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.

Latent Curve Models

The last few decades have seen rapid growth in the amount of longitudinal data -both public (government) data and commercial data (e.g. panel data in marketing research) - and a growing interest in methods for the analysis of such data. SEM has much to offer in that context.

The idea is that the repeated measurements are considered as manifestations of an underlying process that generates their so-called trajectory in much the same way as a latent variable generates the answers to items in a scale. This is the so-called latent curve model.

You will learn the subject through a simple example. As is now (I hope) your habit, you start the analysis with the measurement model and then introduce the structural model.

After this ...

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