Cattell-Horn-Carroll Research Articles

A mathematical formulation of learner cognition for personalised learning experiences

The paper focuses on the assessment of cognitive skills within Virtual Learning Environments (VLEs). In response to the global shift to remote learning amid the COVID-19 pandemic, VLEs, which include learning management systems (LMS) and online collaboration platforms, gained prominence. The proposed work leverages an established Cattell–Horn–Carroll (CHC) theory to propose eight metrics, which collectively form a part of Cognitive Evaluation Metrics (CEM). The proposed metrics introduce a novel computational approach for multimode evaluation of learners’ cognitive abilities for each learning task within a learning environment. The paper details the formalism for the evaluation of the metrics and makes a contribution towards the potential of the proposed methodology to evaluate cognitive abilities. Additionally, the work implements CEM integration into the learner module of a Game-Based Learning (GBL) environment. Analysis of simulations in the GBL environment, along with statistical analysis, provides insights into the normal distribution of cognitive metrics. This reveals diverse ranges in various abilities such as long or short term memory, working memory, reasoning, attention, and processing speed. The paper also explores the impact of virtual assistants, which highlights their limited relevance to enhance cognitive abilities but serve as valuable on-demand support resources.

Factorial invariance of the Wechsler Intelligence Scale for Children, Fifth Edition, across the UK, US and Australia & New Zealand.

This study examined the factorial invariance of the factor structure of the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across the UK, US and Australia & New Zealand (A&NZ). The factorial equivalence of cognitive assessments should be demonstrated before assuming cross-culture generalizability and interpretations of score comparisons. Data were obtained from the UK, US and A&NZ normative standardizations of the WISC-V. The samples consisted of 415 UK, 2200 US and 528 A&NZ children, aged 6-16. Confirmatory factor analysis was applied separately in each sample to establish the baseline model. Next, tests of factorial invariance were undertaken using the recommended hierarchical approach, firstly across the UK and A&NZ samples and then across the UK and US samples. The five-factor first-order scoring model was found to be excellent fit across all three samples independently. Strict factorial invariance of the WISC-V was demonstrated firstly across the UK and A&NZ and secondly the UK and US nationally representative standardization samples. Comparison of latent means found small but significant differences in female children across the UK and A&NZ samples. Consistent with previous research, these results demonstrate the generality of the WISC-V factor structure across the UK, US and A&NZ. Furthermore, as the WISC-V factor structure aligns with the Cattell-Horn-Carroll (CHC) model of cognitive abilities, the results add further support to the cross-cultural generalizability of the CHC model. Small but significant differences in latent factor scores found across samples support the development and use of local normative data.

The non-Cattell-Horn-Carroll (non-CHC) Model of Ancillary Broad and Narrow Abilities

The Cattell-Horn-Carroll (CHC) theory of abilities is a comprehensive model of human cognitive abilities denoted by the G-code. Developed by three prominent psychologists - Raymond Cattell, John Horn, and John Carroll - the CHC theory suggests that there are three strata of cognitive abilities. In this paper, the authors argued that the CHC model faces seven challenges: First, it is a complex model with numerous factors and subtests, posing difficulties in administration and interpretation. Second, the theory itself has limited coverage and may not address all cognitive abilities. Third, critics have been arguing that the CHC theory has failed to sufficiently address socio-cultural variations. Fourth, the CHC model of broad and narrow abilities lacks concrete operational definitions, relying on theoretical constructs. Fifth, it always fails to account for complex interactions between cognitive abilities. Sixth, the CHC model continually evolves, requiring frequent updates. Lastly, the CHC theory might not fully capture individual differences in cognitive abilities and potential, leaving room for improvement. There are alternative models (e.g., extended fluid-crystallized and verbal-perceptual-image rotation theories) to the CHC model. Despite these limitations, the CHC model remains a valuable tool for understanding cognitive abilities. In this paper, the authors have chosen to focus on the non-CHC categories of broad abilities with their respective narrow abilities. Termed as ancillary abilities denoted by the Q-code, this paper aims to provide another model of abilities (not necessarily cognitive), not to replace the current CHC model, but to complement or supplement it.

Adding a Piece to the Puzzle? The Allocation of Figurative Language Comprehension into the CHC Model of Cognitive Abilities.

