Thursday, June 19, 2025

IQs Corner at 20 years: Well over 5 million page views—10 million?

Every once and a while, when my motivation is low, I like to examine the page view/hit stats for this blog—IQs Corner.  Below is the current summary since Jan 2011…4.98 million!  This summary chart does not go back to the early days of this blog, when I blogged hot-and-heavy and had a steady stream of followers.  The first offical post was March 2005……I wish I could get all those stats…that is approximately 6 years of information not included in the 4.98 figure!  When accounted for, the total would be well beyond 5 million….per chance 10 million?  I wish I knew.

Also, for the past several years posts to this blog immediately “trigger” IFTTT posts (with links to the post page) on Twitter/X, BlueSky, and LinkedIn. A big spread of effect.

I want to thank all past and current readers of my various professional social media posts.  I may now go in streaks, but I’m still active.

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Research Byte: Individual differences in #spatial navigation and #workingmemory - lets hear it for the new #WJV visual working memory test—#CHC #Gv #Gwm #schoolpsychology #cognition #intelligence

Individual differences in spatial navigation and working memory
Intelligence. Sorry, but not an open access downloadable article 😕

Abstract

Spatial navigation is a complex skill that relies on many aspects of cognition. Our study aims to clarify the role of working memory in spatial navigation, and particularly, the potentially separate contributions of verbal and visuospatial working memory. We leverage individual differences to understand how working memory differs among types of navigators and the predictive utility of verbal and visuospatial working memory. Data were analyzed from N = 253 healthy, young adults. Participants completed multiple measures of verbal and visuospatial working memory and a spatial navigation task called Virtual Silcton. We found that better navigators may rely more on visuospatial working memory. Additionally, using a relative weights analysis, we found that visuospatial working memory accounts for a large majority of variance in spatial navigation when compared to verbal working memory. Our results suggest individual differences in working memory are domain-specific in this context of spatial navigation, with visuospatial working memory being the primary contributor.
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As an FYI.  The WJ V has a new cognitive Visual Working Memory test that I created. Unfortunately, it was not included in the original WJ V launch and will be added in a later release…not sure when…no one has told me…but I think this fall.
The back story is that this test was in development for over 30 years by yours truly.  For the WJ III I developed, and we normed, a visual working memory test where examinee’s were shown a abstract line-based image on a dotted grid and were instructed to rotate the image in their mind (after the test stimuli figure was removed) and then draw the rotated image on a identical blank grid.  The idea of examinees drawing their response was to add additional clinical information about visual-motor abilities, in addition to visual working memory.  Unfortunately, after being completely normed, we learned via inter-rater reliability studies that the scoring reliability was not adequate…darn.  
The second attempt was an earlier version of the current WJ V Visual Working Memory test that had already been printed for the WJ IV norming test books.  The WJ IV version was shelved at the last minute due to cost issues as a result of the financial crises at the end of the Bush presidency.  We were instructed to reduce the cost of the WJ IV norming.  This test simply had too many printed test easel pages (was called a “page eater”) and was eliminated…double darn.  
However, this turned out to be a blessing in disguise.  With the new digital testing platform, the WJ IV version was now presented without a concern for the number of pages, and more importantly, it could have a much more complex and informative underlying scoring system since all taps on an asymetrical response grid were recorded (which was a richer set of response data than the original WJ IV version).  As stated in the WJ V technical manual (LaForte, Dailey & McGrew, 2025, p. 40):
The Visual Working Memory test requires the use of visual working memory “in the context of processing” (Maehara & Saito, 2007). For each item, the examinee briefly studies a pattern of stimulus dots inside of randomly placed squares on the screen and then must recall the specific locations of the dots. The presentation and recall screens are separated by a quick and simple visual discrimination distractor item. This test requires the examinee to maintain information in working memory while actively processing the distractor requirements. Once the distractor task is completed, it must be quickly removed from active memory to focus on recalling the locations of the stimulus dots (Burgoyne et al., 2022). Errors of both omission (i.e., erroneously recalling a dot in a box where no dot was present) and commission (i.e., failing to identify a box associated with a dot's correct location) are both factored into the test's scoring model; however, heavier emphasis is placed on visual recall through a relatively higher penalty for errors of commission.
Validity information in the WJ V TM provides evidence that the new Visual Working Memory test is a mixed measure of Gv and Gwm.  Preliminary evidence (inspection of growth curves and standard deviation distributional characteristics) was interpreted as being consistent with other measures of executive functioning.  Additional concurrent validity studies with established measures of executive functioning are needed before an evidence-based claim of executive functioning score variance can clearly be established.
I think the 30+ year wait was worth it.  I’m very proud of this test in its current form.  A “shout out” to Dr. Erica LaForte and David Dailey for creating such a response-rich stream of data for scoring…something that was not possible in the planned non-digital WJ III and WJ IV versions.

