Showing posts with label CHC slide shows. Show all posts
Showing posts with label CHC slide shows. Show all posts

Saturday, August 11, 2018

Beyond IQ: Mining the “no-mans-land” between Intelligence and IQ: Journal of Intelligence special issue

I am pleased to see the Journal of Intelligence addressing the integration of non-cognitive variables (personality; self-beliefs; motivational constructs; often called the “no-mans land” between intelligence and personality— I believe this catchy phrase was first used by Stankov) with intellectual constructs to better understanding human performance. I have had a long-standing interest in such comprehensive models as reflected by my articulation of the Model of Academic Competence and Motivation (MACM) and repeated posting of “beyond IQ” information at my blogs.

Joel Schneider and I briefly touched in this topic in our soon to be published CHC intelligence theory update chapter. Below is the select text and some awesome figures crafted by Joel.

Our simplified conceptual structure of knowledge abilities is presented in Figure 3.10. At the center of overlapping knowledge domains is general knowledge—knowledge and skills considered important for any member of the population to know (e.g., literacy, numeracy, self-care, budgeting, civics, etiquette, and much more). The bulk of each knowledge domain is the province of specialists, but some portion is considered important for all members of society to know. Drawing inspiration from F. L. Schmidt (2011, 2014), we posit that interests and experience drive acquisition of domain-specific knowledge.

In Schmidt's model, individual differences in general knowledge are driven largely by individual differences in fluid intelligence and general interest in learning, also known as typical intellectual engagement (Goff & Ackerman, 1992). In contrast, individual differences in domain-specific knowledge are more driven by domain-specific in-terests, and also by the “tilt” of one's specific abilities (Coyle, Purcell, Snyder, & Richmond, 2014; Pässler, Beinicke, & Hell, 2015). In Figure 3.11, we present a simplified hypothetical synthesis of several ability models in which abilities, interests, and personality traits predict general and specific knowledge (Ackerman, 1996a, 1996b, 2000; Ackerman, Bowen, Beier, & Kanfer, 2001; Ackerman & Heggestad, 1997; Ackerman & Rolfhus, 1999; Fry & Hale, 1996; Goff & Ackerman, 1992; Kail, 2007; Kane et al., 2004; Rolfhus & Ackerman, 1999; Schmidt, 2011, 2014; Schneider et al., 2016; Schneider & Newman, 2015; Woodcock, 1993; Ziegler, Danay, Heene, Asendorpf, & Bühner, 2012).


Click on images to enlarge.







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Monday, August 22, 2016

"Intelligent" intelligence testing with the WJ IV COG #7: Why do some individuals obtain markedly different scores on the various WJ IV Ga tests?

This is # 7 in the "Intelligent" intelligence testing with the WJ IV COG series at IQs Corner.  Copies of the PPT module can be downloaded by clicking on the LinkedIn icon in the right-hand corner of the slide show below  A PDF copy of all slides can be found here.

This module was developed in response to a thread on the IAPCHC listserv where an individual asked for help in understanding why the WJ IV Phonological Processing test score could be so much different (lower) that the WJ IV Sound Blending and Segmentation test scores.

Enjoy.



Wednesday, June 22, 2016

The CHC model of human cognitive abilities--a proposed revision (v2.3): Has Glr been incorrectly conceptualized since 1997?

This presentation contains a historical overview of the derivation of the Glr ability domain in contemporary CHC theory. It then presents new data, as well as historical conclusions of the CHC masters, that makes a strong case for replacing the stratum II broad ability domain of Glr with two separate broad ability domains of Gl (learning efficiency) and Gr (retrieval fluency). How to obtain WJ IV scores for these two broad abilities is presented, as well as other possible Gl and Gr tests indicators from the CHC cross-battery literature.

A pdf copy of this set of slides, one per page, can be downloaded here.



Thursday, February 18, 2016

How to evaluate the unusualness (base rate) of WJ IV cluster or test score differences: It is a pleasure to use the correct measure - A SlideShare presentation

The WJ IV provides two primary methods for comparing tests or cluster scores.  One is based on a predictive model (the variation and comparison procedures) and the other allows comparisons of SEM confidence bands, which takes into account each measures reliability.  A third method for comparing scores, one that takes into account the correlation between compared measures (ability cohesion model) is not provided, but is frequently used by assessment professionals.  The three types of score comparison methods are described and new information, via a "rule of thumb" summary slide and nomograph, are provided to allow WJ IV users to evaluate scores via all three methods.

A PDF copy of the key WJ IV base rate rule-of-thumb slide can be found here.

Sunday, December 07, 2014

The WJ IV Measurement of Auditory Processing (Ga): An online powerpoint slide show



The WJ IV Measurement of Auditory Processing (Ga) from Kevin McGrew

The WJ IV Cognitive and Oral Language include new measures of auditory processing (Ga) that are much more cognitively complex auditory measures of intelligence.  This short presentation provides an overview of the WJ IV Ga tests and presents evidence supporting the importance of Ga as a major component of human intelligence.