株式会社極東書店トップ商品一覧Structural Equation Modeling With EQS : Basic Concepts, Applications, and Programming, Second Edition. 2nd edition.

商品詳細

Structural Equation Modeling With EQS

Structural Equation Modeling With EQS : Basic Concepts, Applications, and Programming, Second Edition. 2nd edition.

・ISBN 978-0-8058-4126-8 paper GB£ 68.99

¥21,855.- (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 9780203726532
著者・編者Byrne, Barbara M.,
シリーズMultivariate Applications Series
出版社(Routledge, US)
出版年月2006
ページ数454 pp.
言語ENG
ニュース番号<M25-11343>

解説

Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models.

Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling.

The new edition features:

  • many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model;
  • downloadable resources includes all application data;
  • vignettes illustrating procedural and/or data management tasks; and
  • description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.