Research Byte: Positive #schoolclimate can make a difference in #reading, #mentalhealth and #coritical thinning - #schoolpsychology #SPED #EDPSY #cognition


Positive school climate boosts children’s reading achievement, mental health and cortical thinning.  

Brain and Cognition.  Sorry, not an open access article you can download.  ðŸ˜’


Abstract

Growing evidence underscores school climate as an important protective factor for children’s academic achievement and mental health. However, whether and how school climate impacts child development from behavioral to brain has remained largely unknown. This study aimed to investigate the protective roles of school climate in children’s reading achievement, mental health, and cortical thickness. Behavioral and neuroimaging data were obtained from 400 children aged 6–12 years (mean age = 9.65 years). First, results showed that a positive school climate was significantly associated with better reading performance and reduced internalizing/externalizing problems. Notably, school climate compensated for disadvantaged family environments, particularly among children with less educated parents. Second, externalizing problems significantly mediated the link between school climate and reading achievement. Third, compared with their peers, children from schools with more positive climate showed accelerated cortical thinning in the lingual/ pericalcarine/ cuneus and postcentral regions, the hubs for visual processing and sensorimotor integration. Fourth, the cortical thickness of the lingual/ pericalcarine/cuneus and postcentral gyri significantly mediated the role of school climate in reading achievement. These results highlight school climate as a multi-level protective factor that fosters academic resilience via behavioral regulation and cortical thinning.

Research Byte: A longitudinal study of adolescent-to-young adult #executivefunction development in seven countries - #cognition #selfregulation #schoolpsychology #neuropsychology #developmental



A Longitudinal Study of Adolescent-to-Young Adult Executive Function Development in Seven Countries.  Developmental Science.  Sorry, this is not an open access article you can download

Abstract

Executive functioning (EF) is an important developing self-regulatory process that has implications for academic, social, and emotional outcomes. Most work in EF has focused on childhood, and less has examined the development of EF throughout adolescence and into emerging adulthood. The present study assessed longitudinal trajectories of EF from ages 10 to 21 in a diverse, international sample. 1093 adolescents (50.3% female) from eight locations in seven countries completed computerized EF tasks (Stroop, Tower of London [ToL], Working Memory [WM]) at ages 10, 14, 17, and 21. Latent growth curve models were estimated to understand the average performance at age 10 and the change in performance over time for each task. Meta-analytic techniques were used to assess the heterogeneity in estimates between study sites. On average, EF task performance improved across adolescence into young adulthood with substantial between-site heterogeneity. Additionally, significant individual differences in EF task performance at age 10 and change in EF task performance over time characterized the full sample. EF improves throughout adolescence into young adulthood, making it a potentially important time for intervention to improve self-regulation.

Friday, June 06, 2025

Research Byte: General Ability (#g) Level Moderates Cognitive–#Achievement Relations for #Mathematics (#WJIV)—#WJIV #WJV #schoolpsychology #mathematics #SPED #EDPSYCH

[Blogmaster comment:   First…COI info…I’m a coauthor of the WJ IV and WJ V.  Second, regular readers may have noticed that I’ve been MIA on my various social media outlets the past 2-3 months.  I needed a break after spending the last five years working on the WJ V.  I also needed to attend to some family issues.  I plan to restart my sharing of interesting new research and FYI opinion posts].

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New pub in Journal of Intelligence.  Click here to view and download (open access).

General Ability Level Moderates Cognitive–Achievement Relations for Mathematics 

by 
Christopher R. Niileksela
  
Jacob Robbins
 
Daniel B. Hajovsky
 
Abstract

Spearman’s Law of Diminishing Returns (SLODR) suggests general intelligence would be a stronger predictor of academic skills at lower general ability levels, and broad cognitive abilities would be stronger predictors of academic skills at higher general ability levels. Few studies have examined how cognitive–mathematics relations may vary for people with different levels of general cognitive ability. Multi-group structural equation modeling tested whether cognitive–mathematics relations differed by general ability levels for school-aged children (grades 1–5 and grades 6–12) using the Woodcock-Johnson Third Edition (n = 4470) and Fourth Edition (n = 3891) standardization samples. Results suggested that relationships between cognitive abilities and mathematics varied across general ability groups. General intelligence showed a stronger relative effect on mathematics for those with lower general ability compared to those with average or high general ability, and broad cognitive abilities showed a stronger relative effect on mathematics for those with average or high general ability compared to those with lower general ability. These findings provide a more nuanced understanding of cognitive–mathematics relations.