll  in his 1993 book. A master index of these abbreviations and associated references can be found at the following link.

      The following are new correlation matrices that are available:
      • DETTOO
      • DEVRO1
      • DUNC11
      • SATT11
      • SAUN03
      • SAUN11
      • SCHE11
      • SCHI01
      • SCHI02
      • SCHI11
      • SCHI12
      • SCHU01
      • SCHU02
      The original manuscript (dissertation) for FAUL11 has now been added to that dataset branch.

      Errors in the variable names for REIN01, REIN02, REIN03, and REIN04 Excel correlation files have been fixed.

      Happy holidays.


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      Neuroethics and Law round up

      As usual, a plethora of interesting story links

      http://kolber.typepad.com/ethics_law_blog/2009/12/pebs-neuroethics-roundup-from-jhu-guest-blogger-2.html

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      Tuesday, December 29, 2009

      iPost: The Edison Brainmeter

      Thanks to MIND HACKS for interesting historical tidbit

      http://www.mindhacks.com/blog/2009/12/the_edison_brainmete.html

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      Monday, December 28, 2009

      Dssertation Dish: Woodcock -- Johnson and KABC-profile research


      Validation of neuropsychological subtypes of learning disabilities by Hiller, Todd R., Ph.D., Ball State University, 2009 , 99 pages; AAT 3379243

      Abstract
      The present study used archival data of individuals given the Woodcock-Johnson Tests of Cognitive Abilities 3 rd Edition and the Woodcock-Johnson Tests of Achievement 3 rd Edition in an effort to define subtypes of LD. The sample included 526 subjects aged 6 years to 18 years old who had a diagnosis of some type of LD. Of these, 22.7% had an additional diagnosis other than LD. It was expected that subtypes similar to Rourke's classification of his nonverbal learning disorder and his basic phonological processing disorder would be found.

      Portions of the battery were used in a latent class cluster analysis in order to determine group patterns of strengths and weaknesses. Using the Lo-Mendell-Rubin test, a 3 solution model was selected. These three groups showed no evidence of patterns of strengths and weaknesses. These groups were best described as a high, middle, and low group, in that the high group had scores that were universally larger than scores from the middle group, which had scores that were universally higher than the low group. The rates of individuals with comorbid disorders varied greatly between the clusters. The high group had the lowest comorbidity rates in the study, with only 6.8%. That is compared to 26.4% of the middle group and 44.8% of the low group.

      These results suggest that clusters found differ more in severity rather than types of LD. Individuals with LD and comorbid disorders are more likely to have more severe deficits.


      Profile analysis of the Kaufman Assessment Battery for Children, Second Edition with African American and Caucasian preschool children by Dale, Brittany Ann, Ph.D., Ball State University, 2009 , 130 pages; AAT 3379238

      Abstract
      The purpose of the present study was to determine if African American and Caucasian preschool children displayed similar patterns of performance among the Cattell-Horn-Carroll (CHC) factors measured by the Kaufman Assessment Battery for Children, Second Edition (KABC-II). Specifically, a profile analysis was conducted to determine if African Americans and Caucasians displayed the same patterns of highs and low and scored at the same level on the KABC-II composites and subtests. Forty-nine African American (mean age = 59.14 months) and 49 Caucasian (mean age = 59.39) preschool children from a Midwestern City were included in the study and were matched on age, sex, and level of parental education. Results of a profile analysis found African American and Caucasian preschool children had a similar pattern of highs and lows and performed at the same level on the CHC broad abilities as measured by the KABC-II. Comparison of the overall mean IQ indicated no significant differences between the two groups. The overall mean difference between groups was 1.47 points, the smallest gap seen in the literature. This finding was inconsistent with previous research indicating a one standard deviation difference in IQ between African Americans and Caucasians. A profile analysis of the KABC-II subtests found the African American and Caucasian groups performed at an overall similar level, but did not show the same pattern of highs and lows. Specifically, Caucasians scored significantly higher than African Americans on the Expressive Vocabulary subtest which measures the CHC narrow ability of Lexical Knowledge.

      Results of this study supported the KABC-II's authors' recommendation to make interpretations at the composite level. When developing hypotheses of an individual's strengths and weaknesses in narrow abilities, clinicians should be cautious when interpreting the Expressive Vocabulary subtest with African Americans. Overall, results of this study supported the use of the KABC-II with African American preschool children. When making assessment decisions, clinicians can be more confident in an unbiased assessment with the KABC-II.

      Future research could further explore the CHC narrow abilities in ethnically diverse populations. Additionally, more research should be conducted with other measures of cognitive ability designed to adhere to the CHC theory, and the appropriateness of those tests with an African American population. Furthermore, future research with the KABC-II could determine if the results of the present study were replicated in other age groups.

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      Wednesday, December 23, 2009

      IQs Corner Recent Literature of Interest 12-23-09

      This weeks "recent literature of interest" is now available. Click here to view or 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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      CHC theory of intelligence and its impact on contemporary intelligence test batteries

      I frequently reference the CHC (Cattell-Horn-Carroll) theory of intelligence and the impact it has had on contemporary intelligence test development.  I realize that not everyone has the time to rummage through all the blog posts I've made regarding CHC theory.  Thus, today I'm posting a brief summary of CHC theory and its impact on applied intelligence test development.  The summary includes hyperlinks to key references, terms, and other readings (for more indepth information). 

      The report can be viewed as a web page or can be downloaded or viewed as a PDF file.

