Showing posts with label intelligence. Show all posts
Showing posts with label intelligence. Show all posts

Friday, December 12, 2025

Hamm v Smith intellectual disability SCOTUS Atkins death penalty oral arguments (12-10-25) re multiple IQ scores: #ID #atkins #deathpenalty #IQ #intelligence

 


See prior post regarding Hamm v Smith Atkins ID death penalty case where central issue is how to handle multiple IQ scores.  All briefs are at that prior blog post page.

Oral arguments before the SCOTUS justices occurred this past Wednesday, 12-10-25.  One can download audio file (arguments lasted 2 hours) or transcript of arguments at this link

Monday, August 25, 2025

IQs Corner: What is (and what is not) clinical judgment in intelligence test interpretation?

What is clinical judgment in intelligence testing?  

This term is frequently invoked when psychologists explain or defend their intelligence test interpretations.  Below is a brief explanation I’ve used to describe what it is…and what it is not, based on several sources.  Schalock and Luckasson’s AAIDD Clinical Judgment book (now in a 2014 revised version) is the best single source I have found that addresses this slippery concept in intelligence testing, particularly in the context of a potential diagnosis of intellectual disability (ID)—it is a recommended reading.

—————

Clinical judgment is a process based on solid scientific knowledge and is characterized as being “systematic (i.e., organized, sequential, and logical), formal (i.e., explicit and reasoned), and transparent (i.e., apparent and communicated clearly)” (Schalock & Luckasson, 2005, p.1). The application of clinical judgment in the evaluation of IQ scores in the diagnosis of intellectual disability includes consideration of multiple factors that might influence the accuracy of an assessment of general intellectual ability (APA: DSM-5, 2013).  The “unanimous professional consensus that the diagnosis of intellectual disability requires comprehensive assessment and the application of clinical judgment” (Brief of Amici Curiae American Psychological Association, American Psychiatric Association, American Academy of Psychiatry and the Law, Florida Psychological Association, National Association of Social Workers, and National Association of Social Workers Florida Chapter, in Support of Petitioner; Hall v. Florida; S.Ct., No. 12-10882; 2014; p. 8).

The misuse of clinical judgment in the interpretation of scores from intelligence test batteries should not be used as the basis for “gut instinct” or “seat-of-the-pants” impressions and conclusions of the assessment professional (Macvaugh & Cunningham, 2009), or justification for shortened evaluations, a means to convey stereotypes or prejudices, a substitute for insufficiently explored questions, or an excuse for incomplete testing and missing data (Schalock & Luckasson, 2005). Idiosyncratic methods and intuitive conclusions are not scientifically based and have unknown reliability and validity. 

If clinical judgment interpretations and opinions regarding an individual’s level of general intelligence are based on novel or emerging research-based principles, the assessment professional must document the bases for these new interpretations as well as the limitations of these principles and methods. This requirement is consistent with the Standards for Educational and Psychological Testing Standard 9.4 which states:

When a test is to be used for a purpose for which little or no validity evidence is available, the user is responsible for documenting the rationale for the selection of the test and obtaining evidence of the reliability/precision of the test scores and the validity of the interpretations supporting the use of the scores for this purpose (p. 143).


American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014).  Standards for educational and psychological testing.  Washington, DC:  Author. 

American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders— Fifth Edition. Washington D.C.:  Author. 

Brief of Amici Curiae American Psychological Association, American Psychiatric Association, American Academy of Psychiatry and the Law, Florida Psychological Association, National Association of Social Workers, and National Association of Social Workers Florida Chapter, in Support of Petitioner; Hall v. Florida; S.Ct., No. 12-10882; 2014; p. 8.

MacVaugh, G. S. & Cunningham, M. D. (2009). Atkins v. Virginia: Implications and recommendations for forensic practice.  The Journal of Psychiatry and Law, 37, 131-187.

Schalock, R. L. & Luckasson, R. (2005). Clinical judgment. Washington, DC: American Association on Intellectual and Developmental Disabilities. 

—————

Kevin S. McGrew, PhD.

Educational Psychologist

Director 

Institute for Applied Psychometrics (IAP)

www.theMindHub.com


Saturday, May 19, 2018

The Relation between Intelligence and Adaptive Behavior: A Meta-Analysis 

Very important meta-analysis of AB IQ relation. Primary finding on target with prior informal synthesis by McGrew (2015)

The Relation between Intelligence and Adaptive Behavior: A Meta-Analysis   
 
Ryan M. Alexander 
 
ABSTRACT 
 
Intelligence tests and adaptive behavior scales measure vital aspects of the multidimensional nature of human functioning. Assessment of each is a required component in the diagnosis or identification of intellectual disability, and both are frequently used conjointly in the assessment and identification of other developmental disabilities. The present study investigated the population correlation between intelligence and adaptive behavior using psychometric meta-analysis. The main analysis included 148 samples with 16,468 participants overall. Following correction for sampling error, measurement error, and range departure, analysis resulted in an estimated population correlation of ρ = .51. Moderator analyses indicated that the relation between intelligence and adaptive behavior tended to decrease as IQ increased, was strongest for very young children, and varied by disability type, adaptive measure respondent, and IQ measure used. Additionally, curvilinear regression analysis of adaptive behavior composite scores onto full scale IQ scores from datasets used to report the correlation between the Wechsler Intelligence Scales for Children- Fifth edition and Vineland-II scores in the WISC-V manuals indicated a curvilinear relation—adaptive behavior scores had little relation with IQ scores below 50 (WISC-V scores do not go below 45), from which there was positive relation up until an IQ of approximately 100, at which point and beyond the relation flattened out. Practical implications of varying correlation magnitudes between intelligence and adaptive behavior are discussed (viz., how the size of the correlation affects eligibility rates for intellectual disability).
 
Other Key Findings Reported
 
McGrew (2012) augmented Harrison's data-set and conducted an informal analysis including a total of 60 correlations, describing the distributional characteristics observed in the literature regarding the relation. He concluded that a reasonable estimate of the correlation is approximately .50, but made no attempt to explore factors potentially influencing the strength of the relation.
 
Results from the present study corroborate the conclusions of Harrison (1987) and McGrew (2012) that the IQ/adaptive behavior relation is moderate, indicating distinct yet related constructs. The results showed indeed that the correlation is likely to be stronger at lower IQ levels—a trend that spans the entire ID range, not just the severe range. The estimated true mean population is .51, and study artifacts such as sampling error, measurement error, and range departure resulted in somewhat attenuated findings in individual studies (a difference of about .05 between observed and estimated true correlations overall).
 
