Saturday, June 07, 2014

More research on the validity of the C-LIM framework in intelligence testing

Another article adding to the Cultural-Linquistic Interpretive Matrix research literature. Click on images to enlarge. A copy of the article can be found here.

"Conclusion

The primary conclusion drawn from this study and previous research is that linguistic demand is an important consideration when selecting and interpreting tests of cognitive abilities. The implications of this study go beyond a re-classification of the C-LIM to emphasizing one of the underlying motivations of the C-LIM's initial inception—the importance of considering a student's linguistic background and abilities prior to selecting, administering, and interpreting tests of cognitive abilities. A comprehensive evaluation that takes a student's linguistic ability into consideration should consider that a student's language ability (i.e., conversational proficiency) might not be an accurate representation of a student's academic language abilities (Cummins, 2008). Thus, it would be beneficial to gather information on a student's academic language abil-ity, due to the relationship between education and IQ (Matarazzo & Herman, 1984). A student's receptive and expressive language abilities may be a worthwhile pursuit in future research, as student's level of conversational proficiency in the classroom may mislead educators and psy-chologists to assume that the student has been exposed to English with the same frequency and depth as his or her peers (Cummins, 2008). Moreover, as suggested by the results of this study, considering the influence of linguistic ability when assessing cognitive abilities should continue to be supported by empirical evidence, instead of school psychologists continuing to rely on informal measures of linguistic ability through language samples and student interviews to gain information on language ability (Ochoa, Galarza, & Gonzalez, 1996).

A second conclusion is that it is unclear how cultural loading can be represented quantitatively in a way that is meaningful both theoretically and practically. An important, albeit unanswered question is, "What variables do practitioners take into account when making decisions about the cultural influences that may affect the selection and interpretation of tests from cognitive batteries?" Flanagan and Ortiz (2001) define cultural loading as "the degree to which a given test requires specific knowledge of or experience with mainstream culture" (p. 243). However, this broad definition does not identify specific variables that practitioners may consider in practice to make these decisions about whether a student's experiences are significantly different from mainstream culture. Given these unanswered questions, it is possible that the underlying reasoning that led to the creation of the C-LIM and its categorization system needs to be re-thought (as also suggested by Styck & Watkins, 2013), particularly with respect to cultural loading. Specifically, it would be important to consider what is occurring and possible in practice, as this is the intended use of the C-LIM."

 

 

Number sense: Two dimensional construct that may either be Gf, Gq or mixed Gf/Gq in CHC taxonomy

 

Very interesting article on the structure of number sense (numerosity) and correlates of the dimensions of number sense. Joel Schneider and I, in our 2012 CHC book chapter, suggest that number sense is likely a new ability that needs to be included in the CHC taxonomy. At this time there is no research I am aware of that helps determine where number sense fits in the CHC taxonomy. As Joel and I have written, we believe it likely would fall under Gq or Gf. It is my current thinking, based on the study featured here and other research I have read, that number sense most likely is a factorially complex ability that will fall under Gq and Gf (RQ). There is likely going to be an increase in standardized measures of number sense (or numerosity) in future individually administered test batteries.
Click on images below to enlarge

"NS at an early age has been denoted as the most important predictor of later mathematics performance: more important than general intelligence, and still present when controlling for other measures such as working memory (e.g., Geary, Hoard, Nugent, & Bailey, 2013; Mazzocco, Feigenson, & Halberda, 2011). Similarly, problems in early NS may precede long-lasting problems in mathematics performance throughout the academic career of a child (Ansari & Karmiloff-Smith, 2002; Butterworth, 2005). In the past decades, research concerning the components of NS, its predictive role for later performance, and the possibilities to remediate delays in NS has been expanded (e.g., Dyson, Jordan, & Glutting, 2013; Toll & Van Luit, 2013a). The present study builds on current understandings of NS and aims to inves-tigate the factor structure of NS and the predictive role of working memory (WM)."

"Although research concerning NS has recently increased, there is limited consensus with regard to its definition. Dehaene (1992, 2001) stressed the intuitive capacity to mentally represent quantities, but other definitions focus on declarative knowledge of numbers, and the ability to compare between and manipulate them, as evidenced by di-verse batteries of quantity-related tests (Jordan, Glutting, Ramineni, & Watkins, 2010; Malofeeva et al., 2004). Also, a limited number of studies have targeted the factors underlying the construct."

