Structural equation modeling with EQS: basic concepts, applications, and programming
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Mahwah, NJ [u.a.]
Erlbaum
2006
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | Multivariate applications series
|
| Schlagworte: | |
| Online-Zugang: | Table of contents only Publisher description Inhaltsverzeichnis |
| Beschreibung: | XII, 440 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 0805841253 0805841261 |
Internformat
MARC
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| 245 | 1 | 0 | |a Structural equation modeling with EQS |b basic concepts, applications, and programming |c Barbara M. Byrne |
| 250 | |a 2. ed. | ||
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| 650 | 4 | |a Social sciences |x Statistical methods |x Data processing | |
| 650 | 4 | |a Structural equation modeling |x Data processing | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Preface and Acknowledgments ix
I: INTRODUCTION
1 Structural Equation Models: The Basics 3
Basic Concepts 4
The General Structural Equation Model 9
The General EQS Structural Equation Model 14
2 Using the EQS Program 18
Components of the EQS Input File 19
The Concept of Model Identification 30
Creating the EQS Input File 37
Building an Input File Manually 36
Building an Input File Interactively Using BUILD EQS 38
Building an Input File Graphically Using the DIAGRAMMER 48
The EQS Output File in General 71
EQS Error Messages 73
Overview of Remaining Chapters 74
II: SINGLE GROUP ANALYSES
3 Application 1: Testing for the Factorial Validity
of a Theoretical Construct (First Order CFA Model) 77
The Hypothesized Model 78
The EQS Input File 82
The EQS Output File 86
Model Specification and Analysis Summary 87
Model Assessment 89
Model Misspecification 108
Post Hoc Analyses 112
v
vi CONTENTS
4 Application 2: Testing for the Factorial Validity of Scores
From a Measuring Instrument (First Order CFA Model) 118
The Hypothesized Model 119
The EQS Input File 127
The EQS Output File 129
Post Hoc Analyses 137
5 Application 3: Testing for the Factorial Validity of Scores
From a Measuring Instrument (Second Order CFA Model) 158
The Hypothesized Model 159
Analysis of Categorical Data 163
Categorical Variables Analyzed as Continuous Variables 163
Categorical Variables Analyzed as Categorical Variables 764
Analyses Based on Data Regarded as Categorical 767
The EQS Input File 767
The EQS Output File 7 70
Post Hoc Analyses 176
Analyses Based on Data Regarded as Continuous 779
The EQS Output File 7 79
6 Application 4: Testing for the Validity of a Causal Structure 186
The Hypothesized Model 786
Formulation of Indicator Variables 188
Confirmatory Factor Analyses 759
The EQS Input File 797
The EQS Output File 799
Post Hoc Analyses 205
III: MULTIPLE GROUP ANALYSES
7 Application 5: Testing for the Factorial Invariance
of a Measuring Instrument 225
Testing for Multigroup Invariance 226
Testing for Invariance Across Independent Samples 228
The Hypothesized Model 228
The EQS Input File 234
The EQS Output File 237
Other Considerations in Testing for Multiple Group Invariance 245
8 Application 6: Testing for the Invariance of a Causal Structure 250
Cross Validation in SEM 250
Testing for Invariance Across Calibration/Validation Samples 252
The Hypothesized Model 253
CONTENTS yii
The EQS Input File 253
The EQS Output File 259
9 Application 7: Testing for Latent Mean Differences
(First Order CFA Model) 261
Basic Concepts Underlying Tests of Latent Mean Structures 262
Modeling Mean Structures in EQS 263
Testing for Latent Mean Differences of a First Order CFA Model 267
The Strategy 267
The Hypothesized Model 267
The EQS Input File 274
The EQS Output File 277
10 Application 8: Testing for Latent Mean Differences
(Second Order CFA Model) 293
Testing for Latent Mean Differences of a Second Order Model 294
The Strategy 294
The Hypothesized Model 294
IV: OTHER IMPORTANT TOPICS
11 Application 9: Testing for Construct Validity:
