Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited edition takes into account the various developments that have occurred since the publication of the original edition.
New to the Second Edition
Presenting the mathematics only as needed to understand the derivation of an equation or procedure, this textbook prepares students for later courses on structural equation modeling. It enables them to choose the proper factor analytic procedure, make modifications to the procedure, and produce new results.
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Stanley A. Mulaik is a Professor Emeritus in the School of Psychology at the Georgia Institute of Technology.
Providing a practical, thorough understanding of how factor analysis works, this text discusses the assumptions underlying the equations and procedures of this method. This long-awaited second edition includes a new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation. It also contains a rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications as well as a revised chapter on confirmatory factor analysis. This edition offers more complete coverage of descriptive factor analysis and doublet factor analysis and explores the developments of factor score indeterminacy.
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