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 ...
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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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UsedGood. Hardcover; McGraw-Hill Series in Psychology; surplus library copy with the usual stampings and reference number taped to the spine; fading and shelf w ear to exterior; otherwise in good condition with clean text and tight bind ing.
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Near Fine in Very Good jacket. Hardback in near fine condition with very good + condition dust jacket. Name written on 1st blank page. Dust jacket is in mylar sleeve.
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Very Good+ in Very Good+ dust jacket. 007043980X. Lean, faint toning, and jacket with faint toning and rubbing, short chip to front flap.; Mcgraw-Hill Series In Psychology; 8vo 8"-9" tall.