Karl G. Jöreskog – författare
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2 produkter
2 produkter
- Nyhet
Inbunden, Engelska, 2026
1 722 kr
Skickas inom 10-15 vardagar
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.
Häftad, Engelska, 2018
1 755 kr
Skickas inom 5-8 vardagar
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.