This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS’ excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. 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.  • A wide variety of examples from multiple disciplines and real world contexts.  • Exercises for each chapter on an accompanying companion website.  • A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.

The Three Basic Models

In this chapter you are led through the various steps of structural equation modeling (SEM). On the way you will meet several problems that are connected with SEM.

Among the questions you will have to answer are: ‘Are there enough data to estimate the model?’, ‘Which estimation method should I use?’, ‘How do I get the computer to do what I want it to do?’, ‘How should I react to error messages?’ and ‘How do I interpret the computer output?’

As a soft introduction to EQS, you will learn how to program a traditional multiple regression model and how to interpret the output from such an analysis.

All through the chapter a number of concepts, which will be used in the remainder of ...

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