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.
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 EQS can help you to obtain parsimony, i.e. to find as simple and uncomplicated (but still well-fitting) model as possible.
Then you will learn how confirmatory factor analysis can be used to select items for inclusion in a measurement model or for use in a ...
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