Factor Analysis at 100: Historical Developments and Future Directions

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 which 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, this 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 100will appeal to graduate students and researchers in the behavioral, social, health, and biological sciences that use this technique in their research. A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.

Robert Cudeck, Ph.D., is a Professor of Psychology at Ohio State University. A recipient of the Cattell Award for Distinguished Multivariate Research, Dr. Cudeck also served as President of the Psychometric Society in 2003. He received his Ph.D. in Quantitative Psychology from the University of Southern California.
Robert MacCallum, Ph.D., is a Professor of Psychology and Director of the L.L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill. A Consulting Editor for Psychological Methods and Multivariate Behavioral Research, Dr. MacCallum received his Ph.D. in Quantitative Psychology from the University of Illinois at Urbana-Champaign.