Confirmatory Composite Analysis in Human Development Research

Autor/inn/en	Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg
Titel	Confirmatory Composite Analysis in Human Development Research
Quelle	In: International Journal of Behavioral Development, 47 (2023) 1, S.89-100 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Schamberger, Tamara) ORCID (Henseler, Jörg)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/01650254221117506
Schlagwörter	Individual Development; Factor Analysis; Statistical Analysis; Structural Equation Models; Evaluation Methods; Goodness of Fit + Suchen Sie Ihr Suchwort? Individuelle Entwicklung; Faktorenanalyse; Statistische Analyse
Abstract	Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA's use by means of an illustrative example. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01