Multivariate Analysis with LISREL
Softcover reprint of the original 1st ed. 2016
Book Details
Format
Paperback / Softback
Book Series
Springer Series in Statistics
ISBN-10
3319814400
ISBN-13
9783319814407
Edition
Softcover reprint of the original 1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 28th, 2018
Print length
557 Pages
Product Classification:
Social research & statisticsSocial research and statisticsPsychological testing & measurementPsychological testing and measurementSales & marketingSales and marketingProbability & statisticsProbability and statisticsMathematical & statistical softwareMathematical and statistical software
Ksh 23,400.00
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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.
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.
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