株式会社極東書店トップ商品一覧Factor Analysis: Classic Edition. 2nd edition

商品詳細

Factor Analysis: Classic Edition. 2nd edition

Factor Analysis: Classic Edition. 2nd edition

・ISBN 978-1-138-83199-5 paper GB£ 70.99

¥22,489.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781315735740
著者・編者Gorsuch, Richard L.,
シリーズ (Psychology Press & Routledge Classic Editions)
出版社 (Routledge, UK)
出版年月2014
ページ数444 pp.
言語ENG
ニュース番号<A01-54900>

解説

Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use.

Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today.

An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.