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Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)

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Latent variables variables that cannot be observed directly have numerous applications particularly in psychometrics and sociology and this new edition provides a comprehensive and unified treatment. Extensively revised and including much recent work the book develops a framework for handling latent variables with standard statistical methods. It includes an introductory chapter followed by a careful development of the General Linear Latent Variable Model (GLLVM). A large class of latent variable models turns out to be special cases of GLLVM and the book devotes a number of chapters to specific models. The treatment aims to be mathematically complete and emphasizes questions of precision and goodness of fit. The book features numerous examples and concludes with a critique of some of the popular and widely used linear models.