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Commentary

Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis

1
Department of Psychology, Claremont Graduate University, Claremont, CA 91711, USA
2
Institute of Psychology, ELTE Eotvos Lorand University, 1064 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Received: 21 September 2020 / Revised: 18 January 2021 / Accepted: 25 January 2021 / Published: 5 February 2021
In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network models, which is to improve compatibility between psychological theories and statistical models of intelligence. WAIS-IV data provided by McFarland were reanalyzed using latent variable and psychometric network modeling. The results are consistent with our previous study and show that a latent variable model and a network model both provide an adequate fit to the WAIS-IV. We therefore argue that model preference should be determined by theory compatibility. Theories of intelligence that posit a general mental ability (general intelligence) are compatible with latent variable models. More recent approaches, such as mutualism and process overlap theory, reject the notion of general mental ability and are therefore more compatible with network models, which depict the structure of intelligence as an interconnected network of cognitive processes sampled by a battery of tests. We emphasize the importance of compatibility between theories and models in scientific research on intelligence. View Full-Text
Keywords: intelligence; psychometric network analysis; latent variable modeling; statistical modeling; WAIS-IV; theory compatibility intelligence; psychometric network analysis; latent variable modeling; statistical modeling; WAIS-IV; theory compatibility
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MDPI and ACS Style

Schmank, C.J.; Goring, S.A.; Kovacs, K.; Conway, A.R.A. Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis. J. Intell. 2021, 9, 8. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9010008

AMA Style

Schmank CJ, Goring SA, Kovacs K, Conway ARA. Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis. Journal of Intelligence. 2021; 9(1):8. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9010008

Chicago/Turabian Style

Schmank, Christopher J., Sara A. Goring, Kristof Kovacs, and Andrew R.A. Conway 2021. "Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis" Journal of Intelligence 9, no. 1: 8. https://0-doi-org.brum.beds.ac.uk/10.3390/jintelligence9010008

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