      Enjoy

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      Research Byte 12-23-09: Shared and unshared genetic factors in timed and untimed reading and math abilities


      A factorial analysis of timed and untimed measures of mathematics and reading abilities in school aged twins (Sara A. Hart, Stephen A. Petrill and Lee A. Thompson)  Learning and Individual Differences, In Press, Corrected Proof, Available online 27 October 2009,

      Abstract
      The present study examined the phenotypic and genetic relationship between fluency and non-fluency-based measures of reading and mathematics performance. Participants were drawn from the Western Reserve Reading and Math Project, an ongoing longitudinal twin project of same-sex MZ and DZ twins from Ohio. The present analyses are based on tester-administered measures available from 228 twin pairs (age M = 9.86 years). Measurement models suggested that four factors represent the data, namely Decoding, Fluency, Comprehension, and Math. Subsequent quantitative genetic analyses of these latent factors suggested that a single genetic factor accounted for the covariance among these four latent factors. However, there were also unique genetic effects on Fluency and Math, independent from the common genetic factor. Thus, although there is a significant genetic overlap among different reading and math skills, there may be independent genetic sources of variation related to measures of decoding fluency and mathematics.
      [double click on image to enlarge]




      Comments extracted from article
      Results suggested a four-factor model including reading Decoding, reading Fluency, reading Comprehension, and Math. Further quantitative genetic analysis suggested that a common genetic factor is important to the covariance among phenotypically distinct latent factors (e.g., Plomin & Kovas, 2005). However, Fluency and Math factors were also influenced by unique genetic influences, independent from the general genetic factor.
      Interestingly, the two factors with unique genetic in fluences are the only ones to contain measures of timed performance, or fluency. Previous work has suggested that there are large and significant effects due to heritability on measures of reading fluency (h² = .65–.67; Harlaar, Spinath, Dale, & Plomin, 2005), and mathematics fluency (h² = .63; Hart et al., 2009). It is possible that the fluency components in each of these factors are important for explaining the unique genetic effects on both.
      Notably, there is no genetic overlap between the factors which contain fluency-based measures, outside of the general genetic overlap among all the latent factors. That, as well as the comparison of phenotypic models 4 and 5 in Table 3, suggests that the genetic influences of reading fluency are not the same as the genetic influences of mathematics fluency, although both are strongly independently influenced by genes.
      It is also interesting to note the shared environmental overlap among all the factors. Instruction in this age-group is typically for the skills represented by these factors (e.g., Chall, 1983). This would serve to influence these processes through the shared environment, especially given that for most students in the early elementary years, academic skill exposure and learning are a function of what is taught in school. Moreover, in the case of twins, they also share the same rearing environment. This overlap is of note as it is shared between all mathematics and reading factors, suggesting that whether it is school- and/or family-level influences, there is a common environmental etiology underlying academic difficulties. This can have ramifications in how academic skill-based interventions are conceptualized.
      The math literature sometimes separates math into components of computation and problem solving. Our findings in the current study and others (Petrill & Hart, 2009) suggest that the data were best represented by one latent factor. However, all measures of math are based on the Woodcock–Johnson, which may be serving to make them more similar.
      Related to this issue, although the shared environmental influences on math are higher than those on reading, this difference cannot be directly tested statistically.


      Authors conclusion
      In sum, the results suggest that there are some common genetic and environmental factors that connect reading and mathematics performance. At the same time, there also appear to be independent genetic effects for reading fluency and for mathematics. Although requiring further study, these findings may suggest that the overlap in reading and mathematics performance may be due to both genes and the shared environment whereas the discrepancy between math and reading may be genetically mediated. This has ramifications for our understanding of math and reading difficulties. Independent genetic effects may be serving to make math disability and reading disability distinct, and differentially prevalent. On the other hand, the extent to which they are comorbid in some children, common genes and environments may be affecting the outcomes.

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      Tuesday, December 22, 2009

      State special education definitions of MR/ID

      Thanks to Randy Floyd for sending this article to me.  The article summarizes state eligibility guidelines for MR/ID as promulgated by state education agencies--thus covering the school-age population of students with potential MR/ID and special education services.  State law governing the definition and criteria for Atkin's decisions do not directly correspond with state special education rules, laws, and regulations.

      Bergeron, R., Floyd, R., & Shands, E.  (2008).  States’ Eligibility Guidelines for Mental Retardation: An Update and Consideration of Part Scores and Unreliability of IQs.  Education and Training in Developmental Disabilities, 43(1), 123–131. (click here to view)

      Abstract
      Mental retardation (MR) has traditionally been defined as a disorder in intellectual and adaptive functioning beginning in the developmental period. Guided by a federal definition of MR described in the Individuals with Disabilities Education Act, it is the responsibility of each of the United States to describe eligibility guidelines for special education services. The purpose of this study was to examine eligibility guidelines for MR for the 50 states and the District of Columbia. This study examined the terms used to describe MR, the use of classification levels, the cutoff scores, and the adaptive behavior considerations for each state. In addition, this study examined guidelines for consideration of intelligence test part scores and consideration of the unreliability of IQs through consideration of the standard error of measurement (SEM) or an IQ range. As found in previous studies, results revealed great variation in the specific eligibility guidelines for MR from state to state. The greatest variation appeared to be across the adaptive behavior considerations. Approximately 20% of states (10) recommend consideration of intelligence test part scores, and approximately 39% of states (20) recommend attention to unreliability of IQs through consideration of the SEM or an IQ range.


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