02742cam a2200265 i 4500003000400000005001700004008004100021020001800062040000800080082001500088100002100103245015700124250000900281260003800290300003600328504005100364505030300415520161700718546001202335650001902347650003402366700002102400700002602421700002902447RNL20260408095424.0230608s2024    cau      b    001 0 eng    a9781071862506  aRCL00a511.4 H15A1 aHair, Joseph F.,10aAdvanced Issues in Partial Least Squares Structural Equation Modeling c/ Joseph F. Hair, Jr, Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan  a2nd.  aLondon:bSage Publication,c2024.  axviii, 236p ; billustrations;   aIncludes bibliographical references and index.0 aChapter 1: An Overview of Recent and Emerging Developments in PLS-SEM    Chapter 2: Higher-order Constructs    Chapter 3: Advanced Modeling and Model Assessment    Chapter 4: Advanced Results Illustration    Chapter 5: Modeling Observed Heterogeneity    Chapter 6: Modeling Unobserved Heterogeneity  a"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"--  aEnglish 0aLeast squares. 0aStructural equation modeling.  aSarstedt, Marko   aRingle, Christian M.   aGudergan., Siegfried P.