03420cam a2200409 i 4500 23177057 CSPC 20260923101656.0 230608s2024 cau b 001 0 eng 2023027337 9781071862506 (paperback ; alk. paper) 23177057 DLC eng rda DLC DLC CSPC pcc QA275 .H235 2024 511.42 H127a 23/eng/20231002 Hair, Joseph F., Jr., author. Advanced issues in partial least squares structural equation modeling / Joseph F. Hair, Jr., [and 3 others]. Second edition. Thousand Oaks, California ; London : Sage, 2024. xviii, 236 pages ; 24 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. An overview of recent and emerging developments in PLS-SEM -- Higher-order constructs -- Advanced modeling and model assessment -- Advanced results illustration -- Modeling observed heterogeneity -- Modeling unobserved heterogeneity. "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"-- Provided by publisher. Least squares. Structural equation modeling. Sastedt, Marko, author. Ringle, Christian M., author. Gudergan, Siegfried P., author. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 23 511.42 H127a CIR 2024 0 0 0 ddc 0 0 CSPC CSPC CIR 2026-09-23 0 CIR 511.42 H127a 2024 032568 2026-09-23 10:07:32 1-1 2026-09-23 BK 33391 33391