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Factor Analysis at 100: Historical Developments and Future Directions

Cudeck, Robert (editor); MacCallum, Robert C. (editor)

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ISBN 10: 0805853472 / ISBN 13: 9780805853476
Published by Lawrence Erlbaum Associates Inc., Mahwah NJ, 2007
Used Condition: Very Good Hardcover
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Size: 8vo - over 7" - 9" tall. Text unmarked. Boards lightly rubbed. Quantity Available: 1. ISBN: 0805853472. Pictures of this item not already displayed here available upon request. Inventory No: 123918. Additional shipping may be required for international orders. Please inquire. Bookseller Inventory # 123918

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Bibliographic Details

Title: Factor Analysis at 100: Historical ...

Publisher: Lawrence Erlbaum Associates Inc., Mahwah NJ

Publication Date: 2007

Binding: Hardcover

Book Condition:Very Good

Dust Jacket Condition: No Dust Jacket

About this title

Synopsis:

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 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 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 100 will appeal to 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.

About the Author:

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.

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