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Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory

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  • Caemmerer, Jacqueline M.
  • Keith, Timothy Z.
  • Reynolds, Matthew R.

Abstract

The purpose of this study was to examine the applicability of Cattell-Horn-Carroll (CHC) theory across six intelligence tests to better understand the cognitive abilities at a broad construct level, as opposed to narrow test level. Nearly 4000 youth aged 6 to 18 were drawn from seven tests' standardization and linking samples and missing data techniques were used to complete cross-battery analyses. Cross-battery confirmatory factor analyses demonstrated support for a CHC model when the Differential Abilities Scale, Second Edition, Kaufman Assessment Battery for Children, Second Edition, Wechsler Intelligence Scale for Children, Third, Fourth, and Fifth Editions, and Woodcock–Johnson III Tests of Cognitive Abilities were analyzed simultaneously. All but one of the 66 subtests mapped on the CHC broad abilities in accordance with prior CHC classifications. Results also indicated overall intelligence (g) and fluid reasoning (Gf) were statistically indistinguishable. Findings provide further support that the CHC taxonomy is useful for intelligence test classification, interpretation, and development.

Suggested Citation

  • Caemmerer, Jacqueline M. & Keith, Timothy Z. & Reynolds, Matthew R., 2020. "Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory," Intelligence, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:intell:v:79:y:2020:i:c:s0160289620300118
    DOI: 10.1016/j.intell.2020.101433
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    References listed on IDEAS

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    1. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    2. Caemmerer, Jacqueline M. & Maddocks, Danika L.S. & Keith, Timothy Z. & Reynolds, Matthew R., 2018. "Effects of cognitive abilities on child and youth academic achievement: Evidence from the WISC-V and WIAT-III," Intelligence, Elsevier, vol. 68(C), pages 6-20.
    3. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    4. Reynolds, Matthew R. & Keith, Timothy Z., 2017. "Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition: What does it measure?," Intelligence, Elsevier, vol. 62(C), pages 31-47.
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    2. Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    3. Ji Hoon Ryoo & Sunhee Park & Hongwook Suh & Jaehwa Choi & Jongkyum Kwon, 2022. "Development of a New Measure of Cognitive Ability Using Automatic Item Generation and Its Psychometric Properties," SAGE Open, , vol. 12(2), pages 21582440221, April.
    4. Aija Klavina & Viktors Veliks & Inta Gulevska & Aleksandrs Aniscenko & Juris Porozovs & Anna Zusa, 2022. "Partly and Fully Supervised Physical Exercise Effects on Cognitive Functions and Movement Proficiency of Adolescents," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
    5. Protzko, John & Colom, Roberto, 2021. "A new beginning of intelligence research. Designing the playground," Intelligence, Elsevier, vol. 87(C).
    6. Michael D Coovert & Winston Bennett Jr, 2022. "The importance of identifying the dimensionality of constructs employed in simulation and training for AI," The Journal of Defense Modeling and Simulation, , vol. 19(2), pages 229-236, April.
    7. Reynolds, Matthew R. & Hajovsky, Daniel B. & Caemmerer, Jacqueline M., 2022. "The sexes do not differ in general intelligence, but they do in some specifics," Intelligence, Elsevier, vol. 92(C).
    8. Geary, David C., 2022. "Spatial ability as a distinct domain of human cognition: An evolutionary perspective," Intelligence, Elsevier, vol. 90(C).
    9. Vieira, Bruno Hebling & Pamplona, Gustavo Santo Pedro & Fachinello, Karim & Silva, Alice Kamensek & Foss, Maria Paula & Salmon, Carlos Ernesto Garrido, 2022. "On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting," Intelligence, Elsevier, vol. 93(C).

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