Advanced issues in partial least squares structural equation modeling:
The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of the Primer by the same author team. This brief text features the newly-released SmartPLS 4 software
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks
Sage
[2024]
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of the Primer by the same author team. This brief text features the newly-released SmartPLS 4 software |
| Physical Description: | xviii, 236 Seiten Illustrationen, Diagramme 229 mm |
| ISBN: | 9781071862506 |
Staff View
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BRIEF CONTENTS xi Preface About the Authors xvii Chapter 1 An Overview of Recent and Emerging Developments in PLS-SEM 1 Chapter? Higher-Order Constructs 33 Chapter3 Advanced Modeling and Model Assessment 57 Chapter 4 Advanced Results Illustration 91 Chapter 5 Modeling Observed Heterogeneity 133 Chapter 6 Modeling Unobserved Heterogeneity 167 Glossary 201 References 211 Index 231 v
DETAILED CONTENTS xi Preface About the Authors Chapter 1 xvii An Overview of Recent and Emerging Developments in PLS-SEM 1 Chapter Preview 1 Origins and Evolution of PLS-SEM 1 Model Specification 5 Model Estimation 9 The Original PLS-SEM Algorithm 9 The Weighted PLS-SEM Algorithm 11 Consistent PLS-SEM 12 Principles of PLS-SEM 14 Philosophy of Measurement 14 Parameter Estimation Accuracy 15 Model Estimation Implications 19 Organization of the Remaining Chapters 20 Case Study Illustration 23 Corporate Reputation Model PLS-SEM Software Setting Up the Model in SmartPLS Summary 23 26 26 29 Review Questions 30 Critical Thinking Questions 30 Key Terms 31 Suggested Readings 31 Chapter 2 Higher-Order Constructs 33 Chapter Preview 33 Higher-Order Constructs 33 Terminology and Motivation Types of Higher-Order Constructs 33 36 vii
viii Advanced Issues in PLS-SEM Specifying Higher-Order Constructs 41 Overview 41 The Embedded Two-Stage Approach 42 The Disjoint Two-Stage Approach 43 Recommendations 43 Estimating Higher-Order Constructs 44 Validating Higher-Order Constructs 45 Rules of Thumb 47 Case Study Illustration 47 Summary 53 Review Questions 54 Critical Thinking Questions 54 Key Terms 55 Suggested Readings 55 Chapter 3 Advanced Modeling and Model Assessment 57 Chapter Preview 57 Nonlinear Relationships 58 Modeling Quadratic Effects in PLS-SEM 61 Evaluation of Nonlinear Effects 63 Results Interpretation 65 Case Study Illustration 66 Confirmatory Tetrad Analysis 71 Method 71 Case Study Illustration 79 Summary 86 Review Questions 87 Critical Thinking Questions 88 Key Terms 88 Suggested Readings 89 Chapter 4 Advanced Results Illustration 91 Chapter Preview 91 Necessary Conditions Analysis 92 Purpose and Method 92 Identifying Necessary Conditions 94 Considerations When Running an NCA 97 Results Interpretation 98 Case Study Illustration 99
Detailed Contents Importance-Performance Map Analysis ix 105 Overview 105 Systematic IPMA Execution 107 Step 1: Requirements Check 107 Step 2: Computation of the Performance Values 109 Step 3: Computation of the Importance Values 112 Step 4: Importance-Performance Map Creation 116 Step 5: Extension of the IPMA to the Indicator Level Case Study Illustration 117 119 Summary 128 Review Questions 129 Critical Thinking Questions 130 KeyTerms 130 Suggested Readings 130 Chapters Modeling Observed Heterogeneity Chapter Preview 133 133 Observed and Unobserved Heterogeneity 134 Testing for Measurement Model Invariance 136 Step 1: Configurai Invariance 138 Step 2: Compositional Invariance 139 Step 3: Equality of Composite Mean Values and Variances 142 Multigroup Analysis 144 Parametric MGA 145 Bootstrap MGA 146 Permutation Test 148 Comparing More Than Two Groups 149 Recommendations 150 Case Study Illustration 152 Summary 163 Review Questions 164 Critical Thinking Questions 164 KeyTerms 165 Suggested Readings 165 Chapter 6 Modeling Unobserved Heterogeneity Chapter Preview 167 167 Uncovering Unobserved Heterogeneity in PLS Path Models 168 Step 1: Run the FIMIX-PLS Procedure 171
