Factor Analysis at 100 (eBook, ePUB)

Historical Developments and Future Directions
Redaktion: Cudeck, Robert; MacCallum, Robert C.

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 384
• Erscheinungstermin: 6. März 2007
• Englisch
• ISBN-13: 9781135594039
• Artikelnr.: 38242773

Autorenporträt

Robert Cudeck and Robert C. MacCallum

Inhaltsangabe

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.