An analysis of the Verbal Comprehension Index of the Wechsler Adult Intelligence Scale—Fourth Edition (WAIS–IV) using the Model of Hierarchical Complexity (MHC): Why might stage be a better measure of “smarts” than verbal IQ?

Featherston, Kyle G.; Chen, Shuling Julie; Toth-Gauthier, Maria; Day, James M.; Herman, P. J.; Laverdeur, Raquel; Nicolaï, Laurence; Nicolay, Anne-Catherine; Sini, A.; Tilkin, Caroline; Tyberghein, Mireille; Vanheck, Christian

doi:10.1037/bdb0000015

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…Stage is a much better measure of smarts because it is unidimensional, as well as culture and class free. We also have evidence (Featherston et al, 2016) that intelligence tests measure relatively lowbehavioral stage skills. These are at most comparable with skills used by workers in midmanagement jobs.…”

Section: Problems With the Current State Of Behavioral Testing In The...mentioning

confidence: 84%

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Employee management using behavioral developmental theory.

Commons

Miller

Ramakrishnan

et al. 2018

Behavioral Development

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Lack of employee engagement and productivity due to job misfit is a problem faced by many managers. Improving job fit plays a significant role in increasing employee engagement, productivity, and engagement. The instruments reported here are effective in providing a better method of assessing job fit. The model of hierarchical complexity (Commons & Richards, 1984;Commons, Trudeau, Stein, Richards, & Krause, 1998) offers a standard method of assessing employee behavior. The instruments developed with the model as a basis are (a) Decision-Making Instrument and (b) Perspective-Taking Instrument. In addition, a behavioral version of the Holland Occupational Interests scale is introduced. Decision-making or problem-solving scores help assess how difficult a task an employee successfully completes. Perspective-taking scores reflect how well an employee understands social situations and people's actions. Our behavioral version of the Holland scale identifies the relative reinforcement value of engaging in different categories of work activities These three scores give companies comprehensive knowledge of the hierarchical complexity stage of job performance and occupational interests. This should help companies better manage human resources, hire and develop employees, and shape the future organizational structure.

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Section: Problems With the Current State Of Behavioral Testing In The...mentioning

confidence: 84%

“…A much better measure of smarts is developmental stage (Featherston et al, 2016; Giri, Commons, & Harrigan, 2014). Stage is a much better measure of smarts because it is unidimensional, as well as culture and class free.…”

Section: Problems With the Current State Of Behavioral Testing In The...mentioning

confidence: 99%

Employee management using behavioral developmental theory.

Commons

Miller

Ramakrishnan

et al. 2018

Behavioral Development

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“…The low IQ represents Concrete Stage 9 and Abstract Stage 10 performance. IQ does not measure Metasystematic Stage 13; however, given the existing data on the progression of stage (Commons, Miller, et al, 2014) if an adolescent is performing at the Systematic Stage 12, it is highly likely that the person will move up to Metasystematic Stage 13 (Featherston et al, in press).…”

Section: Methodsmentioning

confidence: 99%

Neural correlates of postformal stages of reasoning: Biological determinants of developmental stage.

Leite¹,

Barker²,

Lucas³

2016

Behavioral Development Bulletin

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The latest research on developmental stage, according to the Model of Hierarchical Complexity (MHC), shows that there is only 1 domain, that stage develops as log 2 (age) and that the number of neurons of a species can predict the mean stage attained by that species. This can be interpreted as saying that biology controls stage. However, humans attain different stages and the biological mechanism that limits stage is still unknown. Based on these findings, we argue that cognitive neuroscience studies of human intelligence should shift from the general laws that govern development and brain maturation to focusing on interindividual differences across development, so as to complete the picture of human cognition beyond statistical norms. We here propose a study that looks for differences in patterns of the brain activation between subjects performing below and above formal stages. What differentiates this study from others that have been conducted in the field of developmental psychology and cognitive neuroscience is that this will explain for the first time not how, but why, some individuals are hardwired to perform at higher stages than others. We intend to analyze the data across different hierarchical complexity tasks and extract a saturation index (SI) that informs about the processing load of problem solving. Second, we compare the SI across subjects who attained different stages. This knowledge will provide for understanding the biological basis of cognition, for improving the behavioral predictive MHC, and for developing a connectionist model of cognition that emulates development throughout life.

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“…These sequences exist in every domain, including, but not limited to, the mathematical, logical, scientific, moral, social, and interpersonal domains. The stages of the MHC have been shown to predict humans’ “smartness” in the colloquial sense using the laundry and balance beam instruments (Featherston et al, 2016; Commons et al, 2008; Commons & Chen, 2014).…”

Section: Model Of Hierarchical Complexitymentioning

confidence: 99%

Measuring developmental outcomes in autism spectrum disorder (ASD).

Commons¹,

Adhikari²,

Giri³

et al. 2017

Behavioral Development Bulletin

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The purpose of the study was to generate a behavioral-developmental scale and see how well it predicted performance in the participants diagnosed with Autism Spectrum Disorder (ASD). Forty-two children diagnosed with ASD were given a behavioraldevelopmental instrument, Autism Developmental Task Sequence (ADTS). The instrument was found to be a very good predictor of how developmentally difficult the task items were. The correlation between Order of Hierarhical Complexity (OHC) of the items and Rasch score was extremely strong, r(43) ϭ .892, p ϭ .000. The instrument was also found to be a very good predictor of performance. The mean stage of performance was M ϭ 4.26, SD ϭ 2.36. The age range and mean stage of performance of the sample did not line up with the age and stage distribution of normal population (Commons & Rodriguez, 1993). With the instrument, we were able to show the development sequence cross sectionally. This information is useful for knowing where to intervene and to measure effectiveness of intervention over a reasonable period.

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An analysis of the Verbal Comprehension Index of the Wechsler Adult Intelligence Scale—Fourth Edition (WAIS–IV) using the Model of Hierarchical Complexity (MHC): Why might stage be a better measure of “smarts” than verbal IQ?

Cited by 4 publications

References 23 publications

Employee management using behavioral developmental theory.

Employee management using behavioral developmental theory.

Neural correlates of postformal stages of reasoning: Biological determinants of developmental stage.

Measuring developmental outcomes in autism spectrum disorder (ASD).

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