The Multitrait Multimethod Model 325
The General CFA Approach to MTMM Analyses 330
The Hypothesized Model 330
The EQS Input File 332
The EQS Output File 332
The Correlated Uniqueness Approach to MTMM Analyses 344
The Hypothesized Model 346
The EQS Input File 348
The EQS Output File 348
12 Application 10: Testing for Change Over Time: The Latent
Growth Curve Model 352
Measuring Change in Individual Growth Over Time:
The General Notion 354
The Hypothesized Model 354
Modeling Intraindividual Change 354
Modeling Inter individual Differences in Change 358
Testing for Inter individual Differences in Change 359
The EQS Input File 362
The EQS Output File 362
Gender as a Time Invariant Predictor of Change 370
viii CONTENTS
The EQS Input File 373
The EQS Output File 373
13 Application 11: Testing for Within and Between Level
Variance: The Multilevel Model 376
Overview of Multilevel Modeling 377
Single Level Analyses of Hierarchically Structured Data:
Related Problems 377
Multiple Level Analyses of Hierarchically Structured Data:
Multilevel Modeling 378
The Hypothesized Model 379
The EQS Input File 391
The EQS Output File 396
References 411
Author Index 425
Subject Index 429
|
| adam_txt |
Contents
Preface and Acknowledgments ix
I: INTRODUCTION
1 Structural Equation Models: The Basics 3
Basic Concepts 4
The General Structural Equation Model 9
The General EQS Structural Equation Model 14
2 Using the EQS Program 18
Components of the EQS Input File 19
The Concept of Model Identification 30
Creating the EQS Input File 37
Building an Input File Manually 36
Building an Input File Interactively Using BUILD EQS 38
Building an Input File Graphically Using the DIAGRAMMER 48
The EQS Output File in General 71
EQS Error Messages 73
Overview of Remaining Chapters 74
II: SINGLE GROUP ANALYSES
3 Application 1: Testing for the Factorial Validity
of a Theoretical Construct (First Order CFA Model) 77
The Hypothesized Model 78
The EQS Input File 82
The EQS Output File 86
Model Specification and Analysis Summary 87
Model Assessment 89
Model Misspecification 108
Post Hoc Analyses 112
v
vi CONTENTS
4 Application 2: Testing for the Factorial Validity of Scores
From a Measuring Instrument (First Order CFA Model) 118
The Hypothesized Model 119
The EQS Input File 127
The EQS Output File 129
Post Hoc Analyses 137
5 Application 3: Testing for the Factorial Validity of Scores
From a Measuring Instrument (Second Order CFA Model) 158
The Hypothesized Model 159
Analysis of Categorical Data 163
Categorical Variables Analyzed as Continuous Variables 163
Categorical Variables Analyzed as Categorical Variables 764
Analyses Based on Data Regarded as Categorical 767
The EQS Input File 767
The EQS Output File 7 70
Post Hoc Analyses 176
Analyses Based on Data Regarded as Continuous 779
The EQS Output File 7 79
6 Application 4: Testing for the Validity of a Causal Structure 186
The Hypothesized Model 786
Formulation of Indicator Variables 188
Confirmatory Factor Analyses 759
The EQS Input File 797
The EQS Output File 799
Post Hoc Analyses 205
III: MULTIPLE GROUP ANALYSES
7 Application 5: Testing for the Factorial Invariance
of a Measuring Instrument 225
Testing for Multigroup Invariance 226
Testing for Invariance Across Independent Samples 228
The Hypothesized Model 228
The EQS Input File 234
The EQS Output File 237
Other Considerations in Testing for Multiple Group Invariance 245
8 Application 6: Testing for the Invariance of a Causal Structure 250
Cross Validation in SEM 250
Testing for Invariance Across Calibration/Validation Samples 252
The Hypothesized Model 253
CONTENTS yii
The EQS Input File 253
The EQS Output File 259
9 Application 7: Testing for Latent Mean Differences
(First Order CFA Model) 261
Basic Concepts Underlying Tests of Latent Mean Structures 262
Modeling Mean Structures in EQS 263
Testing for Latent Mean Differences of a First Order CFA Model 267
The Strategy 267
The Hypothesized Model 267
The EQS Input File 274
The EQS Output File 277