 
The present study found the estimated true population mean correlation to be .51, meaning that adaptive behavior and intelligence share 26% common variance. In practical terms, this magnitude of relation suggests that an individual's IQ score and adaptive behavior composite score will not always be commensurate and will frequently diverge, and not by a trivial amount. Using the formula Ŷ = Ȳ + ρ (X - X ̅ ), where Ŷ is the predicted adaptive behavior composite score, Ȳ  is the mean adaptive behavior score in the population, ρ  is the correlation between adaptive behavior and intelligence, X is the observed IQ score for an individual, and X ̅ is the mean IQ score, and accounting for regression to the mean, the predicted adaptive behavior composite score corresponding to an IQ score of 70, given a correlation of .51, would be 85 —a score that is a full standard deviation above an adaptive behavior composite score of 70, the cut score recommended by some entities to meet ID eligibility requirements. With a correlation of .51, and accounting for regression to the mean, an IQ score of 41 would be needed in order to have a predicted adaptive behavior composite score of 70. Considering that approximately 85% of individuals with ID have reported IQ scores between 55 and 70±5 (Heflinger et al., 1987; Reschly, 1981), the eligibility implications, especially for those with less severe intellectual impairment, are alarming. In fact, derived from calculations by Lohman and Korb (2006), only 17% of individuals obtaining an IQ score of 70 or below would be expected to also obtain an adaptive behavior composite score of 70 or below when the correlation between the two is .50. 
 
 
The purpose of this study was to investigate the relation between IQ and adaptive behavior and variables moderating the relation using psychometric meta-analysis. The findings contributed in several ways to the current literature with regard to IQ and adaptive behavior. First, the estimated true mean population correlation between intelligence and adaptive behavior following correction for sampling error, measurement error, and range departure is moderate, indicating that intelligence and adaptive behavior are distinct, yet related, constructs. Second, IQ level has a moderating effect on the relation between IQ and adaptive behavior. The correlation is likely to be stronger at lower IQ levels, and weaker as IQ increases. Third, while not linear, age has an effect on the IQ/adaptive behavior relation. The population correlation is highest for very young children, and lowest for children between the ages of five and 12. Fourth, the magnitude of IQ/adaptive behavior correlations varies by disability type. The correlation is weakest for those without disability, and strongest for very young children with developmental delays. IQ/adaptive behavior correlations for those with ID are comparable to those with autism when not matched on IQ level. Fifth, the IQ/adaptive correlation when parents/caregivers serve as adaptive behavior respondents is comparable to when teachers act as respondents, but direct assessment of adaptive behavior results in a stronger correlation. Sixth, an individual's race does not significantly alter the correlation between IQ and adaptive behavior, but future research should evaluate the influence of race of the rater on adaptive behavior ratings. Seventh, the correlation between IQ and adaptive behavior varies depending on IQ measure used—the population correlation when Stanford-Binet scales are employed is significantly higher than when Wechsler scales are employed. And eighth, the correlation between IQ and adaptive behavior is not significantly different between adaptive behavior composite scores obtained from the Vineland, SIB, and ABAS families of adaptive behavior measures, which are among those that have been deemed appropriate for disability identification. Limitations of this study notwithstanding, it is the first to employ meta-analysis procedures and techniques to examine the correlation between intelligence and adaptive behavior and how moderators alter this relation. The results of this study provide information that can help guide practitioners, researchers, and policy makers with regard to the diagnosis or identification of intellectual and developmental disabilities.


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Friday, March 2, 2018

BB (blatant brag): McGrew CHC 2009 article in Intelligence #1 (2008-2015) and top #10 all time




This was a pleasant surprise. I knew my 2009 Intelligence article was cited frequently but I never knew it was number one from 2008-2015 and it made the top 10 all time list for the journal Intelligence. I believe this is a reflection of the impact the CHC taxonomy has had. This should make my mom proud. Here is a link to the original article.

Bibliometric analysis across eight years 2008–2015 of Intelligence articles: An updating of Wicherts (2009). Article link.

Bryan J. Pesta

Abstract

I update and expand upon Wicherts' (2009) editorial in Intelligence. He reported citation counts of papers pub-lished in this journal from 1977 to 2007. All these papers are now at least a decade old, and many more new articles have been published since Wichert's analysis. An updated study is needed to help (1) quantify the journal's more recent impact on the scientific study of intelligence, and (2) alert researchers and educators to highly-cited articles; especially newer ones. Thus, I conducted a bibliometric analysis of all articles published here from 2008 to 2015. Data sources included both the Web of Science (WOS), and Google Scholar (GS). The eight-year set comprised 619 articles, published by 1897 authors. The average article had 17.0 (WOS), and 32.9 (GS) citations overall (2.75, and 5.33 citations per year, respectively). These metrics compare favorably with those from other psychology journals. In addition, a list of the most prolific authors is provided. Also reported is a list showing many articles in this set with counts greater than one hundred, and an updated top 25 list for the history of this journal.


“Also noteworthy is that nine of the articles in the old list (not shown here) dropped off the new list. Of their replacements, only three of the nine were published within the last decade: Deary, Strand, Smith, and Fernandes (2007); McGrew (2009), and Strenze (2007). The McGrew (2009) paper is again notable. It is the only article in my newer set (2008–2015) to make the all-time list. The paper ranks ninth on the all-time list with 281 citations, just eight years after being published.”


More recent Google Scholar citation info indicates that the article is still going strong from 2016-2017.


Click on images to enlarge.








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Thursday, November 18, 2010

Why the ASVAB should not be used in Dx of MR/ID: IAP Applied Psychometrics 101 # 9 report




I'm pleased to announce the posting of IAP Applied Psychometrics 101 Report No: 9 is now available. In addition to the written text, an appendix includes a dozen figures intended to help readers understand the fundamental and important difference between intelligence and aptitude batteries.

The Armed Services Vocational Aptitude Battery (ASVAB): Why it should not be used to in the determination of a diagnosis of mental retardation / intellectual disability Click here to access (due to the figures it is relatively large...weighing in at 7+ MB)

Abstract

ASVAB scores are often incorrectly interpreted as a measure of general intellectual functioning in the context of determining if a person is an individual with (or without) mental retardation (MR) / intellectual disability (ID). The ASVAB is an aptitude battery and not an intelligence test battery. Although the differentiation between aptitude and intelligence test batteries measures may (at times) sound fuzzy, the distinction between the two is critically important, particularly regarding how the different respective batteries are designed, the abilities they each measure, and how the resultant scores should be validly interpreted. The aptitude -intelligence test battery distinction is clearly defined in psychological measurement fields. Although aptitude and intelligence batteries often measure some overlapping abilities, the ASVAB-as-an-aptitude measure is often confused with the incorrect interpretation of the ASVAB-as-IQ (general intelligence) measure. This report explains the distinction.

