Latent variable models and factor analysis /

Latent variable models comprise an important branch of multivariate analysis. In particular, they are used to create a framework for reducing data from large scale statistical enquiries to manageable proportions. Factor analysis, a key latent variable model, has been effectively applied to problems...

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Bibliographic Details

Main Author:	Bartholomew, David J. (Author)
Format:	Book
Language:	English
Published:	London : New York : C. Griffin ; Oxford University Press, 1987.
Series:	Griffin's statistical monographs & courses ; no. 40.
Subjects:	Latent variables. Latent structure analysis. Factor analysis. Factor Analysis, Statistical. Variables latentes. Analyse de structure latente. Analyse factorielle. Faktorenanalyse. Latent-Class-Analyse. Latente Variable. Factoranalyse. Latente variabelen. analyse factorielle. Latent variable models
Summary:	Latent variable models comprise an important branch of multivariate analysis. In particular, they are used to create a framework for reducing data from large scale statistical enquiries to manageable proportions. Factor analysis, a key latent variable model, has been effectively applied to problems in sociology, geology, chemistry, and psychology. This book provides a latent-variable framework for psychometricians and statisticians in their specification and use of suitable research models. Several chapters explore fields where the data are categorical and the latent variables are metrical. -- Publisher description.