Kenneth A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Departments of Psychology and Neuroscience and Sociology at the University of North Carolina at Chapel Hill. He is a leading expert in structural equation models and author of Structural Equations with Latent Variables (1989). Kenneth's pioneering work has earning him many prestigious awards including the Psychometric Society's Career Award for Lifetime Achievement, the Lazarsfeld Award for Distinguished Contributions to Sociological Methodology, and the Sells Award for Distinguished Multivariate Research.

'Ken Bollen has written yet another gem that any researcher should have on their book shelf. It is hard to believe he could top his original text on SEM, but that is exactly what he has done here. Elements offers a comprehensive and modern perspective on the foundations of SEM presented in a clear and accessible style by one of the world's experts in the field. This will serve as the gold standard for years to come.' Patrick J. Curran, Professor of Quantitative Psychology, University of North Carolina, USA

• 1. Introduction; 2. Building blocks and tools; 3. Multiple regression as a structural equation model; 4. Simultaneous equation models; 5. Confirmatory factor analysis; 6. Latent variable structural equation models; 7. Structural equation models with categorical indicators and outcomes; Afterword.

Kenneth A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Departments of Psychology and Neuroscience and Sociology at the University of North Carolina at Chapel Hill. He is a leading expert in structural equation models and author of Structural Equations with Latent Variables (1989). Kenneth's pioneering work has earning him many prestigious awards including the Psychometric Society's Career Award for Lifetime Achievement, the Lazarsfeld Award for Distinguished Contributions to Sociological Methodology, and the Sells Award for Distinguished Multivariate Research.

'Ken Bollen has written yet another gem that any researcher should have on their book shelf. It is hard to believe he could top his original text on SEM, but that is exactly what he has done here. Elements offers a comprehensive and modern perspective on the foundations of SEM presented in a clear and accessible style by one of the world's experts in the field. This will serve as the gold standard for years to come.' Patrick J. Curran, Professor of Quantitative Psychology, University of North Carolina, USA

• 1. Introduction; 2. Building blocks and tools; 3. Multiple regression as a structural equation model; 4. Simultaneous equation models; 5. Confirmatory factor analysis; 6. Latent variable structural equation models; 7. Structural equation models with categorical indicators and outcomes; Afterword.

Kenneth A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Departments of Psychology and Neuroscience and Sociology at the University of North Carolina at Chapel Hill. He is a leading expert in structural equation models and author of Structural Equations with Latent Variables (1989). Kenneth's pioneering work has earning him many prestigious awards including the Psychometric Society's Career Award for Lifetime Achievement, the Lazarsfeld Award for Distinguished Contributions to Sociological Methodology, and the Sells Award for Distinguished Multivariate Research.

'Ken Bollen has written yet another gem that any researcher should have on their book shelf. It is hard to believe he could top his original text on SEM, but that is exactly what he has done here. Elements offers a comprehensive and modern perspective on the foundations of SEM presented in a clear and accessible style by one of the world's experts in the field. This will serve as the gold standard for years to come.' Patrick J. Curran, Professor of Quantitative Psychology, University of North Carolina, USA

• 1. Introduction; 2. Building blocks and tools; 3. Multiple regression as a structural equation model; 4. Simultaneous equation models; 5. Confirmatory factor analysis; 6. Latent variable structural equation models; 7. Structural equation models with categorical indicators and outcomes; Afterword.