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Wednesday, February 24, 2010

Contemporary IQ theory and testing: FYI post at IQ's Corner

For any readers of this blog that are very interested in the contemporary CHC theory of intelligence and it's measurement via the WJ III battery, you may find a new post at ICDP's sister blog (IQ's Corner) of interest.  Click here.

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Wednesday, February 10, 2010

Dissertation dish: WISC-IV and WAIS-IV research dissertations during last 5 years

I ran a search of the ProQuest Digital Dissertation Database in search of studies involving the most recent versions of the WAIS-IV and WISC-IV.  I found nothing for the WAIS-IV but did find the following for the WISC-IV.  Click here for a PDF file that also includes the abstracts.

Adolescents with attention deficit/hyperactivity disorder: WISC-IV working memory and processing speed indices
Largotta, Danielle.  Proquest Dissertations And Theses 2009.  Section 0287, Part 0633 71 pages; [Ph.D. dissertation].United States -- New Jersey: Fairleigh Dickinson University; 2009. Publication Number: AAT 3371366.   

Examining the relationship between the WISC-IV, the OLSAT-7, and the EQAO achievement test
Duncan, Amanda Lynn.  Proquest Dissertations And Theses 2009.  Section 1100, Part 0632 81 pages; [M.A. dissertation].Canada: Laurentian University (Canada); 2009. Publication Number: AAT MR48862.

The relationship between visual-spatial reasoning ability and math and geometry problem-solving
Markey, Sean M..  Proquest Dissertations And Theses 2009.  Section 0950, Part 0633 75 pages; [Ed.D. dissertation].United States -- Massachusetts: American International College; 2009. Publication Number: AAT 3385692.   

The relationship between executive functioning and attention in a clinically referred pediatric sample
Hines, Lindsay.  Proquest Dissertations And Theses 2009.  Section 1191, Part 0622 89 pages; [Ph.D. dissertation].United States -- Florida: Nova Southeastern University; 2009. Publication Number: AAT 3368971.   

The value of IQ scores in detecting reading patterns in younger and older elementary aged children referred for learning difficulties
Herman, Gayle Striar.  Proquest Dissertations And Theses 2009.  Section 0483, Part 0633 227 pages; [Psy.D. dissertation].United States -- New York: Pace University; 2009. Publication Number: AAT 3358196.

Validation of abbreviated forms of the Wechsler Intelligence Scale for Children---Fourth Edition specific for mentally retarded & low functioning populations
Kurtyka, Jonathan R..  Proquest Dissertations And Theses 2009.  Section 0287, Part 0622 104 pages; [Ph.D. dissertation].United States -- New Jersey: Fairleigh Dickinson University; 2009. Publication Number: AAT 3365022.

An examination of the effects of stimulant medication on the IQ test performance of children with AD/HD
Adams, Jennifer S..  Proquest Dissertations And Theses 2008.  Section 0154, Part 0622 118 pages; [Ph.D. dissertation].United States -- North Carolina: The University of North Carolina at Greensboro; 2008. Publication Number: AAT 3338759.   

Cerebral asymmetry, working memory, and verbal-performance IQ differences, as predictors of disruptive behavior levels among child and adolescent psychiatric patients
Yokoyama, Youko.  Proquest Dissertations And Theses 2008.  Section 1435, Part 0622 119 pages; [Ph.D. dissertation].United States -- California: Alliant International University, Fresno; 2008. Publication Number: AAT 3335272.

Evaluation of attention and executive control within a model of Gf-Gc cognitive functioning
Scheller, Adam C..  Proquest Dissertations And Theses 2008.  Section 0067, Part 0632 121 pages; [Ph.D. dissertation].United States -- Pennsylvania: Duquesne University; 2008. Publication Number: AAT 3322182.

Executive functioning in the presence of sleep disordered breathing
Sutton, Amy M..  Proquest Dissertations And Theses 2008.  Section 0079, Part 0622 85 pages; [Ph.D. dissertation].United States -- Georgia: Georgia State University; 2008. Publication Number: AAT 3301012.

Maximizing resources to gain information about clients: Profile analysis, Configural Frequency Analysis, and the WISC-IV
Wakkinen, Howard B..  Proquest Dissertations And Theses 2008.  Section 0161, Part 0633 190 pages; [Ph.D. dissertation].United States -- Colorado: University of Northern Colorado; 2008. Publication Number: AAT 3322469.   

Resilience, social competence, and intelligence in children
Sanders, Angela C..  Proquest Dissertations And Theses 2008.  Section 1009, Part 0622  [Psy.D. dissertation].United States -- Wisconsin: Wisconsin School of Professional Psychology, Inc.; 2008. Publication Number: AAT 0820405.

The relationship between aspects of cognitive functioning and academic skills in a clinically referred population
Garcia, Jessica.  Proquest Dissertations And Theses 2008.  Section 1191, Part 0622 86 pages; [Ph.D. dissertation].United States -- Florida: Nova Southeastern University; 2008. Publication Number: AAT 3325542.   

The validation of a measure of competency in the use of psychological assessment in career counseling: A Piagetian framework
Etheridge, Roy L..  Proquest Dissertations And Theses 2008.  Section 0071, Part 0519 116 pages; [Ph.D. dissertation].United States -- Florida: The Florida State University; 2008. Publication Number: AAT 3340711.

Visual-spatial processing and mathematics achievement: The predictive ability of the visual-spatial measures of the Stanford-Binet intelligence scales, Fifth Edition and the Wechsler Intelligence Scale for Children-Fourth Edition
Clifford, Eldon.  Proquest Dissertations And Theses 2008.  Section 0203, Part 0525 195 pages; [Ph.D. dissertation].United States -- South Dakota: University of South Dakota; 2008. Publication Number: AAT 3351188.   

A preliminary study of WISC-IV and WAIS-III IQ scores for students with extremely low cognitive functioning
Bresnahan, Joseph A..  Proquest Dissertations And Theses 2007.  Section 0287, Part 0529 68 pages; [Psy.D. dissertation].United States -- New Jersey: Fairleigh Dickinson University; 2007. Publication Number: AAT 3284746.