The study aimed to investigate the allocation of figurative language comprehension (FLC) within the Cattell-Horn-Carroll (CHC) model of cognitive abilities, using three newly developed tests: the Reverse Paraphrase Test (RPT), the Literal Paraphrase Test (LPT), and the Proverb Test (PT). The analysis of a sample of 909 participants revealed that the RPT and LPT measured a unidimensional construct of FLC, while the PT was excluded due to insufficient fit. Combining RPT and LPT items, various models were evaluated, with a bifactor S-1 model showing the best fit, indicating the influence of a general factor (representing FLC) and test-specific method factors. The study explored FLC allocation within the CHC model, supporting its consideration as a distinct factor under the g factor. Examining the nomological network, significant correlations emerged between the Intellectual Curiosity and Aesthetic Sensitivity facets of Openness and FLC, which were comparable in size to the relation with general ability. In conclusion, the study enhances the understanding of FLC within the CHC model, advocating its recognition as a distinct factor. Correlations with Openness facets suggest valuable insights into the interplay between cognitive abilities and personality, necessitating further research for a deeper exploration of this relation.

B - 74 Using Cattell-Horn-Carroll Theory to Investigate the Structure of Executive Function in the Delis-Kaplan Executive Function System (D-KEFS).

To evaluate a series of published executive function factor models for the Delis-Kaplan Executive Function System (D-KEFS) and contrast these models with an a priori three-factor model based on Cattell-Horn-Carroll (CHC) theory. This was a cross-sectional study using the 16 main achievement scores from the D-KEFS standardization sample, which includes three separate age-cohorts. We aimed to replicate previously reported factor models for the D-KEFS in the 20-to-49-year cohort (N = 361) using the approaches described in the original published studies. We also sought to use confirmatory factor analysis to contrast these models with an a priori three-factor model based on CHC theory. The previously reported models failed to replicate, despite a large number of iterations, suggesting that these models are not plausible for the D-KEFS. Initial observations indicated an admissible but poorly fitting three-factor CHC model. However model fit was improved by adding correlated residuals for scores obtained from similar tests, reflecting method effects. These methods effects, derived from one sample, replicated in the other two standardization samples. The final CHC model demonstrated good to excellent fit for the D-KEFS in all three samples, and displayed strong metric invariance across the three age-cohorts. The results highlight the importance of replication in neuropsychological assessment, and show that D-KEFS scores can be interpreted in line with CHC constructs of processing speed, fluid reasoning, and retrieval fluency.

WAIS–IV, WISC–V, WPPSI–IV Subtests and their Relationship with CHC Theory

Psychometric intelligence tests have great importance for identification and diagnosis of learning problems, high talents, and cognitive profile in the context of developmental delay or brain injury impacts, for the orientation of specialized education. Among these tests are the three scales of Wechsler, which used frequently. From, the first to the last edition of Wechsler, tests based being, on the created g factor of Spearman. The Cattell-Horn-Carroll theory (CHC) is a complete psychometric theory and empirically based on the structure of cognitive skills. It’s used widely as a basis for the creation and classifying batteries of administration intelligence and neuropsychological tests to facilitate interpretation of cognitive performance. For organizing assessments for people suspected of having an intellectual disability, also three Wechsler tests are based on this theory. Our study tends to classify all subtests in the last three American edition versions of the Wechsler tests in this critical theory and compare these tests. We found that the five of The Wechsler Intelligence Scale for Children–Fifth Edition WISC-V primary indexes align with Gc (Comprehension knowledge), Gv (Visual and Spatial Thinking), Gf (Fluid Reasoning), Gwm (Working Memory), Gs (Processing Speed). As well Glr (long-term memory) is measured by two complementary indexes: the Naming Speed Index (NSI) and Symbol Translation Index (STI). Meanwhile, in The Wechsler Preschool and Primary Scale of Intelligence Fourth edition WPPSI-IV, The Wechsler Adult Intelligence Scale-Fourth Edition WAIS-IV and The Wechsler Intelligence Scale for Children–Fourth Edition WISC-IV. The only five primary indexes are aligning with Gc, Gv, Gf, Gwm, and Gs, and This proved that there existed more factors present in the WISC-V than the previous Wechsler test editions.

