000			02832cam a2200289 i 4500
003			RNL
005			20260408095424.0
008			230608s2024 cau b 001 0 eng
020			_a9781071862506
040			_aRCL
082	0	0	_a511.4 H15A
100	1		_aHair, Joseph F., _928658
245	1	0	_aAdvanced Issues in Partial Least Squares Structural Equation Modeling _c/ Joseph F. Hair, Jr, Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan
250			_a2nd.
260			_aLondon: _bSage Publication, _c2024.
300			_axviii, 236p ; _billustrations;
504			_aIncludes bibliographical references and index.
505	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
520			_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"--
546			_aEnglish
650		0	_aLeast squares. _931145
650		0	_aStructural equation modeling. _931146
700			_aSarstedt, Marko _931149
700			_aRingle, Christian M. _931148
700			_aGudergan., Siegfried P. _931150
942			_cBK
999			_c48126 _d48126