Summary
Contents
Subject index
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field. The book includes: •Learning objectives, key concepts and questions for further discussion in each chapter •Helpful diagrams and screenshots to expand on concepts covered in the texts •Real life examples from a variety of disciplines to show hoe SEM is applied in real research contexts •Exercises for each chapter on an accompanying companion website •A new glossary at the end of book Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline.
Mean Structures and Multi-Group Analysis
Mean Structures and Multi-Group Analysis
We have hitherto analyzed only relations among variables, but not been very interested in the values of the variables. In this chapter you will learn how to estimate means of latent variables and compare means across groups.
As this necessitates estimation of intercepts in addition to regression weights, the chapter will start with an introduction to the analysis of mean structures. Therefore the input covariance matrix must be supplemented by the means of the manifest variables.
It is also time to look at how to estimate SEM in several groups at the same time and how to examine the degree to which models are equivalent across groups. You will learn how to judge the equivalence of a model across several ...
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