The association between intelligence and financial literacy: A conceptual and meta-analytic review

Financial literacy is positively associated with intelligence, with typically moderate to large effect sizes across studies. The magnitude of the effect, however, has not yet been estimated meta-analytically. Such results suggest financial literacy may be conceptualised as a possible cognitive ability within the Cattel-Horn-Carroll (CHC) model of cognitive abilities. Consequently, we present a psychometric meta-analysis that estimated the true score correlation between cognitive ability and financial literacy. We identified a large, positive correlation with general intelligence (r’ = .62; k = 64, N = 62,194). We also found that financial literacy shared a substantial amount of variance with quantitative knowledge (Gq; via numeracy; r’ = .69; k = 42, N = 35,611), comprehension knowledge (crystallised intelligence; Gc; r’ = .48; k = 14, N = 10,835), and fluid reasoning (fluid intelligence; Gf; r’ = .48; k =20, N = 15,101). Furthermore, meta-analytic structural equation modelling revealed Gq partially mediated the association between cognitive ability (excluding Gq) and financial literacy. Additionally, both Gc and Gq had significant direct effects on financial literacy, whereas the total effect of Gf on financial literacy was fully mediated by a combination of Gc and Gq. While the meta-analyses provide preliminary support for the potential inclusion of financial literacy as primarily a Gc or Gq ability within the CHC taxonomy (rather than Gf), the review revealed that very few studies employed comprehensive cognitive ability measures and/or psychometrically robust financial literacy tests. Consequently, the review highlighted the need for future factor analytic research to evaluate financial literacy as a candidate for inclusion in the CHC taxonomy.

Cross-National Generalizability of WISC-V and CHC Broad Ability Constructs across France, Spain, and the US.

The Cattell-Horn-Carroll (CHC) model is based on psychometric cognitive ability research and is the most empirically supported model of cognitive ability constructs. This study is one in a series of cross-national comparisons investigating the equivalence and generalizability of psychological constructs which align with the CHC model. Previous research exploring the cross-cultural generalizability of cognitive ability measures concluded that the factor analytic models of cognitive abilities generalize across cultures and are compatible with well-established CHC constructs. The equivalence of the psychological constructs, as measured by the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V), has been established across English-speaking samples. However, few studies have explored the equivalence of psychological constructs across non-English speaking, nationally representative samples. This study explored the equivalence of the WISC-V five-factor model across standardization samples from France, Spain, and the US. The five-factor scoring model demonstrated excellent fit across the three samples independently. Factorial invariance was investigated and the results demonstrated strict factorial invariance across France, Spain, and the US. The results provide further support for the generalizability of CHC constructs across Western cultural populations that speak different languages and support the continued use and development of the CHC model as a common nomenclature and blueprint for cognitive ability researchers and test developers. Suggestions for future research on the CHC model of intelligence are discussed.

Computerized cognitive interventions for adults with ADHD: A systematic review and meta-analysis.

Treatments for adults with attention-deficit hyperactivity disorder (ADHD) are understudied, compared to children and adolescents with the same condition. In this systematic review and random-effects meta-analysis, we aim to evaluate the outcomes of computerized cognitive training (CCT) interventions in randomized controlled trials (RCTs) including adults with ADHD. Cognitive outcomes and ADHD symptom severity were analyzed separately. In addition, the Cattell-Horn-Carroll (CHC) theory of cognitive abilities was used to categorize outcome variables into subdomains, which were analyzed separately in a subsequent analysis. The results revealed a small positive change in overall cognitive functioning, a measure of all cognitive outcomes in each study, for individuals who took part in CCT compared to controls (k = 9, Hedge's g = 0.235, 95% CI [0.002, 0.467], p = 0.048, τ² = 0.000, I² = 0.000). However, neither symptom severity nor specific cognitive outcomes (executive functioning, cognitive speed, or working memory) showed a significant improvement. We analyzed the risk of bias in the chosen studies and discuss the findings in terms of effect size. It is concluded that CCT has a small positive effect in adults with ADHD. Due to the lack of heterogeneity in intervention designs across the included studies, increased heterogeneity in future studies could help inform clinicians about the aspects of CCT, such as training type and length, that are most beneficial for this group. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Investigating the Latent Structure of Executive Function in the Delis-Kaplan Executive Function System Using Cattell-Horn-Carroll Theory.

