Psychometric Network Analysis of the Hungarian WAIS

Autor/inn/en	Schmank, Christopher J.; Goring, Sara Anne; Kovacs, Kristof; Conway, Andrew R. A.
Titel	Psychometric Network Analysis of the Hungarian WAIS
Quelle	In: Journal of Intelligence, 7 (2019), Artikel 21 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Schmank, Christopher J.) ORCID (Kovacs, Kristof)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Psychometrics; Network Analysis; Foreign Countries; Adults; Intelligence Tests; Factor Analysis; Hungary; Wechsler Adult Intelligence Scale + Suchen Sie Ihr Suchwort? Psychometry; Psychometrie; Netzplantechnik; Ausland; Intelligence test; Intelligenztest; Faktorenanalyse; Ungarn
Abstract	The positive manifold--the finding that cognitive ability measures demonstrate positive correlations with one another--has led to models of intelligence that include a general cognitive ability or general intelligence (g). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory of intelligence, Process Overlap Theory (POT), posits that g is not a psychological attribute but an index of cognitive abilities that results from an interconnected network of cognitive processes. These competing theories of intelligence are compared using two different statistical modeling techniques: (a) latent variable modeling and (b) psychometric network analysis. Network models display partial correlations between pairs of observed variables that demonstrate direct relationships among observations. Secondary data analysis was conducted using the Hungarian Wechsler Adult Intelligence Scale Fourth Edition (H-WAIS-IV). The underlying structure of the H-WAIS-IV was first assessed using confirmatory factor analysis assuming a reflective, higher-order model and then reanalyzed using psychometric network analysis. The compatibility (or lack thereof) of these theoretical accounts of intelligence with the data are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01