"The factor analysis yielded a factor structure of two distinct components. The first component can be characterised as symbolic processing and is primarily based on culture-based taught skills: number recognition, counting, and using number words in a meaningful context. This factor could predict performance on digit knowledge and counting, but also on the symbolic versions of the number comparison and number line test, as formal knowledge of number symbols and words was needed for successful completion of these tasks. The second factor could be characterised as nonsymbolic processing, and primarily indicated the intuitive processing of number and magnitude, quite similar to the influential definition of NS given by Dehaene (2001), who postu-lated that NS is quick and intuitive. This factor could predict performance on both the symbolic and the nonsymbolic comparison and number line tests."

"We found that both symbolic and nonsymbolic processing could be predicted by WM components. However, whereas both the central executive and visuospatial sketchpad could significantly predict symbolic number processing, variance in nonsymbolic processing was only predicted by the central exec-utive, whilst measures of the slave systems added no additional explained variance. Yet, each individual measure of WM did correlate with measures loading onto nonsymbolic NS, highlighting the importance of analysing these associations in integrated models in order to control for shared variance between tasks. The significant associations between symbolic processing and both the central executive and visuospatial sketchpad suggested that to successfully count and use number words and symbols, both visuospatial storage and processing is needed

 

 

 

Is biculturalism a three dimensional construct?

Interesting article suggesting that biculturalism (and not degree of acculturation and enculturation) may be a three dimensional construct. Click on images to enlarge.

 

 

 

 

 

Sharing Introduction to Special Section on Working Memory via BrowZine

Introduction to Special Section on Working Memory
Dehn, M. J.
Journal of Attention Disorders, Vol. 18 Issue 4 – 2014: 283 - 285

10.1177/1087054714523128

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://jad.sagepub.com/cgi/doi/10.1177/1087054714523128

Non-University of Minnesota Users: (Full text may not be available)
http://jad.sagepub.com/cgi/doi/10.1177/1087054714523128

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Sharing Nonpharmacological Treatments for ADHD: A Meta-Analytic Review via BrowZine

Nonpharmacological Treatments for ADHD: A Meta-Analytic Review
Hodgson, K.; Hutchinson, A. D.; Denson, L.
Journal of Attention Disorders, Vol. 18 Issue 4 – 2014: 275 - 282

10.1177/1087054712444732

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://jad.sagepub.com/cgi/doi/10.1177/1087054712444732

Non-University of Minnesota Users: (Full text may not be available)
http://jad.sagepub.com/cgi/doi/10.1177/1087054712444732

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Friday, June 06, 2014

Sharing The Public's Bounded Understanding of Science via BrowZine

The Public's Bounded Understanding of Science
Bromme, Rainer; Goldman, Susan R.
Educational Psychologist, Vol. 49 Issue 2 – 2014: 59 - 69

10.1080/00461520.2014.921572

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://www.tandfonline.com/doi/abs/10.1080/00461520.2014.921572

Non-University of Minnesota Users: (Full text may not be available)
http://www.tandfonline.com/doi/abs/10.1080/00461520.2014.921572

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Sharing Introduction to the special issue on circadian rhythms in behavioral neuroscience. via BrowZine

Introduction to the special issue on circadian rhythms in behavioral neuroscience.
Weil, Zachary M.; Nelson, Randy J.
Behavioral Neuroscience, Vol. 128 Issue 3 – 2014: 237 - 239

10.1037/a0036740

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://doi.apa.org/getdoi.cfm?doi=10.1037/a0036740

Non-University of Minnesota Users: (Full text may not be available)
http://doi.apa.org/getdoi.cfm?doi=10.1037/a0036740

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Sharing Number sense in kindergarten children: Factor structure and working memory predictors via BrowZine

Number sense in kindergarten children: Factor structure and working memory predictors
Friso-van den Bos, Ilona; Kroesbergen, Evelyn H.; van Luit, Johannes E.H.
Learning and Individual Differences, Vol. 33 – 2014: 23 - 29

10.1016/j.lindif.2014.05.003

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://www.sciencedirect.com/science/article/pii/S104160801400096X

Non-University of Minnesota Users: (Full text may not be available)
http://www.sciencedirect.com/science/article/pii/S104160801400096X

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******************************************************
Kevin McGrew, PhD
Educational Psychologist
Director, Institute for Applied Psychometrics
IAP
www.themindhub.com
******************************************************