To replicate a seven-factor model previously reported for the Delis-Kaplan Executive Function System (D-KEFS). This study used the D-KEFS standardization sample including 1,750 non-clinical participants. Several seven-factor models previously reported for the D-KEFS were re-evaluated using confirmatory factor analysis (CFA). Previously published bi-factor models were also tested. These models were compared with a three-factor a priori model based on Cattell-Horn-Carroll (CHC) theory. Measurement invariance was examined across three age cohorts. All previously reported models failed to converge when tested with CFA. None of the bi-factor models converged after large numbers of iterations, suggesting that bi-factor models are ill-suited to represent the D-KEFS scores as reported in the test manual. Although poor fit was initially observed for the three-factor CHC model, inspection of modification indices showed potential for improvement by including method effects via correlated residuals for scores derived from similar tests. The final CHC model showed good to excellent fit and strong metric measurement invariance across the three age cohorts with minor exceptions for a subset of Fluency parameters. CHC theory extends to the D-KEFS, supporting findings from previous studies that executive functions can be integrated into CHC theory.

Confirmatory Factor Analysis of the WJ IV Cognitive: What Does the Standard Battery Measure at School Age?

This study aimed to evaluate the tenability of the proposed scoring/interpretive structure for the Woodcock-Johnson IV Test of Cognitive Abilities (WJ IV COG) Standard Battery configuration of subtests using confirmatory factor analysis (CFA) at school age. Results indicated that a three-factor hierarchical model, consistent with the CHC theory (Crystallized Ability, Fluid Reasoning, Short-Term Memory/Working Memory), provided the best fit to the WJ IV COG normative data. Whereas the preferred CHC interpretive structure was largely replicated, indices of interpretive relevance indicated that, among the Stratum II/III attributes that were located, only the omnibus general intelligence dimension should be interpreted with confidence. Nevertheless, several subtests contained adequate specificity to be interpreted in isolation apart from broad abilities. Implications for clinical interpretation are discussed.

General figure and face-specific closure ability: predictors of trait-autism?

Little research has examined the association between general figure closure speed, a stratum I ability within the Cattell-Horn-Carroll (CHC) model of intelligence, and face-specific closure ability; an important consideration, as some research suggests face processing is independent of other abilities. Additionally, figure closure ability (general and face) may correlate negatively with trait-autism, due to theorised autism-related difficulties in global processing. Therefore, in addition to developing a psychometrically robust short-form Mooney face detection task, we administered the Gestalt Figure Completion Test and the Autism Spectrum Quotient to a sample of 263 general community adults. We found convergent validity between face-specific and general figure closure ability (r = .44, 95%CI:[.30, .58]). Furthermore, based on a latent variable model, general figure closure ability was directly, and face-specific figure closure ability indirectly, negatively associated with trait-autism (i.e., nonverbal communication). We conclude that face detection ability evidences convergent validity with general figure closure ability and can be measured reliably in less than four minutes. Finally, a general, rather than face-specific, figure closure process may tap more directly into autism-like nonverbal communication ability, supporting the notion that global processing abilities of non-face objects may better reflect the requirements to ‘fill in the gaps’ in social contexts.

Carroll's Three-Stratum (3S) Cognitive Ability Theory at 30 Years: Impact, 3S-CHC Theory Clarification, Structural Replication, and Cognitive-Achievement Psychometric Network Analysis Extension.

Carroll's treatise on the structure of human cognitive abilities is a milestone in psychometric intelligence research. Thirty years later, Carroll's work continues to influence research on intelligence theories and the development and interpretation of intelligence tests. A historical review of the relations between the 3S and CHC theories necessitates the recommendation that the theories of Cattell, Horn, and Carroll be reframed as a family of obliquely correlated CHC theories-not a single CHC theory. Next, a previously unpublished Carroll exploratory factor analysis of 46 cognitive and achievement tests is presented. A complimentary bifactor analysis is presented that reinforces Carroll's conclusion that his 3S model more accurately represents the structure of human intelligence than two prominent alternative models. Finally, a Carroll-recommended higher-stratum psychometric network analysis (PNA) of CHC cognitive, reading, and math variables is presented. The PNA results demonstrate how PNA can complement factor analysis and serve as a framework for identifying and empirically evaluating cognitive-achievement causal relations and mechanisms (e.g., developmental cascade and investment theories), with an eye toward improved cognitive-achievement intervention research. It is believed that Carroll, given his long-standing interest in school learning, would welcome the integration of theory-driven factor and PNA research.

A Psychometric Network Analysis of CHC Intelligence Measures: Implications for Research, Theory, and Interpretation of Broad CHC Scores "Beyond g".