Cognitive processing in children and adolescents with Fetal Alcohol Spectrum Disorder: Assessing alternative measures in predicting adaptive behavior
Odishaw, Janine Danielle.  Proquest Dissertations And Theses 2007.  Section 0351, Part 0622 186 pages; [Ph.D. dissertation].Canada: University of Alberta (Canada); 2007. Publication Number: AAT NR33040.   

Cognitive deficits associated with childhood depression: Patterns of performance on the Wechsler Intelligence Scale for Children: Fourth Edition
Sweitzer, Shannon Taich.  Proquest Dissertations And Theses 2007.  Section 0225, Part 0622 85 pages; [Ph.D. dissertation].United States -- Pennsylvania: Temple University; 2007. Publication Number: AAT 3268215.

Cognitive profiles of children with attention-deficit/hyperactivity disorder
Schwebach, Adam J..  Proquest Dissertations And Theses 2007.  Section 0240, Part 0622 91 pages; [Ph.D. dissertation].United States -- Utah: The University of Utah; 2007. Publication Number: AAT 3255572.   

Comparative study of the Working Memory Scales of the WISC-IV and SB5 in referred students
Abbott, Erica N..  Proquest Dissertations And Theses 2007.  Section 0817, Part 0525 31 pages; [Ed.S. dissertation].United States -- West Virginia: Marshall University; 2007. Publication Number: AAT 1448545.

Empirically supported interpretation of the WISC-IV: A commonality analysis approach
Underwood, Jennifer E..  Proquest Dissertations And Theses 2007.  Section 0543, Part 0288 98 pages; [Ph.D. dissertation].United States -- Minnesota: Walden University; 2007. Publication Number: AAT 3288764.

Estimation of premorbid intellectual abilities in children with traumatic brain injury
Malec, Tara.  Proquest Dissertations And Theses 2007.  Section 1351, Part 0622 83 pages; [Ph.D. dissertation].United States -- Minnesota: Capella University; 2007. Publication Number: AAT 3263170.   

Existing practice and proposed changes in cognitive assessment of Utah students identified as deaf and hard of hearing
Voorhies, Leah.  Proquest Dissertations And Theses 2007.  Section 0022, Part 0288 79 pages; [Ph.D. dissertation].United States -- Utah: Brigham Young University; 2007. Publication Number: AAT 3293984.   

Gender differences for children and adults in cognitive, academic, visual-motor, emotional and behavioural functioning in a clinic-referred population
Gowers, Aspen.  Proquest Dissertations And Theses 2007.  Section 0351, Part 0519 163 pages; [M.Ed. dissertation].Canada: University of Alberta (Canada); 2007. Publication Number: AAT MR29905.   

Neuropsychological and behavioral correlates of prenatal cocaine exposure in boys with severe psychopathology
Wagreich, Michele.  Proquest Dissertations And Theses 2007.  Section 0198, Part 0317 124 pages; [Ph.D. dissertation].United States -- New York: Long Island University, The Brooklyn Center; 2007. Publication Number: AAT 3285797.   

The impact of relaxation training on cognition and academic ability
Fernandez, Miguel Richardo.  Proquest Dissertations And Theses 2007.  Section 1443, Part 0622 90 pages; [Ph.D. dissertation].United States -- Arizona: Northcentral University; 2007. Publication Number: AAT 3252087.   

The psychometric profile of adolescent Attention Deficit Hyperactivity Disorder
Sherlin, Leslie H..  Proquest Dissertations And Theses 2007.  Section 1351, Part 0620 69 pages; [Ph.D. dissertation].United States -- Minnesota: Capella University; 2007. Publication Number: AAT 3288699.

Transfer of learning in children with fetal alcohol spectrum disorder
McInerney, Robert John.  Proquest Dissertations And Theses 2007.  Section 0244, Part 0622 121 pages; [Ph.D. dissertation].Canada: University of Victoria (Canada); 2007. Publication Number: AAT NR28286.   

A comparison of the WISC-IV and COMIT results and the influence of intelligence, age, and gender on the COMIT performance scores
Bailey, Craig O..  Proquest Dissertations And Theses 2006.  Section 1351, Part 0632 81 pages; [Ph.D. dissertation].United States -- Minnesota: Capella University; 2006. Publication Number: AAT 3199316.   

Comparison of the Kaufman Brief Intelligence Test (K-BIT) and the Wechsler scale for children (WISC-IV) with referred students
York, Jennifer.  Proquest Dissertations And Theses 2006.  Section 0817, Part 0622 16 pages; [Ed.S. dissertation].United States -- West Virginia: Marshall University; 2006. Publication Number: AAT 1434510.

Correlations between the WISC-IV, SB: V, and the WJ-III Tests of achievement. Which has a better relationship with reading achievement?
Campbell, Krystal.  Proquest Dissertations And Theses 2006.  Section 0817, Part 0288 17 pages; [Ed.S. dissertation].United States -- West Virginia: Marshall University; 2006. Publication Number: AAT 1434477.

Is the GAI a good short form of the WISC-IV?
Scott, Kimberly A..  Proquest Dissertations And Theses 2006.  Section 0817, Part 0633 16 pages; [Ed.S. dissertation].United States -- West Virginia: Marshall University; 2006. Publication Number: AAT 1434505.

Social Stories: Mechanisms of effectiveness in increasing social skills, social skill comprehension, generalization and maintenance of newly acquired skills in school-aged children diagnosed with autism
Quirmbach, Linda Melissa.  Proquest Dissertations And Theses 2006.  Section 1389, Part 0620 260 pages; [Ph.D. dissertation].United States -- California: Alliant International University, San Diego; 2006. Publication Number: AAT 3227685.

The Test of Auditory Processing Skills-Third Edition (TAPS-3): Validity analyses and reconceptualization based on the Cattell-Horn-Carroll model of cognitive abilities
Edwards, Kellie Murphy.  Proquest Dissertations And Theses 2006.  Section 0012, Part 0622 84 pages; [Ph.D. dissertation].United States -- Alabama: Auburn University; 2006. Publication Number: AAT 3245465.

The identification of gifted students with spatial strengths: An exploratory study
Mann, Rebecca Lyn.  Proquest Dissertations And Theses 2005.  Section 0056, Part 0529 84 pages; [Ph.D. dissertation].United States -- Connecticut: The University of Connecticut; 2005. Publication Number: AAT 3180228.

Validity of WISC-IV and CTONI: Interpretation of IQ scores for students classified educable mentally disabled
Launey, Kathryn.  Proquest Dissertations And Theses 2005.  Section 0543, Part 0632 118 pages; [Ph.D. dissertation].United States -- Minnesota: Walden University; 2005. Publication Number: AAT 3169043.