Article: Brain integration correlates with greater creativity


Brain integration correlates with greater creativity
http://www.medicalnewstoday.com/releases/277806.php?tw

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******************************************************
Kevin McGrew, PhD
Educational Psychologist
Director, Institute for Applied Psychometrics
IAP
******************************************************

Sunday, June 01, 2014

On Death Row With Low I.Q., and New Hope for a Reprieve - NYTimes.com [feedly]




Beyond IQ, a new blog about psychological assessment [feedly]



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Beyond IQ, a new blog about psychological assessment
// Assessing Psyche, Engaging Gauss, Seeking Sophia

Beyond IQ is an excellent new blog about psychological assessment. It was created about a month ago by Smadar Sapir Yogev, an educational psychologist working in Jerusalem.

Smadar Sapir Yogev

Smadar Sapir Yogev

Smadar posts in both Hebrew and in English on a wide range of assessment-related topics. She has created an excellent nine-part series on CHC theory, of which six parts have been published. My favorite in the series so far is the presentation on long-term memory, which presents CHC theory memory abilities alongside other aspects of memory processes identified by cognitive psychologists.

I look forward to reading Smadar's future posts on a diverse range of topics.


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Friday, May 30, 2014

Sharing Flow of cognitive capital across rural and urban United States via BrowZine

Flow of cognitive capital across rural and urban United States
Jokela, Markus
Intelligence, Vol. 46 – 2014: 47 - 53

10.1016/j.intell.2014.05.003

Sharing Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity via BrowZine

Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity
Benedek, Mathias; Jauk, Emanuel; Sommer, Markus; Arendasy, Martin; Neubauer, Aljoscha C.
Intelligence, Vol. 46 – 2014: 73 - 83

10.1016/j.intell.2014.05.007

Wednesday, May 28, 2014

Hall v. Florida Impact: 20 Cases? [feedly]



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Hall v. Florida Impact: 20 Cases?
// Crime and Consequences Blog

How many cases will yesterday's decision in Hall v. Florida actually impact?  Lizette Alvarez and John Schwartz have this article in the NYT estimating "10 to 20," citing anti-death-penalty law professor John Blume for that estimate.  (The article doesn't identify Blume as an advocate for one side on this issue, but he is.) "The death row inmates in this category would generally have I.Q.'s of between 71 and 75. Inmates in that category should now be able to ask for a new hearing that would take into consideration other evidence and a broader range of I.Q. tests."

There are a couple of points to note here.  First, it appears a prominent advocate for the other side implicitly agrees that Hall does not require reconsideration in cases where the inmate's test scores are above 75.  My prior post and the comments to it discussed whether Hall might extend to murderers whose scores are consistently above 75.  I don't think it does yet -- and apparently Blume agrees -- though the Court may still go there in the future.

Does everyone in the 71 to 75 twilight zone automatically get a new hearing?  If that means evidentiary hearing, I don't think so.  Hall himself, for example, put on the experts who testified to the same thing they would testify to after the Supreme Court's decision.  I don't see any reason why the trial judge cannot enter a new decision on the same record, considering the margin of error as the Supreme Court directs.  I expect his decision would be the same.  The state might want a new evidentiary hearing to put on the evidence it didn't think was necessary before, but Hall has already had his shot.

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Article: Justice Alito’s Statistics Lesson Misses the Mark in Recent Dissent, Experts Say


Justice Alito's Statistics Lesson Misses the Mark in Recent Dissent, Experts Say
http://blogs.wsj.com/law/2014/05/28/justice-alitos-statistics-lesson-misses-the-mark-in-recent-dissent-experts-say/

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*

Blogmaster, Dr. Kevin McGrew, participates in Huffington Post live stream interview this morning: WATCH: Death Row Inmates With Low IQs Get 2nd Chance

Thought you might enjoy this video:

http://huff.lv/1nykRq9

Death Row Inmates With Low IQs Get 2nd Chance

In a 5-4 decision on Tuesday, the US Supreme Court struck down Florida's IQ execution law, which was used to determine mentally disabled inmates' eligibility for execution, calling it "unconstitutional."