For over a century, the structure of intelligence has been dominated by factor analytic methods that presume tests are indicators of latent entities (e.g., general intelligence or g). Recently, psychometric network methods and theories (e.g., process overlap theory; dynamic mutualism) have provided alternatives to g-centric factor models. However, few studies have investigated contemporary cognitive measures using network methods. We apply a Gaussian graphical network model to the age 9-19 standardization sample of the Woodcock-Johnson Tests of Cognitive Ability-Fourth Edition. Results support the primary broad abilities from the Cattell-Horn-Carroll (CHC) theory and suggest that the working memory-attentional control complex may be central to understanding a CHC network model of intelligence. Supplementary multidimensional scaling analyses indicate the existence of possible higher-order dimensions (PPIK; triadic theory; System I-II cognitive processing) as well as separate learning and retrieval aspects of long-term memory. Overall, the network approach offers a viable alternative to factor models with a g-centric bias (i.e., bifactor models) that have led to erroneous conclusions regarding the utility of broad CHC scores in test interpretation beyond the full-scale IQ, g.

Expert System for Neurocognitive Rehabilitation Based on the Transfer of the ACE-R to CHC Model Factors

This article focuses on developing an expert system applicable to the area of neurocognitive rehabilitation. The benefit of this interdisciplinary research is to propose an expert system that has been adapted based on real patients’ results from the Addenbrooke’s cognitive examination (ACE-R). One of this research’s main results is a unique proposal to transfer the ACE-R result to the CHC (Cattell–Horn–Carroll) intelligence model. This unique approach enables transforming the CHC model domains according to the modified ACE-R factor analysis, which has never been used before. The expert system inference results allow the automated optimized design of a neurorehabilitation plan to train patients’ cognitive functions according to the CHC model. A set of tasks in 6 difficulty levels (Level 1–Level 6) was proposed for each of the nine CHC model domains. For each patient, the ACE-R results helped determine specific CHC domains to be rehabilitated as well as the starting game level for the rehabilitation within each domain. The proposed expert system has been verified on real data of 705 patients and achieved an average error of 5.94% for all CHC model domains. The proposed system is to be included in the outcomes of the research project of the Technology Agency of the Czech Republic as a verified procedure for healthcare providers.

The Cognitive Ability of Chinese Students with Dyslexia and Mathematical Learning Disabilities.

This study aims to investigate the core cognitive factors that affect reading and math performance of children of the grades 1-6 in Xi'an, Shaanxi Province, China, as well as the differences between children with dyslexia and mathematical disabilities (MD). Therefore, this study mainly evaluated the Cattell Horn Carroll (CHC) cognitive factors for 427 Chinese children and explored the core cognitive factors that affect Chinese children's reading and math performance. Students with dyslexia (n = 34), students with mathematics learning disabilities (n = 34), and 34 normal children were randomly selected as the control group. In order to explore the differences in cognitive development, we analyzed the differences among the three groups (Dyslexia, mathematical learning disabilities (MD), and normal children). The results revealed the following: (1) almost all cognitive ability factors in this study are significantly related to students' reading and mathematical achievements. (2) the core cognitive factors for predicting Chinese dyslexia students are crystallized intelligence, auditory processing and working memory. Executive function, spatial relationship and working memory are the core cognitive factors to predict Chinese children's mathematical achievements. (3) in addition, there are differences in cognitive deficits between disabled Chinese children in reading and math, among which those with reading deficits have extensive auditory processing deficits; while children with mathematic deficits have worse executive function. Recommendations were made based on these findings.

The genetics of specific cognitive abilities

Most research on individual differences in performance on tests of cognitive ability focuses on general cognitive ability (g), the highest level in the three-level Cattell-Horn-Carroll (CHC) hierarchical model of intelligence. About 50% of the variance of g is due to inherited DNA differences (heritability) which increases across development. Much less is known about the genetics of the middle level of the CHC model, which includes 16 broad factors such as fluid reasoning, processing speed, and quantitative knowledge. We provide a meta-analytic review of 747,567 monozygotic-dizygotic twin comparisons from 77 publications for these middle-level factors, which we refer to as specific cognitive abilities (SCA), even though these factors are not independent of g. Twin comparisons were available for 11 of the 16 CHC domains. The average heritability across all SCA is 56%, similar to that of g. However, there is substantial differential heritability across SCA and SCA do not show the developmental increase in heritability seen for g. We also investigated SCA independent of g (SCA.g). A surprising finding is that SCA.g remain substantially heritable (53% on average), even though 25% of the variance of SCA that covaries with g has been removed. Our review highlights the need for more research on SCA and especially on SCA.g. Despite limitations of SCA research, our review frames expectations for genomic research that will use polygenic scores to predict SCA and SCA.g. Genome-wide association studies of SCA.g are needed to create polygenic scores that can predict SCA profiles of cognitive abilities and disabilities independent of g.

