Structural Equation Modeling with EQS and EQS/WINDOWS

Foreword - Peter M Bentler PART ONE: INTRODUCTION Structural Equation Models Using the EQS Program PART TWO: SINGLE-GROUP ANALYSES Application 1 Testing the Factorial Validity of a Theoretical Construct (1st-order CFA Model) Application 2 Testing the Factorial Validity of a Measuring Instrument (1st-order CFA Model) Application 3 Testing the Factorial Validity of a Measuring Instrument (2nd-order CFA Model) Application 4 Testing for Construct Validity Via the Multitrait-Multimethod Model Application 5 Testing the Validity of a Causal Structure PART THREE: MULTIPLE GROUP ANALYSES Application 6 Testing for Invariant Factorial Structure of a Theoretical Construct (1st-order CFA Model) Application 7 Testing for Invariant Factorial Structure of a Measuring Instrument (1st-order CFA Model) Application 8 Testing for Invariant Latent Mean Structures Application 9 Testing for Invariant Causal Structure PART FOUR: WINDOW TREATMENTS: A LOOK AT EQS/WINDOWS (VERSION 4) Introduction to EQS/Windows Application 10 Preliminary Data-Screening Analyses Application 11 Building an EQS Model File - Instantly!

"Byrne's book is a delightfully written, systematic approach to the practical use of structural equation modeling in research. It begins with first principles and advances systematically through intermediate and advanced topics, introducing at each step the theory that is relevant as well as the practical models needed to implement these ideas on real models used in actual research contexts. The reader can then easily modify the examples for their own research since the types of models discussed will be relevant in many research contexts. The book is also timely, being the first text to show how statistics generally, and modeling in particular, can be fun in the Windows environment." -- Peter M. Bentler ". . . . Newcomers to SEM who want to use EQS or EQS/Windows would benefit greatly from this book, either for self-teaching or as a supplemental guide in a course. . . . Byrne intends her books 'to provide a practical guide to SEM using the EQS approach.' She succeeds admirably." -- George R. Franke * Journal of Marketing Research *