Adolescents with attention deficit/hyperactivity disorder: WISC-IV working memory and processing speed indices
Largotta, Danielle.  Proquest Dissertations And Theses 2009.  Section 0287, Part 0633 71 pages; [Ph.D. dissertation].United States -- New Jersey: Fairleigh Dickinson University; 2009. Publication Number: AAT 3371366.

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Sunday, January 31, 2010

Intellectual heterogeneity of MR/ID as evidence against AAIDD "stuck on g" green manual: Even in cleary genetic-based syndromes (Williams Syndrome)

In the last in my series of posts re: concerns I have with the AAIDD 11th Edition ID definition and classification manual, one  point I raised (re: my concern for the AAIDD "stuck on g" position) was the fact that individuals with ID/MR should not be stereotyped as having a single type of cognitive disability (simply poor g---which also implies, for many, a "flat profile" of cognitive abilities). 

Although not so stated in the AAIDD manual, the elevation of general intelligence to such high status, combined with statements that current intelligence measures are not available to reliably and validly assess multiple cognitive abilities (a statement that is simply wrong--see PPT show link in last post in series), implicitly has the potential to convey this stereotype.  I argued that individuals with ID/MR show just as much heterogeneity in profiles of cognitive abilities as individuals without ID/MR.

This past week a colleague reminded me of one article that makes my point clear.  Within the field of ID/MR, there are a number of rare genetic-based disorders.  Such genetically-based disorders typically result in a greater degree of similarity (homogeneity) among individuals with the condition.  Williams syndrome (WS) is one such ID/MR disorder.  Of course, individuals with WS are not those being evaluated in typical Atkins death penalty cases, but the common assumption and lore is that WS individuals show a "syndrome-specific pattern of cognitive strengths/weaknesses"----high verbal abilities and much lower visual-spatial abilities.

I would argue, as have others, that this WS syndrome-specific cognitive stereotype is largely due to the fact that historically MR/ID researchers only had the V/P organized Wechsler batteries as their primary IQ battery...and that the "profile" may be due to this research being constrained by batteries that did not validly measure a greater breadth of cognitive functioning.  This is not a criticism of the past research, as researchers had limited theories of intelligence and measures of constructs from which to work.  However, now that CHC theory has emerged as the consensus psychometric model of cognitive abilities and, more importantly, there are a significant number of well-standardized and psychometrically sound IQ batteries of multiple cognitive abilities, I'm not surprised that a syndrome with a strong genetic core, which typically results in more within-group similarity, when measured by more contemporary CHC-based IQ batteries display considerable variability/heterogeneity in patterns of cognitive abilities. 

Below is the abstract for  2005 study that reported that WS individuals do NOT display the classic and historical syndrome-specific pattern of cognitive strengths and weaknesses when measured with a more contemporary CHC-based cognitive battery (WJ-R:  conflict of interest note--I am a coauthor of the next edition..the WJ III).

This study clearly suggests that even a population of individuals with a shared genetic causal mechanism display significant individual differences in patterns of cognitive abilities.  If this is found in ID/MR populations with a strong shared genetic causal mechanism, one would be hard-pressed to argue that such variability does not exist for more milder forms of ID/MR and the general population.

My point (again)---I'm very concerned that the AAIDD 11th Edition ID manual's "stuck on g" position is out of synch with contemporary intelligence theory and measurement and has the potential to cause serious harm when potentially life-altering decisions are made on the basis of a single g-based composite IQ scores that ignores the heterogeneity of human cognitive abilities across the ability spectrum and different disorders.

Porter, M. A. & Coltheart, M.  Cognitive Heterogeneity in Williams Syndrome.  Developmental Neuropsychology, 27 (2), 275-306. (click here to view articlehttp://www.iapsych.com/articles/porter2005.pdf


Abstract
This study used the Woodcock-Johnson Tests of Cognitive Ability-Revised to investigate a wide range of cognitive abilities in people with Williams syndrome (WS). It involved a comparatively large sample of 31 people with WS, but took a case-series approach. The study addressed the widespread claims of a characteristic "WS cognitive profile" by looking for heterogeneity rather than homogeneity. People with WS showed a variety of preserved (significantly above mental age [MA]), expected (at MA), and significantly impaired (significantly below MA) levels of functioning. Such results provide clear evidence for heterogeneity in cognitive functions within WS. We found the most homogeneity on a test of phonological processing and a test of phonological short-term memory, with half of the WS sample performing at MA levels on these tests. Interestingly, no WS individual showed a weakness on a test of nonverbal reasoning, and only one WS individual showed a weakness on a test of verbal comprehension. In addition, we found that strengths on analysis-synthesis and verbal analogies occurred only for WS individuals with an MA less than 5.5 years (our sample median MA); people with an MA greater than 5.5 years performed at MA level on these 2 tests. Results also provided preliminary evidence for distinct subgroups of WS people based on their cognitive strengths and weaknesses on a broad range of cognitive functions. On the basis of the findings, caution should be made in declaring a single cognitive profile that is characteristic of all individuals with WS. Just as there is heterogeneity in genetic and physical anomalies within WS, not all WS individuals share the same cognitive strengths and weaknesses. Also, not all WS individuals show the profile of a strength in verbal abilities and a weakness in spatial functions.

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Tuesday, January 26, 2010

AAIDD intellectual disability manual (11th edition): Intelligence component -1 standard deviation below average: Final in 3-part series


This is my third (and final) comment in my series of comments re: the intellectual component of the new AAIDD ID/MR definition and classification manual.  I urge readers, if they have not done so, to read my original post.  In the first post I outlined the reason for the series.  I also highlighted positive features of the AAIDD component (chapter 4) of the manual and acknowledged that no manual will be perfect.  In the second post, I presented a comparative analysis of the literature cited in the 2002 and 2010 manuals regarding the nature and definition of intelligence. It was my conclusion that the 2010 manual (11th edition-the green book) failed to incorporate significant consensus-based advances regarding the nature of psychometric theories of intelligence and contemporary intelligence tests based upon these theories.

This final post is intended to provide the foundations for the conclusions in my second critical analysis post. To be honest, I've struggled with how to articulate these concerns in a brief format. This has been the major reason for the delay in this final post. I've struggled with not wanting to be a simple critic who does not offer substantive evidence or guidance. More importantly, I did not want to be a critic who did not try to help rectify the issues identified. Thus, I decided to take a more ambitious educational approach to my concerns regarding the AAIDD ID 2010 manual. Thus, my final post in the form of a lengthy PowerPoint presentation that is intended to educate and provide background information regarding my criticisms.