X Advanced Issues in PLS-SEM Step 2: Determine the Number of Segments 172 Step 3: Run the PLS-POS Procedure 175 Step 4: Explain the Latent Segment Structure 180 Step 5: Analyze group-specific models 182 Case Study Illustration 184 Step 1: Run the FIMIX-PLS Procedure 184 Step 2: Determine the Number of Segments Step 3: Run the PLS-POS Procedure 186 188 Step 4: Explain the Latent Segment Structure 190 Step 5: Analyze group-specific models 193 Summary 197 Review Questions 198 Critical Thinking Questions 199 Key Terms 199 Suggested Readings 200 Glossary 201 References 211 Index 231 |
| adam_txt |
BRIEF CONTENTS xi Preface About the Authors xvii Chapter 1 An Overview of Recent and Emerging Developments in PLS-SEM 1 Chapter? Higher-Order Constructs 33 Chapter3 Advanced Modeling and Model Assessment 57 Chapter 4 Advanced Results Illustration 91 Chapter 5 Modeling Observed Heterogeneity 133 Chapter 6 Modeling Unobserved Heterogeneity 167 Glossary 201 References 211 Index 231 v
DETAILED CONTENTS xi Preface About the Authors Chapter 1 xvii An Overview of Recent and Emerging Developments in PLS-SEM 1 Chapter Preview 1 Origins and Evolution of PLS-SEM 1 Model Specification 5 Model Estimation 9 The Original PLS-SEM Algorithm 9 The Weighted PLS-SEM Algorithm 11 Consistent PLS-SEM 12 Principles of PLS-SEM 14 Philosophy of Measurement 14 Parameter Estimation Accuracy 15 Model Estimation Implications 19 Organization of the Remaining Chapters 20 Case Study Illustration 23 Corporate Reputation Model PLS-SEM Software Setting Up the Model in SmartPLS Summary 23 26 26 29 Review Questions 30 Critical Thinking Questions 30 Key Terms 31 Suggested Readings 31 Chapter 2 Higher-Order Constructs 33 Chapter Preview 33 Higher-Order Constructs 33 Terminology and Motivation Types of Higher-Order Constructs 33 36 vii
viii Advanced Issues in PLS-SEM Specifying Higher-Order Constructs 41 Overview 41 The Embedded Two-Stage Approach 42 The Disjoint Two-Stage Approach 43 Recommendations 43 Estimating Higher-Order Constructs 44 Validating Higher-Order Constructs 45 Rules of Thumb 47 Case Study Illustration 47 Summary 53 Review Questions 54 Critical Thinking Questions 54 Key Terms 55 Suggested Readings 55 Chapter 3 Advanced Modeling and Model Assessment 57 Chapter Preview 57 Nonlinear Relationships 58 Modeling Quadratic Effects in PLS-SEM 61 Evaluation of Nonlinear Effects 63 Results Interpretation 65 Case Study Illustration 66 Confirmatory Tetrad Analysis 71 Method 71 Case Study Illustration 79 Summary 86 Review Questions 87 Critical Thinking Questions 88 Key Terms 88 Suggested Readings 89 Chapter 4 Advanced Results Illustration 91 Chapter Preview 91 Necessary Conditions Analysis 92 Purpose and Method 92 Identifying Necessary Conditions 94 Considerations When Running an NCA 97 Results Interpretation 98 Case Study Illustration 99
Detailed Contents Importance-Performance Map Analysis ix 105 Overview 105 Systematic IPMA Execution 107 Step 1: Requirements Check 107 Step 2: Computation of the Performance Values 109 Step 3: Computation of the Importance Values 112 Step 4: Importance-Performance Map Creation 116 Step 5: Extension of the IPMA to the Indicator Level Case Study Illustration 117 119 Summary 128 Review Questions 129 Critical Thinking Questions 130 KeyTerms 130 Suggested Readings 130 Chapters Modeling Observed Heterogeneity Chapter Preview 133 133 Observed and Unobserved Heterogeneity 134 Testing for Measurement Model Invariance 136 Step 1: Configurai Invariance 138 Step 2: Compositional Invariance 139 Step 3: Equality of Composite Mean Values and Variances 142 Multigroup Analysis 144 Parametric MGA 145 Bootstrap MGA 146 Permutation Test 148 Comparing More Than Two Groups 149 Recommendations 150 Case Study Illustration 152 Summary 163 Review Questions 164 Critical Thinking Questions 164 KeyTerms 165 Suggested Readings 165 Chapter 6 Modeling Unobserved Heterogeneity Chapter Preview 167 167 Uncovering Unobserved Heterogeneity in PLS Path Models 168 Step 1: Run the FIMIX-PLS Procedure 171
X Advanced Issues in PLS-SEM Step 2: Determine the Number of Segments 172 Step 3: Run the PLS-POS Procedure 175 Step 4: Explain the Latent Segment Structure 180 Step 5: Analyze group-specific models 182 Case Study Illustration 184 Step 1: Run the FIMIX-PLS Procedure 184 Step 2: Determine the Number of Segments Step 3: Run the PLS-POS Procedure 186 188 Step 4: Explain the Latent Segment Structure 190 Step 5: Analyze group-specific models 193 Summary 197 Review Questions 198 Critical Thinking Questions 199 Key Terms 199 Suggested Readings 200 Glossary 201 References 211 Index 231 |
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| index_date | 2024-07-03T23:20:21Z |
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| institution | BVB |
| isbn | 9781071862506 |
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| spelling | Hair, Joseph F. 1944- Verfasser (DE-588)135615828 aut Advanced issues in partial least squares structural equation modeling Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan Second edition Thousand Oaks Sage [2024] © 2024 xviii, 236 Seiten Illustrationen, Diagramme 229 mm txt rdacontent n rdamedia nc rdacarrier The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of the Primer by the same author team. This brief text features the newly-released SmartPLS 4 software Methode der partiellen kleinsten Quadrate (DE-588)4591652-4 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 s Methode der partiellen kleinsten Quadrate (DE-588)4591652-4 s DE-604 Sarstedt, Marko 1979- Sonstige (DE-588)136486576 oth Ringle, Christian M. 1974- Sonstige (DE-588)122291557 oth Gudergan, Siegfried Sonstige (DE-588)1013329066 oth Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034840366&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hair, Joseph F. 1944- Advanced issues in partial least squares structural equation modeling Methode der partiellen kleinsten Quadrate (DE-588)4591652-4 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| subject_GND | (DE-588)4591652-4 (DE-588)4252999-2 |
| title | Advanced issues in partial least squares structural equation modeling |
| title_auth | Advanced issues in partial least squares structural equation modeling |
| title_exact_search | Advanced issues in partial least squares structural equation modeling |
| title_exact_search_txtP | Advanced issues in partial least squares structural equation modeling |
| title_full | Advanced issues in partial least squares structural equation modeling Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan |
| title_fullStr | Advanced issues in partial least squares structural equation modeling Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan |
| title_full_unstemmed | Advanced issues in partial least squares structural equation modeling Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan |
| title_short | Advanced issues in partial least squares structural equation modeling |
| title_sort | advanced issues in partial least squares structural equation modeling |
| topic | Methode der partiellen kleinsten Quadrate (DE-588)4591652-4 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| topic_facet | Methode der partiellen kleinsten Quadrate Strukturgleichungsmodell |
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