Saturday, April 7, 2012

Factor Analysis at 100

Factor Analysis at 100



Author:
Edition: 1
Publisher: Routledge Academic
Binding: Paperback
ISBN: 0805862129



Factor Analysis at 100: Historical Developments and Future Directions


Factor analysis is one of the success stories of statistics in the social sciences. Medical books Factor Analysis at 100. 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 Medical books Factor Analysis At 100: Historical Developments And Future Directions By.... format paperback language english publication year 15 01 2007 subject social sciences subject 2 sociology anthropology professional ean 9780805862126 title factor analysis at 100 sku st 0805862129 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here content note illustrations country of publication united states date of publicatio

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format paperback language english publication year 15 01 2007 subject social sciences subject 2 sociology anthropology professional ean 9780805862126 title factor analysis at 100 sku st 0805862129 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here content note illustrations country of publication united states date of publicatio

Store Search search Title, ISBN and Author Factor Analysis at 100: Historical Developments and Future Directions Estimated delivery 4-14 business days Format Paperback Condition Brand New 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 ma

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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



Medical Book Factor Analysis at 100



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.

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