10 Application 8: Testing for Latent Mean Differences
(Second Order CFA Model) 293
Testing for Latent Mean Differences of a Second Order Model 294
The Strategy 294
The Hypothesized Model 294
IV: OTHER IMPORTANT TOPICS
11 Application 9: Testing for Construct Validity:
The Multitrait Multimethod Model 325
The General CFA Approach to MTMM Analyses 330
The Hypothesized Model 330
The EQS Input File 332
The EQS Output File 332
The Correlated Uniqueness Approach to MTMM Analyses 344
The Hypothesized Model 346
The EQS Input File 348
The EQS Output File 348
12 Application 10: Testing for Change Over Time: The Latent
Growth Curve Model 352
Measuring Change in Individual Growth Over Time:
The General Notion 354
The Hypothesized Model 354
Modeling Intraindividual Change 354
Modeling Inter individual Differences in Change 358
Testing for Inter individual Differences in Change 359
The EQS Input File 362
The EQS Output File 362
Gender as a Time Invariant Predictor of Change 370
viii CONTENTS
The EQS Input File 373
The EQS Output File 373
13 Application 11: Testing for Within and Between Level
Variance: The Multilevel Model 376
Overview of Multilevel Modeling 377
Single Level Analyses of Hierarchically Structured Data:
Related Problems 377
Multiple Level Analyses of Hierarchically Structured Data:
Multilevel Modeling 378
The Hypothesized Model 379
The EQS Input File 391
The EQS Output File 396
References 411
Author Index 425
Subject Index 429 |
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| spelling | Byrne, Barbara M. 1935- Verfasser (DE-588)111905303 aut Structural equation modeling with EQS basic concepts, applications, and programming Barbara M. Byrne 2. ed. Mahwah, NJ [u.a.] Erlbaum 2006 XII, 440 S. Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Multivariate applications series EQS (Computer file) Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing Structural equation modeling Data processing Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf CD-ROMs Empirische Sozialforschung (DE-588)4014606-6 s DE-604 http://www.loc.gov/catdir/toc/ecip062/2005031008.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0644/2005031008-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015437526&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Byrne, Barbara M. 1935- Structural equation modeling with EQS basic concepts, applications, and programming EQS (Computer file) Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing Structural equation modeling Data processing Empirische Sozialforschung (DE-588)4014606-6 gnd |
| subject_GND | (DE-588)4014606-6 |
| title | Structural equation modeling with EQS basic concepts, applications, and programming |
| title_auth | Structural equation modeling with EQS basic concepts, applications, and programming |
| title_exact_search | Structural equation modeling with EQS basic concepts, applications, and programming |
| title_exact_search_txtP | Structural equation modeling with EQS basic concepts, applications, and programming |
| title_full | Structural equation modeling with EQS basic concepts, applications, and programming Barbara M. Byrne |
| title_fullStr | Structural equation modeling with EQS basic concepts, applications, and programming Barbara M. Byrne |
| title_full_unstemmed | Structural equation modeling with EQS basic concepts, applications, and programming Barbara M. Byrne |
| title_short | Structural equation modeling with EQS |
| title_sort | structural equation modeling with eqs basic concepts applications and programming |
| title_sub | basic concepts, applications, and programming |
| topic | EQS (Computer file) Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing Structural equation modeling Data processing Empirische Sozialforschung (DE-588)4014606-6 gnd |
| topic_facet | EQS (Computer file) Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing Structural equation modeling Data processing Empirische Sozialforschung CD-ROMs |
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