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Online Public Access Catalogue

题名/责任者:

Advanced issues in partial least squares structural equation modeling / Joseph F. Hair, Jr., Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan.

版本说明:

Second edition.

出版发行项:

Thousand Oaks, California : Sage, [2024]

ISBN:

9781071862506

ISBN:

1071862502

载体形态项:

xviii, 236 pages : illustrations ; 23 cm

其他载体形态:

Electronic version: Hair, Joseph F., Jr., 1944- Advanced issues in partial least squares structural equation modeling. Second edition. Los Angeles : SAGE, 2024 9781071862537

个人责任者:

Hair, Joseph F., Jr., 1944- author.

附加个人名称:

Sarstedt, Marko, author.

附加个人名称:

Ringle, Christian M., author.

附加个人名称:

Gudergan, Siegfried, author.

论题主题:

Least squares.

论题主题:

Structural equation modeling.

中图法分类号:

O241.5

书目附注:

Includes bibliographical references and index.

摘要附注:

"Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. The book combines simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book. Furthermore, instead of providing technical descriptions of the concepts with a multitude of formulae, the book will focus on the appropriate analysis of data and interpretation of outputs. Many of the examples are based on the SmartPLS software, created and maintained by the authors. The book is easy to use for both independent and guided learning, including numerous graphs, tables, illustrations, multiple downloadable datasets (provided on a companion website), exercises, and further readings. This textbook is one of first applied, textbook on advanced issues in PLS-SEM, and thus be the first mover in this space. PLS-SEM is illustrated using the same case and database throughout the book. This facilitates consistency in the issues associated with the example and enhance learning. The text includes a brief review of basic concepts for the application of PLS-SEM. The advanced topics are covered in a manner that clearly demonstrates how students and researchers can apply the techniques to their research problems, and accurately interpret the results. Examples of some advanced topics include mediated moderation, unobserved heterogeneity, higher-order component models, suppressor effects, multi-group analyses, and so forth"--

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