A Multivariate Reduced-Rank Growth Curve Model with Unbalanced Data

Autor/inn/en	Hwang, Heungsun; Takane, Yoshio
Titel	A Multivariate Reduced-Rank Growth Curve Model with Unbalanced Data
Quelle	In: Psychometrika, 69 (2004) 1, S.65-79 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/BF02295840
Schlagwörter	Multivariate Analysis; Mathematical Models; Psychometrics; Matrices; Data Analysis + Suchen Sie Ihr Suchwort? Multivariate Analyse; Mathematical model; Mathematisches Modell; Psychometry; Psychometrie; Matrizenrechnung; Auswertung
Abstract	A multivariate reduced-rank growth curve model is proposed that extends the univariate reduced rank growth curve model to the multivariate case, in which several response variables are measured over multiple time points. The proposed model allows us to investigate the relationships among a number of response variables in a more parsimonious way than the traditional growth curve model. In addition, the method is more flexible than the traditional growth curve model. For example, response variables do not have to be measured at the same time points, nor the same number of time points. It is also possible to apply various kinds of basis function matrices with different ranks across response variables. It is not necessary to specify an entire set of basis functions in advance. Examples are given for illustration. (Author).
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Update	2017/4/10