Essential Unidimensionality Examination for Multicomponent Scales: An Interrelationship Decomposition Approach

Autor/inn/en	Raykov, Tenko; Pohl, Steffi
Titel	Essential Unidimensionality Examination for Multicomponent Scales: An Interrelationship Decomposition Approach
Quelle	In: Educational and Psychological Measurement, 73 (2013) 4, S.581-600 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164412470451
Schlagwörter	Measures (Individuals); Statistical Analysis; Factor Structure; Correlation; Computation; Models; Rating Scales + Suchen Sie Ihr Suchwort? Messdaten; Statistische Analyse; Faktorenstruktur; Korrelation; Analogiemodell; Rating-Skala
Abstract	A procedure for examining essential unidimensionality in multicomponent measuring instruments is discussed. The method is based on an application of latent variable modeling and is concerned with the extent to which a common factor for all components of a given scale accounts for their correlations. The approach provides point and interval estimates of the proportion of observed measures interrelationships that is explained by the common factor, the proportion explained by possible additional factors, and of the difference in these two proportions. The procedure is readily used in empirical research using the popular software Mplus and is illustrated with a numerical example. (Contains 2 tables, 1 figure, and 5 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10