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

Autor/inn/en	Schmank, Christopher J.; Goring, Sara Anne; Kovacs, Kristof; Conway, Andrew R. A.
Titel	Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis
Quelle	In: Journal of Intelligence, 9 (2021), Artikel 8 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Schmank, Christopher J.) ORCID (Kovacs, Kristof) ORCID (Conway, Andrew R. A.)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2079-3200
Schlagwörter	Stellungnahme; Intelligence; Psychometrics; Cognitive Structures; Structural Equation Models; Misconceptions; Adults; Intelligence Tests; Theories; Wechsler Adult Intelligence Scale + Suchen Sie Ihr Suchwort? Intelligenz; Klugheit; Psychometry; Psychometrie; Cognitive structure; Kognitive Struktur; Missverständnis; Intelligence test; Intelligenztest; Theory; Theorie
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01