Factor Analysis at 100: Historical Developments and Future Directions

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More About This Textbook

Overview

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its, wide appeal is that it provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. Because of its importance, a recent conference was held to mark the centennial of the publication of Charles Spearman's seminal 1904 article that introduced the major elements of this invaluable statistical tool. This new book evolved from that conference. It provides a retrospective look at major issues and developments as well as a prospective view of future directions in factor analysis and related methods. 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, the volume offers unique insights on factor analysis and its related methods. Several chapters have a clear historical perspective, while others present new ideas along with historical summaries. In addition, 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. Factor Analysis at 100 will appeal to graduate students and researchers in the behavioral, social, health, and biological sciences that use factor analysis in their research. A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.

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Product Details

  • ISBN-13: 9780805862126
  • Publisher: Taylor & Francis
  • Publication date: 1/1/2007
  • Edition description: New Edition
  • Pages: 384
  • Product dimensions: 5.90 (w) x 8.90 (h) x 1.00 (d)

Table of Contents


Preface     ix
Acknowledgments     xiii
Factor Analysis in the Year 2004: Still Spry at 100   Robert Cudeck     1
Three Faces of Factor Analysis   David J. Bartholomew     9
Remembering L. L. Thurstone   Lyle V. Jones     23
Rethinking Thurstone   R. Darrell Bock     35
Factor Analysis and Its Extensions   Karl G Joreskog     47
On the Origins of Latent Curve Models   Kenneth A. Bollen     79
Five Steps in the Structural Factor Analysis of Longitudinal Data   John J. McArdle     99
Factorial Invariance: Historical Perspectives and New Problems   Roger E. Millsap   William Meredith     131
Factor Analysis Models as Approximations   Robert C. MacCallum   Michael W. Browne   Li Cai     153
Common Factors Versus Components: Principals and Principles, Errors and Misconceptions   Keith F. Widaman     177
Understanding Human Intelligence Since Spearman   John L. Horn   John J. McArdle     205
Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis   John R. Nesselroade     249
Developments in the Factor Analysis of Individual TimeSeries   Michael W. Browne   Guangjian Zhang     265
Factor Analysis and Latent Structure of Categorical and Metric Data   Irini Moustaki     293
Rotation Methods, Algorithms, and Standard Errors   Robert I. Jennrich     315
A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling   Melanie M. Wall   Yasuo Amemiya     337
Contributors     363
Author Index     369
Subject Index     377
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