MTU Library Catalogue

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Modelling covariances and latent variables using EQS / G. Dunn, B. Everitt, and A. Pickles.

By: Dunn, G. (Graham), 1949-.
Contributor(s): Everitt, Brian | Pickles, Andrew.
Material type: materialTypeLabelBookPublisher: London ; New York : Chapman & Hall, 1993Description: xviii, 201 p. : ill. ; 24 cm. + pbk.ISBN: 0412489902 .Subject(s): EQS (Computer file) | Factor analysis -- Data processing | Social sciences -- Statistical methods -- Data processingDDC classification: 519.538
Contents:
Prelude: the ideas of covariance and of covariance structure -- Writing a simple EQS program: learning the language -- Statistical modelling in EQS -- Confirmatory factor analysis models -- Multitrait- multimethod and multiple indicator multiple cause models -- Models for longitudinal data -- Simultaneous analysis of two or more groups -- Common practical problems.

Enhanced descriptions from Syndetics:

This primer has been designed as a self-instructional text which serves to introduce the reader to both the principles of statistical modelling of covariance structures and to the use of the EQS software package. It is divided into three parts - the first covering the basic ideas and language of covariance structure modelling together with an introduction to the EQS package. The second section covers a wide variety of models suitable for cross-sectional and longitudinal data and the final section discusses a wide variety of practical problems. This book should be of interest to researchers in psychology, sociology and medicine who use the EQS software; applied and consultant statisticians.

Reference card inserted.

EQS: quick reference card inside back cover.

Includes bibliographical references (pages 193-194) and index.

Prelude: the ideas of covariance and of covariance structure -- Writing a simple EQS program: learning the language -- Statistical modelling in EQS -- Confirmatory factor analysis models -- Multitrait- multimethod and multiple indicator multiple cause models -- Models for longitudinal data -- Simultaneous analysis of two or more groups -- Common practical problems.

Author notes provided by Syndetics

Dunn, G; Everitt, Brian S.; Pickles, Andrew