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Factor analysis at 100 : historical developments and future directions

Author: Robert Cudeck; Robert C MacCallum
Publisher: Mahwah, N.J. : Lawrence Erlbaum Associates, 2007.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Factor analysis is one of the success stories of statistics in the social sciences. It provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. This book demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research.
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Genre/Form: Electronic books
History
Additional Physical Format: Print version:
Factor analysis at 100.
Mahwah, N.J. : Lawrence Erlbaum Associates, 2007
(DLC) 2006015919
(OCoLC)69020954
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Robert Cudeck; Robert C MacCallum
ISBN: 9781410615800 1410615804
OCLC Number: 187004888
Description: 1 online resource (xiii, 381 pages) : illustrations
Contents: Factor analysis in the year 2004: still spry at 100 / Robert Cudeck --
Three faces of factor analysis / David J. Bartholomew --
Remembering L.L. Thurstone / Lyle V. Jones --
Rethinking Thurstone / R. Darrell Bock --
Factor analysis and its extensions / Karl G. Jöreskog --
On the origins of latent curve models / Kenneth A. Bollen --
Five steps in the structural factor analysis of longitudinal data / John J. McArdle --
Factorial invariance: historical perspectives and new problems / Roger E. Millsap and William Meredith --
Factor analysis models as approximations / Robert C. MacCallum, Michael W. Browne, and Li Cai --
Common factors versus components: principals and principles, errors and misconceptions / Keith F. Widaman --
Understanding human intelligence since Spearman / John L. Horn and John J. McArdle --
Factoring at the individual level: some matters for the second century of factor analysis / John R. Nesselroade --
Developments in the factor analysis of individual time series / Michael W. Browne and Guangjian Zhang --
Factor analysis and latent structure of categorical and metric data / Irini Moustaki --
Rotation methods, algorithms, and standard errors / Robert I. Jennrich --
A review of nonlinear factor analysis and nonlinear structural equation modeling / Melanie M. Wall and Yasuo Amemiya.
Other Titles: Factor analysis at one hundred
Responsibility: edited by Robert Cudeck and Robert C. MacCallum.

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Factor analysis is one of the success stories of statistics in the social sciences. It provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual  Read more...

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"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, Read more...

 
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