Modelling Covariances and Latent Variables Using EQS

by Andrew Pickles (Author), G Dunn (Author), Andrew Pickles (Author), Brian S. Everitt (Author), G Dunn (Author)

New
Paperback
1993
$128.03

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.

Synopsis

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.

$128.03

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More Information

Format: Paperback
Pages: 224
Edition: 1
Publisher: Chapman and Hall/CRC
Published: 01 Aug 1993
ISBN 10: 0412489902
ISBN 13: 9780412489907

Media Reviews

... reading this book would be highly recommended prior to carrying out... analyses. -Australian & New Zealand Physicist In writing this book, the authors have made an important contribution to the applied literature on structural equation modelling... sure to become and invaluable reference... The writing is clear, the exercises are excellent, lots of input and output are included, and the range of topics discussed is large. -Statistical Methods in Medical Research In conclusion, I like the book, use it myself, and recommend it to teachers and students of statistics, as well as applied researchers who wish to learn about covariance modelling. Last but not least, you get good value for the price you pay. -Computational Statistics