Is Processing Speed (Gs) related to Hyperactivity (As a Narrow Cognitive Area of Gps): A Dimensional Approach to Heterogeneity of Clinical and WISC-IV Cognitive Profiles in ADHD From RDoC/HiTOP Perspective

Objective: The aim of this study was to investigate the relationship between symptomatology and the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) cognitive profiles in Attention Deficit and Hyperactivity Disorder (ADHD), taking into account clinical heterogeneity. Method: The WISC-IV was administered to 60 children aged 6 to 13 years with ADHD who had not previously taken psychotropic medication. Conners Teacher-Rating Scale (CTRS-R/L) and Conners Parent-Rating Scale (CPRS-R/L) were completed by parents and teachers. Results: We found a statistically significant positive correlation between the symptoms of hyperactivity/impulsivity and PSI (Processing Speed Index). A statistically significant negative correlation was found between the CTRS-R/L’s DSM-IV Inattentive subscale and PRI (Perceptual Reasoning Index). No relationship was found between the inattention or hyperactivity/impulsivity symptomatology with Working Memory Index (WMI). WMI stood out as the most frequently reported weakness among the four index scores. Conclusion: Considering the relationship between the cognitive domains of RDoC (Research Domain Criteria) and dimensions of HiTOP with the ADHD symptom clusters, the assessment of cognitive and behavioral symptoms may be useful for phenotyping ADHD. According to the CHC (Cattell-Horn-Carroll) theory; the positive correlation level between PSI, which is accepted as Gs, and hyperactivity/impulsivity symptoms in people with ADHD may be due to the fact that hyperactivity is one of the narrow cognitive domains of Gps.

The sexes do not differ in general intelligence, but they do in some specifics

Reliable and meaningful sex differences exist in specific cognitive abilities despite no reliable or meaningful sex difference in general intelligence. Here we use Cattell-Horn-Carroll (CHC) theory to highlight research findings related to sex differences in intelligence, with a focus on studies of test scores from comprehensive intelligence measures that were obtained from large and representative samples of children and adolescents. Female advantages in latent processing speed and male advantages in latent visual processing are the most meaningful and consistently reported sex differences regarding CHC broad cognitive abilities. Differences have been reported in narrow and specific ability constructs such as mental rotation and object memory location. In academic achievement, the largest and most consistent findings are female advantages in writing, whereas male advantages at higher math ability levels are also found. Empirical descriptions of sex differences should consider the breadth of the construct under study and incorporate analysis beyond simple mean differences. Score analysis methods that utilize multiple-group confirmatory factor models and multiple-indicator multiple cause models are useful to address the former, and analysis methods such as quantile regression and male-female ratio calculations along score distributions are useful to address the latter. An understanding of why specific ability differences exist in combination and in the presence of similarities will improve researchers' understanding of human cognition and educational achievements.

Exploring the Validity and Reliability of the WISC-IV: A Review of the Literature

This study seeks to examine the psychometric properties, namely the validity and reliability as well as the overall psychometric quality of the WISC-IV. For this purpose, a systematic review of the literature was carried out. Data analysis revealed that the fourth edition of the Wechsler scale for children is more sophisticated in form and content, in line with the modern approaches and familiar models of intelligence and the measurement of mental abilities. However, research in the field of psychometric quality of this test does not give a clear picture of its interpretive power or its contribution to diagnostic evaluation. Despite its relative utilization in differential diagnostic and diagnostic assessment procedures, there is a strong criticism regarding its structural validity and the models on the basis of which it is explained, as well as the dominant structure emerging from WISC-IV. Over time, the four-factor model seems to be abandoned and its analysis oriented towards a five-factor model, in line with the CHC theory of intelligence and cognitive abilities. All in all, this study enriches our theoretical and practical understanding about the WISC-IV giving rise to other studies in this field.