Items related to Foundations of Factor Analysis (Chapman & Hall/CRC...

Foundations of Factor Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) - Hardcover

Book 30 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Mulaik, Stanley A

 
9781420099614: Foundations of Factor Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Synopsis

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

  • A new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation
  • More complete coverage of descriptive factor analysis and doublet factor analysis
  • A rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications
  • Discussions on the developments of factor score indeterminacy
  • A revised chapter on confirmatory factor analysis that addresses philosophy of science issues, model specification and identification, parameter estimation, and algorithm derivation

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.

"synopsis" may belong to another edition of this title.

About the Author

Stanley A. Mulaik is a Professor Emeritus in the School of Psychology at the Georgia Institute of Technology.

From the Back Cover

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.

"About this title" may belong to another edition of this title.