| 000 | 02428cam a2200253 i 4500 | ||
|---|---|---|---|
| 001 | 23177057 | ||
| 005 | 20250625151347.0 | ||
| 008 | 230608s2024 cau b 001 0 eng | ||
| 020 | _a9781071862506 | ||
| 040 |
_aCSL _cCSL |
||
| 084 |
_aB288 R4 _qCSL |
||
| 245 | 1 | 0 | _aAdvanced issues in partial least squares structural equation modeling |
| 250 | _a2nd ed. | ||
| 260 |
_aCalifornia : _bSAGE, _c2024. |
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| 264 | 1 | _a | |
| 300 |
_axviii, 236p. ; _b: ill. _c; 24 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 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"-- | ||
| 650 | 0 |
_aLeast squares. _9733071 |
|
| 650 | 0 |
_aStructural equation modeling. _9814571 |
|
| 650 | 0 | _aMultivariate analysis. | |
| 700 |
_aHair, Josheph F. _eauthor. _9814572 |
||
| 942 |
_2CC _cTEXL _e2nd ed. _hB288 R4 _n0 |
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| 999 |
_c1432934 _d1432934 |
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