Structural equation models: from paths to networks
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham [u.a.]
Springer
2015
|
| Schriftenreihe: | Studies in systems, decision and control
22 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Hier auch später erschienene, unveränderte Nachdrucke |
| Beschreibung: | IX, 175 S. graph. Darst. |
| ISBN: | 9783319165066 3319165062 9783319386317 |
Internformat
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Datensatz im Suchindex
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| adam_text | Contents
1 An Introduction to Structural Equation Models............................. I
1.1 The Problem Domains of Structurai Equation Models................... 3
1.2 Motivation and Structure of This Book............................... 4
References.......................................................... 7
2 A Brief History of Structural Equation Models....................... 9
2.1 Path Analysis in Genetics................................... 9
2.2 Sewali Wright s Path Analysis.................................... 10
2.3 Networks and Cycles ............................................. 13
2.4 What Is a Path Coefficient?................................... 14
2.5 Applications and Evolution...................................... 15
2.6 The Chicago School............................................. 16
2.7 The Scandinavian School.......................................... 18
2.8 Limited and Full Information Methods............................... 20
2.9 A Look Towards the Future.......................................... 20
References............................................................... 21
3 Partial Least Squares Path Analysis...................................... 23
3.1 PLS Path Analysis Software: Functions and Objectives............... 24
3.2 Path Regression.................................................. 24
3.3 Herman Wold s Contributions to Path Analysis....................... 26
3.4 Possible Choices for Path Coefficients: Covariance.
Correlation, and Regression Coefficients........................... 28
3.4.1 Covariance and Variance..................................... 28
3.4.2 Correlation........................................... 28
3.4.3 Regression Coefficients................................... 28
3.5 Lohmdller s PCA-OLS Path Analysis Method......................... 30
3.6 PLS Path Analysis vs. PLS Regression.......................... 32
3.7 Resampling....................................................... 34
3.8 Measures....................................................... 35
VÜ
viii Contents
3.9 “Limited Information”................................................. 35
ЗЛО Sample Size in PLS-PA................................................... 36
References.................................................................. 43
4 LISREL and Its Progeny....................................................... 47
4Л LISREL................................................................ 47
4.2 LISREL Performance Statistics......................................... 53
References................................................................ 58
5 Systems of Regression Equations.............................................. 61
5Л The Birth of Structural Equation Modeling............................. 61
5.2 Simultaneous Regression Equation Models............................... 62
5.3 Estimation............................................................ 64
5.4 A Comparative Example................................................. 67
5.5 A Model of Innovation, Structure, and Governance
with Latent Variables in Systems of Regression Equations.............. 75
References.................................................................. 81
6 Data Collection, Control, and Sample Size.................................... 83
6.1 The Role of Data...................................................... 83
6.2 The Ancient Roots of Model-Data Duality............................... 84
6.3 Data: Model Fit....................................................... 88
6.4 Latent Variables...................................................... 92
6.5 Linear Models......................................................... 94
6.6 Hypothesis Tests and Data........................................... 95
6.7 Data Adequacy in SEM.................................................. 95
6.8 Minimum Sample Size for Structural Equation
Model Estimation...................................................... 99
6.9 Minimum Effect Size d....................................... 102
6.10 Estimator for Correlation in a Bivariate Normal Distribution......... 104
6.11 Calculation of Sample Size on a Single Link................. 106
6.12 Can Resampling Recover Information Lost
Through Likert Mapping?..................................... 109
6.13 Data Screening....................................................... 110
6.14 Exploratory Specification Search..................................... Ill
References............................................................... 112
7 Survey and Questionnaire Data............................................. 117
7.1 Rensis Likert’s Contribution to Social Research..................... 118
7.2 Likert Scales.................................................... 119
7.3 Fisher Information in Likert Items............................... 125
7.4 Examples of Likert Scalings and Their Consequences................... 128
7.5 Design Trade-Offs in Likert Scaling................................ 133
7.6 Known Unknowns: What Is a Latent Variable?........................... 135
References................................................................. 136
Contents ix
8 Research Structure and Paradigms..................................... 139
8.1 The Quest for Truth.............................................. 140
8.2 Research Questions............................................... 141
8.3 Models........................................................... 141
8.4 Theory Building and Hypotheses................................... 142
8.5 Hypothesis Testing............................................... 145
8.6 Model Specification and Confirmation............................. 146
8.7 How Many Alternative Models Should You Test?..................... 147
8.8 Distributional Assumptions....................................... 149
8.9 Statistical Distributions: Are They Part of the Model
or Are They Part of the Data?.................................. 150
8.10 Causality.................................................... 151
8.11 The Risks of Received Wisdom: A Case Study..................... 152
8.12 Physics Envy and the Pretentious Model........................... 153
8.13 Design of Empirical Studies.................................... 154
8.14 Significance Testing........................................... 156
8.15 Model Identification............................................. 156
8.16 Negative Error Variance Estimates................................ 157
8.17 Hey wood Cases................................................. 157
8.18 Empirical Confirmation of Theory............................... 158
References..................................................... 159
9 From Paths to Networks: The Evolving Science of Networks.............. 161
9.1 Genetic Pathways Revisited..................................... 162
9.2 The Evolution of SEM Research Questions........................ 164
9.3 The New Language of Social Networks............................. 166
9.3.1 Visualization............................................ 166
9.3.2 Link Qualifiers and Metrics............................ 167
9.3.3 Topological Statistics............................... 167
9.3.4 Network Archetypes....................................... 168
9.4 Cross-Pollination: Biological Networks
and Banking Ecosystems......................................... 169
9.5 The Future...................................................... 170
References....................................................... 171
Index
173
|
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| language | English |
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| series | Studies in systems, decision and control |
| series2 | Studies in systems, decision and control |
| spelling | Westland, James Christopher Verfasser (DE-588)136545823 aut Structural equation models from paths to networks J. Christopher Westland Cham [u.a.] Springer 2015 IX, 175 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in systems, decision and control 22 Hier auch später erschienene, unveränderte Nachdrucke Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Strukturgleichungsmodell (DE-588)4252999-2 s DE-604 Erscheint auch als Online-Ausgabe Westland, Christopher J. Structural equation models Studies in systems, decision and control 22 (DE-604)BV041646147 22 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028131548&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Westland, James Christopher Structural equation models from paths to networks Studies in systems, decision and control Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| subject_GND | (DE-588)4252999-2 (DE-588)4113937-9 |
| title | Structural equation models from paths to networks |
| title_auth | Structural equation models from paths to networks |
| title_exact_search | Structural equation models from paths to networks |
| title_full | Structural equation models from paths to networks J. Christopher Westland |
| title_fullStr | Structural equation models from paths to networks J. Christopher Westland |
| title_full_unstemmed | Structural equation models from paths to networks J. Christopher Westland |
| title_short | Structural equation models |
| title_sort | structural equation models from paths to networks |
| title_sub | from paths to networks |
| topic | Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| topic_facet | Strukturgleichungsmodell Hochschulschrift |
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