This book provides a retrospective look at major developments as well as a prospective view of future directions in factor analysis. In so doing, it demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research. Featuring an outstanding collection of contributors, this volume offers unique insights on factor analysis and its related methods. The book reviews some of the extensions of factor analysis to such techniques as latent growth curve models, models for categorical data, and structural equation models. Intended for graduate students and researchers in the behavioral, social, health, and biological sciences who use this technique in their research, a basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.
Table of Contents:
Preface, Acknowledgments, 1. Factor Analysis in the Year 2004: Still Spry at 100, 2. Three Faces of Factor Analysis, 3. Remembering L.L.Thurstone, 4. Rethinking Thurstone, 5. Factor Analysis and Its Extensions, 6. On the Origins of Latent Curve Models, 7. Five Steps in the Structural Factor Analysis of Longitudinal Data, 8. Factorial Invariance: Historical Perspectives and New Problems, 9. Factor Analysis Models as Approximations, 10. Common Factors Versus Components: Principals and Principles, Errors and Misconceptions, 11. Understanding Human Intelligence Since Spearman, 12. Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis, 13. Developments in the Factor Analysis of Individual Time Series, 14. Factor Analysis and Latent Structure of Categorical and Metric Data, 15. Rotation Methods, Algorithms, and Standard Errors, 16. A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling, Contributors, Author Index, Subject Index
About the Author :
Robert Cudeck and Robert C. MacCallum
Review :
'This text will certainly be exceptionally useful in a variety of contexts for a variety of audiences.' - Kevin L. Ladd, PsycCRITIQUES
'This book is all about factor analysis (FA), its history, development, developers, theory, applications, and variations during the past 100 years […] a volume full of interesting, both methodological and historical details […] it is not just history. It is also a fresh look at the future [...] The book is worth reading just for curiosity, but many of the chapters will serve well as a supplementary material for courses of these topics.' - Kimmo Vehkalahti, International Statistical Review
"This text will certainly be exceptionally useful in a variety of contexts for a variety of audiences."- Kevin L. Ladd, PsycCRITIQUES
"This book is all about factor analysis (FA), its history, development, developers, theory, applications, and variations during the past 100 years […] a volume full of interesting, both methodological and historical details […] it is not just history. It is also a fresh look at the future [...] The book is worth reading just for curiosity, but many of the chapters will serve well as a supplementary material for courses of these topics." - Kimmo Vehkalahti, International Statistical Review
"There is much of value in this volume. This volume presents a wide-ranging overview of factor analysis. We recommend it to anyone who wants to expand their perspective on modeling educational and psychological data." - Neil J. Dorans and Longjuan Liang, Educational Testing Service, Journal of Educational Measurement
