Stanley A Mulaik

Foundations of Factor Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 548
• Erscheinungstermin: 25. September 2009
• Englisch
• ISBN-13: 9781420099812
• Artikelnr.: 57160202

Autorenporträt

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

Inhaltsangabe

Introduction. Mathematical Foundations for Factor Analysis. Composite
Variables and Linear Transformations. Multiple and Partial Correlations.
Multivariate Normal Distribution. Fundamental Equations of Factor Analysis.
Methods of Factor Extraction. Common-Factor Analysis. Other Models of
Factor Analysis. Factor Rotation. Orthogonal Analytic Rotation. Oblique
Analytic Rotation. Factor Scores and Factor Indeterminacy. Factorial
Invariance. Confirmatory-Factor Analysis. References. Indices.