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

"... 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

• Foreword -- Preface -- Acknowledgement and note -- Overview -- 1 Prelude: The ideas of covariance and of covariance structure -- 2 Writing a simple EQS program: learning the language -- 3 Statistical modelling in EQS -- 4 Confirmatory factor analysis models -- 5 Multi trait-multimethod and multiple indicator multiple cause models -- 6 Models for longitudinal data -- 7 Simultaneous analysis of two or more groups -- 8 Common practical problems -- References -- Index.

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

"... 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

• Foreword -- Preface -- Acknowledgement and note -- Overview -- 1 Prelude: The ideas of covariance and of covariance structure -- 2 Writing a simple EQS program: learning the language -- 3 Statistical modelling in EQS -- 4 Confirmatory factor analysis models -- 5 Multi trait-multimethod and multiple indicator multiple cause models -- 6 Models for longitudinal data -- 7 Simultaneous analysis of two or more groups -- 8 Common practical problems -- References -- Index.

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

"... 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

• Foreword -- Preface -- Acknowledgement and note -- Overview -- 1 Prelude: The ideas of covariance and of covariance structure -- 2 Writing a simple EQS program: learning the language -- 3 Statistical modelling in EQS -- 4 Confirmatory factor analysis models -- 5 Multi trait-multimethod and multiple indicator multiple cause models -- 6 Models for longitudinal data -- 7 Simultaneous analysis of two or more groups -- 8 Common practical problems -- References -- Index.