Robert Cudeck and Robert C. MacCallum

'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

• Contents: Preface. D. Bartholomew, Three Faces of Factor Analysis. L. Jones, Remembering L. L. Thurstone. R.D. Bock, Rethinking Thurstone. K. J”reskog, Factor Analysis and Its Extensions. K. Bollen, On the Origins of the Latent Curve Model in the Factor Analysis and Growth Curve Traditions. J. McArdle, Factor Analysis of Longitudinal Repeated Measures Data. R. Millsap, W. Meredith, Factorial Invariance: Historical Trends and New Problems. R. MacCallum, M.W. Browne, L. Cai, Factor Analysis Models as Approximations. K.F. Widaman, Common Factors vs. Components: Principals and Principles, Errors, and Misconceptions. J. Horn, Understanding Human Intelligence: Where Have We Come Since Spearman? J.R. Nesselroade, Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis. M.W. Browne, G. Zhang, Developments in the Factor Analysis of Individual Time Series. I. Moustaki, Factor Analysis and Latent Structure of Categorical and Metric Data. R. Jennrich, Rotation Methods, Algorithms, and Standard Errors. M. Wall, Y. Amemiya, A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling.

Robert Cudeck and Robert C. MacCallum

'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

• Contents: Preface. D. Bartholomew, Three Faces of Factor Analysis. L. Jones, Remembering L. L. Thurstone. R.D. Bock, Rethinking Thurstone. K. J”reskog, Factor Analysis and Its Extensions. K. Bollen, On the Origins of the Latent Curve Model in the Factor Analysis and Growth Curve Traditions. J. McArdle, Factor Analysis of Longitudinal Repeated Measures Data. R. Millsap, W. Meredith, Factorial Invariance: Historical Trends and New Problems. R. MacCallum, M.W. Browne, L. Cai, Factor Analysis Models as Approximations. K.F. Widaman, Common Factors vs. Components: Principals and Principles, Errors, and Misconceptions. J. Horn, Understanding Human Intelligence: Where Have We Come Since Spearman? J.R. Nesselroade, Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis. M.W. Browne, G. Zhang, Developments in the Factor Analysis of Individual Time Series. I. Moustaki, Factor Analysis and Latent Structure of Categorical and Metric Data. R. Jennrich, Rotation Methods, Algorithms, and Standard Errors. M. Wall, Y. Amemiya, A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling.

Robert Cudeck and Robert C. MacCallum

'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

• Contents: Preface. D. Bartholomew, Three Faces of Factor Analysis. L. Jones, Remembering L. L. Thurstone. R.D. Bock, Rethinking Thurstone. K. J”reskog, Factor Analysis and Its Extensions. K. Bollen, On the Origins of the Latent Curve Model in the Factor Analysis and Growth Curve Traditions. J. McArdle, Factor Analysis of Longitudinal Repeated Measures Data. R. Millsap, W. Meredith, Factorial Invariance: Historical Trends and New Problems. R. MacCallum, M.W. Browne, L. Cai, Factor Analysis Models as Approximations. K.F. Widaman, Common Factors vs. Components: Principals and Principles, Errors, and Misconceptions. J. Horn, Understanding Human Intelligence: Where Have We Come Since Spearman? J.R. Nesselroade, Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis. M.W. Browne, G. Zhang, Developments in the Factor Analysis of Individual Time Series. I. Moustaki, Factor Analysis and Latent Structure of Categorical and Metric Data. R. Jennrich, Rotation Methods, Algorithms, and Standard Errors. M. Wall, Y. Amemiya, A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling.