A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)SAGE Publications, 30 Jun 2021 - 384 halaman The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity. |
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CHAPTER 1 AN INTRODUCTION TO STRUCTURAL EQUATION MODELING | 1 |
CHAPTER 2 SPECIFYING THE PATH MODEL AND EXAMINING DATA | 40 |
CHAPTER 3 PATH MODEL ESTIMATION | 85 |
EVALUATION OF THE REFLECTIVE MEASUREMENT MODELS | 109 |
EVALUATION OF THE FORMATIVE MEASUREMENT MODELS | 140 |
EVALUATION OF THE STRUCTURAL MODEL | 186 |
CHAPTER 7 MEDIATOR AND MODERATOR ANALYSIS | 228 |
CHAPTER 8 OUTLOOK ON ADVANCED METHODS | 271 |
GLOSSARY | 305 |
| 327 | |
| 352 | |
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apply ATTR Becker bootstrap confidence intervals bootstrap samples CB-SEM Chapter Cheah collinearity COMP comp_1 composite compute concept consider construct scores convergent validity corporate reputation correlations Cronbach's alpha CSOR CTA-PLS data set discriminant validity endogenous construct endogenous latent variable example exogenous formative indicators formative measurement models Gudergan Hair Henseler higher-order constructs HTMT indicator variables indirect effect interaction term latent variable scores least squares structural lower-order components mediating effect mediation analysis method missing values model estimation Modeling Window moderating effect moderator variable multigroup analysis Nitzl option outer loadings outer weights parameter partial least squares path coefficients PLS path model PLS-SEM algorithm PLS-SEM results predictive power procedure R˛ values reflective measurement models regression researchers Rigdon Ringle Sarstedt scale shown in Exhibit significance level SmartPLS software Sobel test specific squares structural equation standard statistical statistical power structural equation modeling target construct tetrad analysis tetrads theoretical variance weighting scheme