Below is a description of the PowerPoint presentation which is available via my SlideShare space.  This is an online  presentation that can also be downloaded to your respective hard drive for off-line viewing and use. In addition, I have made available a PDF copy of the slides presentation can be accessed by clicking here. [Warning....the PDF version is very large...30+MB....and should only be downloaded when you have a high speed connection]

Description of presentation:  This presentation traces the evolution of psychometric theories of intelligence from Spearman's g to contemporary CHC. In addition, it simultaneously tracks the evolution of psychometric tests of intelligence as they relate to psychometric theories. Finally, there is a special emphasis on tracking changes in the AAMR/AAIDD intellectual disability (mental retardation) classification manuals over the same period. It is concluded that despite significant advances in psychometric theories of intelligence and contemporary psychometric intelligence tests, the official 2010 AAIDD manual is significantly behind these developments. The 2010 AAIDD manual is "stuck on g" and has failed to incorporate advances in both psychometric theories and tests of intelligence.  A significant intelligence theory--AAIDD ID/MR definition gap exists tat has potential serious consequences for individuals with ID/MR.

Below is my final set of critical summary comments (2nd slide from the end) presented at the end of the presentation.
Despite the widespread acceptance and recognition of the contemporary CHC (aka Extended Gf-Gc) theory of intelligence by intelligence scholars, a 2002 national panel of MR/ID experts, and the clear movement in applied IQ test development to test batteries grounded in the CHC framework, AAIDD continues to be “stuck on g”

The AAIDD definition of intelligence is out-of-date.  A major intelligence theory—AAIDD ID definition gap exists

Contemporary intelligence scholars, experts, and test developers recognize that although g (general intelligence)  may exist at the apex of the CHC taxonomy of human cognitive abilities, there are broad (stratum II) abilities that are important (i.e., have differential validities) that can be assessed and, when interpreted appropriately, can provide a more valid and multidimensional picture of an individuals intellectual functioning.

AAIDD’s continued use of the statement (with regard to measurement of multiple cognitive abilities) that “until such measures of multiple intelligences can be assessed reliably and validly, it is the position of AAIDD that intellectual functioning…is best conceptualized and captured by a general factor of intelligence” is simply wrong!  Reliable and valid measures of the broad CHC ability domains exist and have been published  in most intelligence batteries published from 1989 to 2008. 

The AAIDD g-position is at odds with the known heterogeneity of abilities within the ID (and general) population and fails to recognize that although a g-based total composite score may often represent the best single index of a person’s intellectual functioning, often the g-based composite score may lead to inaccurate conclusions regarding a person’s intellectual functioning and in these cases more attention should be focused on the component part scores.  The stuck on g position has the potential to result in serious consequences for individuals, such as denial of special education services; denial of SS benefits, and unjust execution as in “Atkins MR/ID death penalty cases”.

As I stated in my original post, "ideally I hope that my forthcoming critical comments, combined with a spirited back-and-forth dialogue, will produce productive scholarly discourse, discourse that may result in AAIDD upgrading/revising their current written statement regarding the first prong of an ID diagnosis—intellectual functioning (Chapter 4) via new position papers or journal articles, web-based clarifications, and/or the publication of more specific professional guidelines."  Finally, I extend an invitation to members of the committee (that drafted the 2010 manual) to forward  me any professional responses to my series,  which I will post as "guest post responses" at the ICDP blog.

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Saturday, January 23, 2010

Flynn Effect Daubert challenges in Atkins MR/ID death penatly cases: The Flynn Effect is heating up

As discussed previously, the Flynn Effect (adjusting IQ scores downward due to the date of the norms of an intelligence test---click here for definition; click here for all prior FE related posts at IDCP) is a critical psychometric issues raised with regularity in Atkins MR/ID death penalty cases.  Although the FE is generally accepted as a scientifically and empirically-supported finding among intelligence scholars and applied intelligence test developers (although the "why" of the FE is still being debated), the FE concept is sometimes challenged as per scientific validity (Daubert challenges) Atkins cases.

Kevin Foley, a regular guest blogger here at ICDP (who has  a tremendous database of literature re: Atkins cases)  has located a few Daubert challenges.  In the  Kevin Green matter, there was a Daubert challenge to the Flynn Effect. Although the analysis was brief, the judge allowed the use of the FE and concluded that, " In addition to these indications that the Flynn Effect is widely accepted in the profession, the experts testifying during the evidentiary hearing all accepted that there is a Flynn Effect which causes, or at least caused through the 1990s, IQ scores to rise over time." 

In addition, Kevin has located FE Daubert-type challenge heating up in Texas (Eric Dewayne Cathey). In November, 2008, the Texas Court of Criminal Appeals remanded the case back to the trial court to hold a hearing to determine,
  • the scientific validity and reliability of the "Flynn effect";
  • whether clinical practitioners who are ordinarily called upon to diagnose mental retardation for purposes outside of the criminal justice system use and apply the "Flynn effect" to I.Q. test results when making their particularized diagnoses of mental retardation;
  • whether the application of the "Flynn effect" to individual test results is generally accepted scientific procedure in the pertinent professional community outside of the criminal justice system; and
  •  the known or potential "error rate" of the "Flynn effect" as it applies to a specific I.Q. test result.
Click here for a copy of the document. As far as we know, the Cathey case is in the discovery phase.

Finally, the blogmaster (Kevin McGrew) is aware that a psychological assessment journal has organized a special issue dealing with the FE.  How do I know?  Well.....I've been provided copies of the two featured FE-related articles a as I agreed to be 1 of a number of responders to the two key articles.  I don't have permission to share the name of the journal, who wrote the two central articles, or whom else is responding at this time.  But...it is clear that scholars in intelligence theory and testing are raising some new questions re: the FE.  It is clear the the "heat is being turned up" on the FE both in the court of law and the court of psychological research.  During the next year there are going to be a number of important new research articles published re: the FE.  ICDP will post information regarding these reports as soon as it is possible.

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Green v Johnson (VA, 2006 ,2007,2008): Judge Punts on Difficult Issues Involving the Intellectual Functioning Prong--Kevin Folley guest post



Kevin Foley, a regular guest blogger here at ICDP, sent me copies of Green v Johnson (VA, 2006, 2007, 2008) court decisions.  He also shared his analysis of the decisions in the following guest post.

