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Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming

Barbara M. Byrne
Format
Book
Published
Mahwah, N.J. : Lawrence Erlbaum Associates, 2001.
Language
English
Series
Multivariate Applications Book Series
ISBN
0805833226
Contents
  • 1 Structural Equation Models: The Basics 3
  • General SEM Model 8
  • 2 AMOS Program 15
  • AMOS Graphics and AMOS Basic: A Comparison 33
  • II Single-Group Analyses
  • 3 Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model) 57
  • Hypothesized Model 58
  • Hypothesis 1: Self-Concept Is a Four-Factor Structure 58
  • Modeling With AMOS Graphics 63
  • Modeling With AMOS Basic 68
  • Modeling With AMOS: Graphics and Basic 70
  • Post Hoc Analyses 91
  • Hypothesis 2: Self-Concept Is a Two-factor Structure 93
  • Hypothesis 3: Self-Concept Is a One-factor Structure 97
  • 4 Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model) 98
  • Hypothesized Model 100
  • Modeling With AMOS Graphics 100
  • Post Hoc Analyses 107
  • Modeling With AMOS Basic 118
  • 5 Application 3: Testing for the Factorial Validity of Scores From a Measuring Instrument (Second-Order CFA Model) 120
  • Hypothesized Model 121
  • Modeling With AMOS Graphics 121
  • Post Hoc Analyses 135
  • Modeling With AMOS Basic 138
  • 6 Application 4: Testing for the Validity of a Causal Structure 142
  • Hypothesized Model 142
  • Modeling With AMOS Graphics 144
  • Post Hoc Analyses 154
  • Modeling With AMOS Basic 169
  • III Multiple-Group Analyses
  • 7 Application 5: Testing for Invariant Factorial Structure of a Measuring Instrument (First-Order CFA Model) 173
  • Testing for Multigroup Invariance 174
  • Testing for Invariance Across Teaching Panels 176
  • Modeling With AMOS Graphics 177
  • Modeling With AMOS Basic 197
  • 8 Application 6: Testing for Invariant Factorial Structure of a Theoretical Construct (First-Order CFA Model) 200
  • Testing for Invariance Across Gender 200
  • Modeling With AMOS Graphics 202
  • Modeling With AMOS Basic 223
  • 9 Application 7: Testing for Invariant Latent Mean Structures 226
  • Basic Concepts Underlying Tests of Latent Mean Structures 227
  • Modeling With AMOS Graphics 229
  • Testing for Latent Mean Differences 231
  • Modeling With AMOS Basic 243
  • 10 Application 8: Testing for Invariant Pattern of Causal Structure 247
  • Cross-Validation in Covariance Structure Modeling 247
  • Testing for Invariance Across Calibration/Validation Samples 249
  • Modeling With AMOS Graphics 250
  • Modeling With AMOS Basic 262
  • IV Other Important Topics
  • 11 Application 9: Bootstrapping as an Aid to Nonnormal Data 267
  • Basic Principles Underlying the Bootstrap Procedure 269
  • Modeling With AMOS Graphics 271
  • Modeling With AMOS Basic 285
  • 12 Application 10: Dealing With Incomplete Data 287
  • Basic Patterns of Incomplete Data 288
  • Common Approaches to Handling Incomplete Data 289
  • AMOS Approach to Handling Incomplete Data 292
  • Modeling With AMOS Graphics 293
  • Modeling With AMOS Basic 297.
Description
xiv, 338 p. : ill. ; 24 cm.
Notes
Includes bibliographical references (p. 305-313) and index.
Technical Details
  • Access in Virgo Classic
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    g| 1 t| Structural Equation Models: The Basics g| 3 -- t| General SEM Model g| 8 -- g| 2 t| AMOS Program g| 15 -- t| AMOS Graphics and AMOS Basic: A Comparison g| 33 -- g| II t| Single-Group Analyses -- g| 3 t| Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model) g| 57 -- t| Hypothesized Model g| 58 -- t| Hypothesis 1: Self-Concept Is a Four-Factor Structure g| 58 -- t| Modeling With AMOS Graphics g| 63 -- t| Modeling With AMOS Basic g| 68 -- t| Modeling With AMOS: Graphics and Basic g| 70 -- t| Post Hoc Analyses g| 91 -- t| Hypothesis 2: Self-Concept Is a Two-factor Structure g| 93 -- t| Hypothesis 3: Self-Concept Is a One-factor Structure g| 97 -- g| 4 t| Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model) g| 98 -- t| Hypothesized Model g| 100 -- t| Modeling With AMOS Graphics g| 100 -- t| Post Hoc Analyses g| 107 -- t| Modeling With AMOS Basic g| 118 -- g| 5 t| Application 3: Testing for the Factorial Validity of Scores From a Measuring Instrument (Second-Order CFA Model) g| 120 -- t| Hypothesized Model g| 121 -- t| Modeling With AMOS Graphics g| 121 -- t| Post Hoc Analyses g| 135 -- t| Modeling With AMOS Basic g| 138 -- g| 6 t| Application 4: Testing for the Validity of a Causal Structure g| 142 -- t| Hypothesized Model g| 142 -- t| Modeling With AMOS Graphics g| 144 -- t| Post Hoc Analyses g| 154 -- t| Modeling With AMOS Basic g| 169 -- g| III t| Multiple-Group Analyses -- g| 7 t| Application 5: Testing for Invariant Factorial Structure of a Measuring Instrument (First-Order CFA Model) g| 173 -- t| Testing for Multigroup Invariance g| 174 -- t| Testing for Invariance Across Teaching Panels g| 176 -- t| Modeling With AMOS Graphics g| 177 -- t| Modeling With AMOS Basic g| 197 -- g| 8 t| Application 6: Testing for Invariant Factorial Structure of a Theoretical Construct (First-Order CFA Model) g| 200 -- t| Testing for Invariance Across Gender g| 200 -- t| Modeling With AMOS Graphics g| 202 -- t| Modeling With AMOS Basic g| 223 -- g| 9 t| Application 7: Testing for Invariant Latent Mean Structures g| 226 -- t| Basic Concepts Underlying Tests of Latent Mean Structures g| 227 -- t| Modeling With AMOS Graphics g| 229 -- t| Testing for Latent Mean Differences g| 231 -- t| Modeling With AMOS Basic g| 243 -- g| 10 t| Application 8: Testing for Invariant Pattern of Causal Structure g| 247 -- t| Cross-Validation in Covariance Structure Modeling g| 247 -- t| Testing for Invariance Across Calibration/Validation Samples g| 249 -- t| Modeling With AMOS Graphics g| 250 -- t| Modeling With AMOS Basic g| 262 -- g| IV t| Other Important Topics -- g| 11 t| Application 9: Bootstrapping as an Aid to Nonnormal Data g| 267 -- t| Basic Principles Underlying the Bootstrap Procedure g| 269 -- t| Modeling With AMOS Graphics g| 271 -- t| Modeling With AMOS Basic g| 285 -- g| 12 t| Application 10: Dealing With Incomplete Data g| 287 -- t| Basic Patterns of Incomplete Data g| 288 -- t| Common Approaches to Handling Incomplete Data g| 289 -- t| AMOS Approach to Handling Incomplete Data g| 292 -- t| Modeling With AMOS Graphics g| 293 -- t| Modeling With AMOS Basic g| 297.
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