Tuesday, May 27, 2014

Article: IQ, the death penalty, and me



Article: DARPA program to develop brain implants for mental disorders


DARPA program to develop brain implants for mental disorders
http://www.cbsnews.com/news/darpa-program-to-develop-brain-implants-for-mental-disorders/

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Opinion analysis: A new limit on the death penalty--an interpretation of Hall v Florida IQ SEM decision

http://www.scotusblog.com/2014/05/opinion-analysis-a-new-limit-on-the-death-penalty/

Victory for psychometrics in Hall v Florida "bright line" (ignoring SEM) SCOTUS decision re Atkins MR/ID death penalty cases


This morning SCOTUS rectified the long standing "bright line" (ignoring SEM) problem with Atkins ID/MR cases in Florida.  Click here for background information.  Click here for today's decision.

Article: New online cognitive self-assessment by Cogniciti (Baycrest): a thermometer for the mind?


New online cognitive self-assessment by Cogniciti (Baycrest): a thermometer for the mind?
http://sharpbrains.com/blog/2014/05/27/new-online-cognitive-self-assessment-by-cogniciti-baycrest-a-thermometer-for-the-mind/

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Saturday, May 24, 2014

Sharing Exploratory Bifactor Analysis of the WJ-III Cognitive in Adulthood via the Schmid-Leiman Procedure via BrowZine

Exploratory Bifactor Analysis of the WJ-III Cognitive in Adulthood via the Schmid-Leiman Procedure
Dombrowski, S. C.
Journal of Psychoeducational Assessment, Vol. 32 Issue 4 – 2014: 330 - 341

10.1177/0734282913508243

Sharing Concurrent Validity of the WISC-IV and DAS-II in Children With Autism Spectrum Disorder via BrowZine

Concurrent Validity of the WISC-IV and DAS-II in Children With Autism Spectrum Disorder
Kuriakose, S.
Journal of Psychoeducational Assessment, Vol. 32 Issue 4 – 2014: 283 - 294

10.1177/0734282913511051

Thursday, May 22, 2014

Indonesian CHC gig was awesome

Here is the blogmaster about ready to do his 1 day workshop on CHC theory, followed by 3 "working" consultation days, with staff from the YDB foundation and psychology faculty at the Universitas Gadja Mada in Indonesia. Thanks to the YDB and UGM staff....it was a great experience.

Wednesday, May 21, 2014

CHC theory 101: \"Big picture\" context and from Spearman's g to contemporary CHC - new SlideShare modules





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Saturday, May 17, 2014

WJ IV training in Minneapolis with two WJ IV coauthors: Sept 26

Schoolhouse Educational Services is conducting a day of training on the new WJ IV, with WJ IV coauthors Dr. Nancy Mather and Dr. Kevin McGrew, on Sept 26 in Minneapolis, MN. Click on link for more information.

[Conflict of interest disclosure: I, Kevin McGrew, owner of this blog and a presentor at this training, am a coauthor of the WJ IV battery]

 

Thursday, May 15, 2014

Sharing Evaluating the Correspondence of Different Cognitive Batteries via BrowZine

Evaluating the Correspondence of Different Cognitive Batteries
Salthouse, T. A.
Assessment, Vol. 21 Issue 2 – 2014: 131 - 142

10.1177/1073191113486690

Sharing Religiosity is negatively associated with later-life intelligence, but not with age-related cognitive decline via BrowZine

Religiosity is negatively associated with later-life intelligence, but not with age-related cognitive decline
Ritchie, Stuart J.; Gow, Alan J.; Deary, Ian J.
Intelligence, Vol. 46 – 2014: 9 - 17

10.1016/j.intell.2014.04.005

Sharing Ability tilt on the SAT and ACT predicts specific abilities and college majors via BrowZine

Ability tilt on the SAT and ACT predicts specific abilities and college majors
Coyle, Thomas R.; Purcell, Jason M.; Snyder, Anissa C.; Richmond, Miranda C.
Intelligence, Vol. 46 – 2014: 18 - 24

10.1016/j.intell.2014.04.008

Saturday, May 10, 2014

Sharing Home sweet home: Does where you live matter to working memory and other cognitive skills? via BrowZine

Home sweet home: Does where you live matter to working memory and other cognitive skills?
Alloway, Tracy Packiam; Alloway, Ross G.; Wootan, Samantha
Journal of Experimental Child Psychology, Vol. 124 – 2014: 124 - 131

10.1016/j.jecp.2013.11.012

Wednesday, May 07, 2014

Sharing Individual Differences in Reading Development: A Review of 25 Years of Empirical Research on Matthew Effects in Reading via BrowZine