Judge Punts on Difficult Issues Involving the Intellectual Functioning Prong:  Guest post by Kevin Foley


Kevin Green’s mental retardation claim (or Atkins claim) has gone from the Virginia courts to the federal courts all the way to the U.S. Supreme Court.[1]  After the Virginia Supreme Court held that Green’s mental retardation claim was frivolous, Green filed for habeas corpus relief in the federal district court for the Eastern District of Virginia.  The matter was referred to a magistrate judge who ruled that the Virginia Supreme Court’s resolution of the issue was unreasonable. Thus, Green was granted an evidentiary hearing in the federal district court.

Despite a significant effort by the magistrate judge to resolve the mental retardation (ID) claim, the judge took the easy way out when determining the first prong of mental retardation– Green’s current level of intellectual functioning. The magistrate judge “punted” on three important issues – one, determining if Green was malingering, and if so, what effect such behavior had on any IQ test scores; two, resolving issues involving scoring errors; and three, in the end,  failing to determine Green’s current level of intellectual functioning.

Whether talking about physical tests or mental tests, the results from testing are only useful if the person gives a full effort.  Anything short of a complete effort will  provide an incomplete picture. Kevin Green had been assessed a number of times over the years.[2]  Prior to Atkins he was assessed in conjunction with an incarceration, and the state psychologist felt he was malingering.  At his murder trial in 2000, a defense psychologist administered a short form IQ test, on which Green obtained an IQ score of 55, and the psychologist opined that Green was mentally retarded. “He further testified Green’s performance on a test specifically designed to test for malingering, showed that he was not malingering.” [3]  A prosecution expert at the 2000 trial tested Green using the WAIS-III and obtained a full scale IQ score of 74. The prosecution expert “testified that Green was malingering on the tests, and that while it is possible to fake a lower IQ score, there is no way to fake a higher score.”   Green had a second trial after his conviction was reversed on appeal, which was conducted in late 2001. For the second trial, the defense expert administered the WAIS-R to Green and obtained a full scale IQ score of 74.
“Two clinical psychologists testified for the Commonwealth in rebuttal to [the defense expert’s] testimony. Dr. Lynda J. Hyatt reported that Green had an I.Q. score of 84 on the ‘Ammons & Ammons quick test,’ which placed Green in the category of ‘low average’ mental functioning. Dr. Thomas A. Pasquale evaluated Green’s personality as well as his intellectual functioning. Dr. Pasquale diagnosed depression, alcohol dependency, drug abuse, anti-social personality disorder, and malingering. According to Dr. Pasquale, Green had a full-scale I.Q. score of 74 on the Weschler Adult Intelligence Scale, placing him in the ‘borderline range’ of intellectual functioning.”[4]

 Dr. Hyatt, who testified at the second trial concerning her assessment conducted in 1999, also “testified that testing revealed Green was malingering.”[5]

After Atkins was decided, Green presented the testimony of two psychologists who were experts in mental retardation assessment in his federal habeas hearing.[6]  As concerns the alleged malingering on Green’s part, one of Green’s experts “testified that after reviewing the evidence in the record, it was his opinion that Green was not malingering on his tests.” The state called one of its original experts from the two murder trials. This expert testified that Green was a pathological liar. “He found Green to be consistently malingering on multiple tests.”

In sum, the magistrate judge had before him evidence that Green had “passed” three “malingering” tests; the testimony of two psychologists who testified that he was not malingering; and the testimony of two state psychologists who testified that he was malingering. A tough maze of evidence to wade through, but, after all, that is what judges are supposed to do. Well, judge, was Greene malingering on all of those IQ tests he had taken since 1999 as the state contended?  Unfortunately, the judge punted on this issue.  This is how the magistrate judge attempted to resolve the malingering issue:
“The experts testifying during the evidentiary hearing disagree on whether Green was malingering when he took his IQ tests, and disagreed on how to determine when a person is malingering.  However, there is no indication Green would have been malingering at the age of thirteen when he was administered the WISC-R, and received a score of 71. . . The Court finds that Green had no incentive to malinger on the WISC-R, and his score on that test is the best indication of his intellectual functioning as demonstrated on a measure of intellectual functioning prior to the age of eighteen years.”[7]
The magistrate judge went on to add,
“Based on all of the evidence presented, this Court finds that Green has met his burden of proving by a preponderance of the evidence ‘significantly subaverage intellectual functioning [which originated before the age of 18 years] as demonstrated by performance on a standardized measure of intellectual functioning administered in conformity with accepted professional practice’”.[8]
The magistrate judge dropped the ball. First, he should have decided the malingering issue. Second, he was wrong when he ruled that the IQ test score from age 13 sufficed to prove “‘significantly subaverage intellectual functioning [which originated before the age of 18 years] as demonstrated by performance on a standardized measure of intellectual functioning administered in conformity with accepted professional practice’”. The court was quoting from the applicable statute, Virginia Code § 19.2-264.3:1.1,  which defines mental retardation as, “a disability, originating before the age of 18 years, characterized concurrently by (i) significantly subaverage intellectual functioning as demonstrated by performance on a standardized measure of intellectual functioning administered in conformity with accepted professional practice . . . and (ii) significant limitations in adaptive behavior”.  The statute goes on to state that, “ Assessment of intellectual functioning shall include administration of at least one standardized measure generally accepted by the field of psychological testing and appropriate for administration to the particular defendant being assessed  . . .  Testing of intellectual functioning shall be carried out in conformity with accepted professional practice” (emphasis added).  As with the major definitions of mental retardation, the Virginia statute makes it clear that the assessment of mental retardation requires results from current IQ testing, along with a current assessment of adaptive behavior, coupled with evidence showing onset before age 18. The magistrate judge’s quote left out the highlighted words from the statute, and made it appear that the statute only requires an IQ score from before age 18.  This is an example of creative judging, but not good judging.

Third, the magistrate judge ignored the fact that IQ scores from age 13 are not considered to be stable and life-long. No self-respecting psychologist would say that a person’s IQ score at age 13 represents that person’s current intellectual functioning at age 40. According to the National Research Committee that examined mental retardation assessment, “Among children and adolescents between the ages of 6 and 16 years, total test scores should be considered valid for as long as three years.”[9]  Thus, all the magistrate really did insofar as intellectual functioning was concerned, was to determine what Green’s level of intellectual functioning was at age 13.

