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.
The Measurement Model in SEM: Confirmatory Factor Analysis
The Measurement Model in SEM: Confirmatory Factor Analysis
We start by examining the differences between the three models, which are usually put under the common designation of factor analysis: namely, principal components analysis, exploratory factor analysis and confirmatory factor analysis - the latter being in fact the measurement model of SEM.
Next, you will learn two rules for identification in confirmatory factor models and you will explore estimation of confirmatory factor models through a classic example. You will also learn how AMOS can help you to obtain parsimony, i.e. to find as simple and uncomplicated (but still well-fitting) model as possible and how you can estimate several models in the same run.
Then you will learn how confirmatory factor analysis can be used to select items ...
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