Individual Differences in Reading Development: A Review of 25 Years of Empirical Research on Matthew Effects in Reading
Pfost, M.; Hattie, J.; Dorfler, T.; Artelt, C.
Review of Educational Research, Vol. 84 Issue 2 – 2014: 203 - 244

10.3102/0034654313509492

Sharing Intellectual development from early childhood to early adulthood: The impact of early IQ differences on stability and change over time via BrowZine

Intellectual development from early childhood to early adulthood: The impact of early IQ differences on stability and change over time
Schneider, Wolfgang; Niklas, Frank; Schmiedeler, Sandra
Learning and Individual Differences, Vol. 32 – 2014: 156 - 162

10.1016/j.lindif.2014.02.001


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Tuesday, May 06, 2014

Sharing Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education via BrowZine

Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education
Paas, Fred; Ayres, Paul
Educational Psychology Review, Vol. 26 Issue 2 – 2014: 191 - 195

10.1007/s10648-014-9263-5

Wednesday, April 30, 2014

Sharing Does working memory moderate the effects of fraction intervention? An aptitude–treatment interaction. via BrowZine

Does working memory moderate the effects of fraction intervention? An aptitude–treatment interaction.
Fuchs, Lynn S.; Schumacher, Robin F.; Sterba, Sonya K.; Long, Jessica; Namkung, Jessica; Malone, Amelia; Hamlett, Carol L.; Jordan, Nancy C.; Gersten, Russell; Siegler, Robert S.; Changas, Paul
Journal of Educational Psychology, Vol. 106 Issue 2 – 2014: 499 - 514

10.1037/a0034341

Sharing Strategy training eliminates sex differences in spatial problem solving in a stem domain. via BrowZine

Strategy training eliminates sex differences in spatial problem solving in a stem domain.
Stieff, Mike; Dixon, Bonnie L.; Ryu, Minjung; Kumi, Bryna C.; Hegarty, Mary
Journal of Educational Psychology, Vol. 106 Issue 2 – 2014: 390 - 402

10.1037/a0034823

Sharing A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. via BrowZine

A meta-analysis of the effectiveness of intelligent tutoring systems on college students' academic learning.
Steenbergen-Hu, Saiying; Cooper, Harris
Journal of Educational Psychology, Vol. 106 Issue 2 – 2014: 331 - 347

10.1037/a0034752

Friday, April 25, 2014

Sharing Introduction to the special issue on emotional intelligence via BrowZine

Introduction to the special issue on emotional intelligence
Austin, Elizabeth J.; Saklofske, Donald H.
Personality and Individual Differences, Vol. 65 – 2014: 1 - 2

10.1016/j.paid.2014.02.006

Sharing Attention in the real world: toward understanding its neural basis via BrowZine

Attention in the real world: toward understanding its neural basis
Peelen, Marius V.; Kastner, Sabine
Trends in Cognitive Sciences, Vol. 18 Issue 5 – 2014: 242 - 250

10.1016/j.tics.2014.02.004

Sharing Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention via BrowZine

Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention
Ioannidis, John P.A.; Munafò, Marcus R.; Fusar-Poli, Paolo; Nosek, Brian A.; David, Sean P.
Trends in Cognitive Sciences, Vol. 18 Issue 5 – 2014: 235 - 241

10.1016/j.tics.2014.02.010

Wednesday, April 23, 2014

Sharing White matter microstructure correlates of mathematical giftedness and intelligence quotient via BrowZine

White matter microstructure correlates of mathematical giftedness and intelligence quotient
Navas-Sánchez, Francisco J.; Alemán-Gómez, Yasser; Sánchez-Gonzalez, Javier; Guzmán-De-Villoria, Juan A.; Franco, Carolina; Robles, Olalla; Arango, Celso; Desco, Manuel
Human Brain Mapping, Vol. 35 Issue 6 – 2014: 2619 - 2631

10.1002/hbm.22355

Sharing Gray and white matter correlates of navigational ability in humans via BrowZine

Gray and white matter correlates of navigational ability in humans
Wegman, Joost; Fonteijn, Hubert M.; van Ekert, Janneke; Tyborowska, Anna; Jansen, Clemens; Janzen, Gabriele
Human Brain Mapping, Vol. 35 Issue 6 – 2014: 2561 - 2572