Four, the magistrate judge failed to determine the issue of whether there were scoring errors which may have impacted Green’s IQ score of 74. According to the magistrate’s recommended order,
“Additional errors were suggested by Green’s counsel, during cross-examination, based on how [the prosecution expert] scored specific questions on the test. Further, [one of the Green’s experts] testified that based on the raw data from Green’s WAIS-III test, [the defense expert] would have assigned a score of 72. This Court does not condone re-scoring of IQ tests or adjustment of scores based on an interpretation of the raw data after the fact. [The prosecution expert], as well as other psychologists, are trained in the administration and scoring of IQ tests. It is not for the Court to go behind those scores, and question the psychologists’ conclusions. The statute requires that IQ tests be administered and scored ‘in accordance with accepted professional practice’ . . . Green has not alleged that [the prosecution expert’s] administration of the WAIS-III failed this requirement. Therefore, the score will be accepted as assigned by [the prosecution expert].”[10]

Obviously, there is a correct way to score questions on an IQ test, even though scoring errors are relatively common. If an error was made in scoring, then the court should have corrected it. This was an issue at the hearing and testimony was taken about the issue. The court should have determined the issue, not ducked it by saying Green did not use the magic words “was not administered and scored in accordance with accepted professional practice.” Interestingly, one federal appeals court reversed a case where the district court refused to consider an affidavit from an expert which appeared to show that a prosecution expert improperly administered and scored an IQ test.[11]  The court did so, not to allow the district court to duck the issue, but to have the court to address the issue and correct any errors.

1 Green’s Virginia Supreme Court decision on his state habeas claim is styled, Green v. Warden of Sussex I State Prison, No. 040932 (Va., Feb. 9, 2005).  Green later filed a motion for a rehearing in the Virginia Supreme Court, adding that the court should consider and apply the Flynn Effect and the standard error of measurement. His motion was denied. Green v. Johnson,  2006 U.S. Dist. LEXIS 90644 (E.D. Va.) at pg. 34, adopted by, 2007 U.S. Dist. LEXIS 21711 (E.D. Va.), aff’d., 515 F. 3d. 290 (4th Cir.), cert. denied, 128 S. Ct. 2527 (2008).

2 Id.

3   Green (Magistrate), id. at LEXIS pg. 32.   The magistrate judge’s recommended decision later states that Green’s trial expert actually administered three tests to screen for malingering. Id. at 52.

Green v. Johnson,  515 F. 3d. 290 (4th Cir.), cert. denied, 128 S. Ct. 2527 (2008), Slip op. at 6, quoting from, Green v. Commonwealth, 580 S.E.2d 834(2003), cert. denied, 540 U.S. 1194 (2004).  When Green filed for habeas relief in the Virginia Supreme Court,  he attached an expert’s affidavit to his petition which stated that the Ammons & Ammons Quick Test, “is not a reliable test, as it was last normed prior to 1962.” Green  (Magistrate), LEXIS pg. 35.

5   Green (magistrate),  supra  at LEXIS pg. 35.

Green called “Matthew H. Scullin, Ph.D., an expert in the field of psychology and evaluating the reliability of IQ test scores and Daniel J. Reschly, Ph.D., Chair of the top-ranked Vanderbilt University Department of Special Education and an expert in the diagnosis of mental retardation and in the field of psychology. Id. at LEXIS pg. 35 (record citation omitted).  The state called Dr. Pasquale again and “Roger B. Moore, Jr., Ph.D., an expert in the methodology and diagnosing of mental retardation”. Id.

7  Green (Magistrate), supra  LEXIS pg. 52.

The magistrate judge went on to conclude that Green failed to satisfy the adaptive behavior prong of the mental retardation diagnosis. The district judge adopted the magistrate’s findings.  The Fourth Circuit Court of  Appeals held that the magistrate judge and district judge erred when they did not accord the Virginia Supreme Court’s  decision the proper amount of deference, but it further held that the magistrate’s decision on the adaptive behavior element was correct, so Green lost on these two alternative grounds

9  Mental Retardation: Determining Eligibility for Social Security Benefits 126 (2002), available for reading online at www. nap.edu.

10  Green v. Johnson,  2006 U.S. Dist. LEXIS 90644 (E.D. Va.), adopted by, 2007 U.S. Dist. LEXIS 21711 (E.D. Va.), aff’d., 2008 U.S. App. LEXIS 2967 (4th Cir.), cert. denied, 128 S. Ct. 2527 (2008).

11  See Lewis v. Quarterman,  __ F. 3d ___ (5th Cir., Case No. 07-70024, Sept. 10, 2008).



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Saturday, January 2, 2010

The state of Florida strikes again: Brown v Fl (2007, 2009)

The state of Florida strikes again. Paul Brown's habeas corpus petition was recently denied. I have posted notification of the availability of copies of that decision, together with the original 2007 decision, at the Court Ruling sidebar of this blog.

A quick skim of the 2009 denial of relief reveals a number of familiar issues common to many Atkins cases -- bright line IQ score of 70, standard error of measurement (SEM), malingering, evidence of mental retardation prior to age 18, etc.

Although I've not completed an exhaustive and critical analysis of all documents, it continues to concern me that in this case, as in other Florida cases, the state appears to continue to ignore the concept of the standard error of measurement (SEM). Cheery v Florida( 2007) continues to rear its head in many of these decisions. It appears the state of Florida continues to rely on the Cherry court to establish an absolute IQ score of 70 or below...period. The state of Florida apparently does not understand, or does not want to accept, the concept of SEM.

The critical and important role of the SEM in intelligence testing, and Atkins cases in particular, has been discussed many times at this blog. We have also provided special technical reports to explain the concept of standard error of measurement. Click here to view all prior post dealing with the SEM.

It appears the court spent more time dealing with the issue of the credibility of the experts than more substantive diagnostic issues regarding mental retardation. This individual had an IQ score of 72 at age 10, and was placed in special education classrooms for those with intellectual disabilities. Although there appears to be some concerns regarding possible malingering (on later WAIS-III tests) and the status of the defendants adaptive behavior, I find it hard to believe that a child at the age of 10 would malinger to obtain an IQ score that would place them in special education classes for individuals with mental retardation. The score of 72 is clearly within the range for mental retardation eligibility (when one correctly recognizes the psychometric concept of SEM).  When coupled with placement in special education classroom prior to the age of 18, I am perplexed why this information was so easily dismissed....largely due to the courts ignorance of the concept of SEM.

I'm sure there's much more to this case than revealed in the final court documents. However, Florida's continued reliance on a bright line IQ score of 70 and the failure to recognize the scientific and professionally recognized concept of SEM, is troubling.

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Wednesday, December 23, 2009

IAP AP101 Brief #4: 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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