Summary
Contents
Subject index
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.
Introduction
Introduction
After a presentation and an overview of the contents of the whole book, this chapter continues with an intuitive introduction to structural equation modeling (SEM) by presenting a few examples of such modeling.
These models are very simple, but are chosen to illustrate the broad spectrum of research problems that can be analyzed by the collection of tools in the bag called SEM. This will not only acquaint you with prototypes of problems and models discussed in more depth in later chapters, but also stress the way SEM solves the problem of measuring the vague concepts often met in the social and behavioral sciences (intelligence, preference, social status, attitude, literacy and the like), for which no generally accepted measuring instruments exist.
A short outline of ...
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