10.1002/hbm.22349

Tuesday, April 22, 2014

Article: Search of: autism spectrum disorders OR autism OR pervasive developmental disorders OR PDD OR Kanner's syndrome OR child mental disorders OR asperger syndrome OR autistic OR developmental disabilities | Open Studies | Exclude Unknown | NIH - List Results


Search of: autism spectrum disorders OR autism OR pervasive developmental disorders OR PDD OR Kanner's syndrome OR child mental disorders OR asperger syndrome OR autistic OR developmental disabilities | Open Studies | Exclude Unknown | NIH - List Results
http://www.clinicaltrials.gov/ct2/results?fund=0&no_unk=Y&recr=Open&term=autism+spectrum+disorders+OR+autism+OR+pervasive+developmental+disorders+OR+PDD+OR+Kanner%27s+syndrome+OR+child+mental+disorders+OR+asperger+syndrome+OR+autistic+OR+developmental+disabilities

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Sharing Self-handicapping, perfectionism, locus of control and self-efficacy: A path model via BrowZine

The constructs investigated in this paper are part of the Model of Academic Competence and Motivation (MCACM). More info can be found about the MACM at IQs Corner and www.themindhub.com. It is part of the "Beyond IQ" set of IAP research activities


Self-handicapping, perfectionism, locus of control and self-efficacy: A path model
Arazzini Stewart, Martina; De George-Walker, Linda
Personality and Individual Differences, Vol. 66 – 2014: 160 - 164

10.1016/j.paid.2014.03.038


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Saturday, April 19, 2014

Why composite scores are more extreme than the average of their parts [feedly]

The brilliance of Dr. Joel Schneider   

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Why composite scores are more extreme than the average of their parts
// Assessing Psyche, Engaging Gauss, Seeking Sophia

Suppose that two tests have a correlation of 0.6. On both tests an individual obtained an index score of 130, which is 2 standard deviations above the mean. If both tests are combined, what is the composite score?

Our intuition is that if both tests are 130, the composite score is also 130. Unfortunately, taking the average is incorrect. In this example, the composite score is actually 134. How is it possible that the composite is higher than both of the scores?

If I measure the length of a board twice or if I take the temperature of a sick child twice, the average of the results is probably the best estimate of the quantity I am measuring. Why can't I do this with standard scores?

Standard scores do not behave like many of our most familiar units of measurement. Degrees Celsius have meaning in reference to a standard, the temperature at which water freezes at sea level. In contrast, standard scores do not have meaning compared to some absolute standard. Instead, the meaning of a standard score derives from its position in the population distribution. One way to describe the position of a score is its distance from the population mean. The size of this distance is then compared to the standard deviation, which is how far scores typically are from the population mean (more precisely, the standard deviation is the square root of the average squared distance from the mean). Thus, the "standard" to which standard scores are compared are the mean and standard deviation.

An index score of 130 is 2 standard deviations above the mean of 100.

An index score of 130 is 2 standard deviations above the mean of 100.

The average of two imperfectly correlated index scores is not an index score. Its standard deviation is smaller than 15 and thus our sense of what index scores mean does not apply to the average to two index scores. To make sense of the composite score, we must convert it into an index score that has a standard deviation of 15.

\dfrac{(130+130-2*100)}{\sqrt{2+2*0.6}}+100\approx 134

How is this possible. It is unusual for someone to score 130. It is even more unusual for someone to score 130 on two tests that are imperfectly correlated. The less correlated the tests, the more unusual it is to score high on both tests.

Below is a geometric representation of this phenomenon. Correlated tests can be graphed with oblique axes (as is done in factor analyses with oblique rotations). The cosine of the correlation is the angle between the axes. As seen below, the lower the correlation, the more extreme the composite. As the correlation approaches 1, the composite approaches the average of the scores.

The lower the correlation, the more extreme the composite score.

The lower the correlation, the more extreme the composite score.

 

In a previous post, I presented this material in greater detail.


