Mean Comparison: Manifest Variable versus Latent Variable

Autor/inn/en	Yuan, Ke-Hai; Bentler, Peter M.
Titel	Mean Comparison: Manifest Variable versus Latent Variable
Quelle	In: Psychometrika, 71 (2006) 1, S.139-159 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-004-1181-x
Schlagwörter	Robustness (Statistics); Item Response Theory + Suchen Sie Ihr Suchwort? Widerstandsfähigkeit; Item-Response-Theorie
Abstract	An extension of multiple correspondence analysis is proposed that takes into account cluster-level heterogeneity in respondents' preferences/choices. The method involves combining multiple correspondence analysis and k-means in a unified framework. The former is used for uncovering a low-dimensional space of multivariate categorical variables while the latter is used for identifying relatively homogeneous clusters of respondents. The proposed method offers an integrated graphical display that provides information on cluster-based structures inherent in multivariate categorical data as well as the interdependencies among the data. An empirical application is presented which demonstrates the usefulness of the proposed method and how it compares to several extant approaches. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10