Multivariate Analysis with LISREL

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Bol This second edition of a classic text offers an extensively revised and updated treatment of multivariate statistical analysis and its practical implementation using the LISREL program. In addition to core topics such as structural equation modeling, confirmatory and exploratory factor analyses, regression, principal component analysis, and longitudinal data analysis, it introduces two new chapters on models for twin data and simulation, and adds important new sections on time series analysis, mediation and moderation, interaction models, and multitrait-multimethod models. Combining statistical theory and methods with practical guidance, the book provides numerous illustrative examples from economics, psychology, sociology, meteorology, and genetics. Each example includes LISREL input and output, with detailed interpretations of results. The numerical algorithms used by LISREL for model estimation are also explained. Ideal for master’s and PhD students as well as researchers in the social, behavioral, economic, and related sciences, this volume can also serve as a comprehensive textbook for courses on multivariate statistical analysis.

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Bol

This second edition of a classic text offers an extensively revised and updated treatment of multivariate statistical analysis and its practical implementation using the LISREL program. In addition to core topics such as structural equation modeling, confirmatory and exploratory factor analyses, regression, principal component analysis, and longitudinal data analysis, it introduces two new chapters on models for twin data and simulation, and adds important new sections on time series analysis, mediation and moderation, interaction models, and multitrait-multimethod models. Combining statistical theory and methods with practical guidance, the book provides numerous illustrative examples from economics, psychology, sociology, meteorology, and genetics. Each example includes LISREL input and output, with detailed interpretations of results. The numerical algorithms used by LISREL for model estimation are also explained. Ideal for master’s and PhD students as well as researchers in the social, behavioral, economic, and related sciences, this volume can also serve as a comprehensive textbook for courses on multivariate statistical analysis.

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Pagina's: 473, Editie: Second Edition 2026, Hardcover, Springer


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  • 9783032243058
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