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Friday, April 18, 2014

Article: Scientists discover brain’s anti-distraction system




Sharing Psychology of knowledge representation via BrowZine

Psychology of knowledge representation
Grimm, Lisa R.
Wiley Interdisciplinary Reviews: Cognitive Science, Vol. 5 Issue 3 – 2014: 261 - 270

10.1002/wcs.1284

Sharing Meta-analysis of functional neuroimaging studies indicates that an increase of cognitive difficulty during executive tasks engages brain regions associated with time perception via BrowZine

Meta-analysis of functional neuroimaging studies indicates that an increase of cognitive difficulty during executive tasks engages brain regions associated with time perception
Radua, Joaquim; Pozo, Natalia Ojeda del; Gómez, José; Guillen-Grima, Francisco; Ortuño, Felipe
Neuropsychologia, Vol. 58 – 2014: 14 - 22

10.1016/j.neuropsychologia.2014.03.016

Sharing Is health literacy an example of construct proliferation? A conceptual and empirical evaluation of its redundancy with general cognitive ability via BrowZine

Is health literacy an example of construct proliferation? A conceptual and empirical evaluation of its redundancy with general cognitive ability
Reeve, Charlie L.; Basalik, Debra
Intelligence, Vol. 44 – 2014: 93 - 102

10.1016/j.intell.2014.03.004

Article: Videos: Rhythmic Dynamics and Cognition conference 6-4-13 | Miller Laboratory


Videos: Rhythmic Dynamics and Cognition conference 6-4-13 | Miller Laboratory
https://www.earlkmiller.org/2014/04/18/videos-rhythmic-dynamics-and-cognition-6-4-13/

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Sunday, April 13, 2014

Sharing Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling via BrowZine

File under Go domain in contemporary CHC theory

Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling
Karunanayaka, Prasanna; Eslinger, Paul J.; Wang, Jian-Li; Weitekamp, Christopher W.; Molitoris, Sarah; Gates, Kathleen M.; Molenaar, Peter C.M.; Yang, Qing X.
Human Brain Mapping, Vol. 35 Issue 5 – 2014: 2055 - 2072

10.1002/hbm.22312

University of Minnesota Users:
https://www.lib.umn.edu/log.phtml?url=http://doi.wiley.com/10.1002/hbm.22312

Non-University of Minnesota Users: (Full text may not be available)
http://doi.wiley.com/10.1002/hbm.22312

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******************************************************
Kevin McGrew, PhD

Sharing Subcortical regional morphology correlates with fluid and spatial intelligence via BrowZine

Subcortical regional morphology correlates with fluid and spatial intelligence
Burgaleta, Miguel; MacDonald, Penny A.; Martínez, Kenia; Román, Francisco J.; Álvarez-Linera, Juan; González, Ana Ramos; Karama, Sherif; Colom, Roberto
Human Brain Mapping, Vol. 35 Issue 5 – 2014: 1957 - 1968

10.1002/hbm.22305

Sluggish Cognitive Tempo in Abnormal Child Psychology: An Historical Overview and Introduction to the Special Section via BrowZine

Is sluggish cognitive tempo (SCT) the new fashionable Dx? Is it different from or a subtype of ADHD. NY Times had a feature article on SCT

http://www.nytimes.com/2014/04/12/health/idea-of-new-attention-disorder-spurs-research-and-debate.html

Below is introductory article to special issue of Journal of Abnormal Child Psych that focused on SCT

Sluggish Cognitive Tempo in Abnormal Child Psychology: An Historical Overview and Introduction to the Special Section
Becker, Stephen P.; Marshall, Stephen A.; McBurnett, Keith
Journal of Abnormal Child Psychology, Vol. 42 Issue 1 – 2014: 1 - 6

10.1007/s10802-013-9825-x

Thursday, April 10, 2014

Article: Brain Changes Suggest Autism Starts In The Womb




Sharing The relationship among geometry, working memory, and intelligence in children via BrowZine

The relationship among geometry, working memory, and intelligence in children
Giofrè, David; Mammarella, Irene Cristina; Cornoldi, Cesare
Journal of Experimental Child Psychology, Vol. 123 – 2014: 112 - 128

10.1016/j.jecp.2014.01.002

Tuesday, April 08, 2014

Why is working memory related to intelligence? Different contributions from storage and processing [feedly]

       
Why is working memory related to intelligence? Different contributions from storage and processing
// MEMORY - Web of Knowledge

Title: Why is working memory related to intelligence? Different contributions from storage and processing
Author(s): Dang, Cai-Ping; Braeken, Johan; Colom, Roberto; et al.
Source: MEMORY, 22 (4): 426-441 MAY 2014
IDS#: AB2CR. ISSN: 0965-8211
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