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Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming [Pehme köide]

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(University of Ottawa, Canada)
  • Formaat: Paperback / softback, 352 pages, kõrgus x laius: 229x152 mm, kaal: 556 g
  • Sari: Multivariate Applications Series
  • Ilmumisaeg: 01-Apr-2001
  • Kirjastus: Lawrence Erlbaum Associates Inc
  • ISBN-10: 0805841040
  • ISBN-13: 9780805841046
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Structural Equation Modeling With AMOS: Basic Concepts, Applications, and ProgrammingSuurem pilt
  • Formaat: Paperback / softback, 352 pages, kõrgus x laius: 229x152 mm, kaal: 556 g
  • Sari: Multivariate Applications Series
  • Ilmumisaeg: 01-Apr-2001
  • Kirjastus: Lawrence Erlbaum Associates Inc
  • ISBN-10: 0805841040
  • ISBN-13: 9780805841046
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780805841046.html
Märksõnad:

This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses.

Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by:

  • a statement of the hypothesis being tested;
  • a schematic representation of the model under study;
  • the use and function of a wide variety of icons and pull-down menus;
  • a full explanation of related AMOS Graphic input models and output files;
  • a model input file based on AMOS BASIC; and
  • the published reference from which each application was drawn.

Arvustused

"I believe that Byrne's book is a valuable companion to those who aspire to analyse their data with SEM. It is written in a clear style, richly illustrated, and discusses most of the problems readers will encounter in their own research....also suitable for use as a textbook on structural equation modelling." - European Journal of Work and Organizational Psychology



"...considerable effort is devoted to introducing statistical principles, concepts, and measures in nonmathematical terms....its excellent treatment of the practical aspects of modeling and because it provides useful and accessible material about some of the statistical aspects of SEM." - Contemporary Psychology

Preface ix
Acknowledgments xiii
I: INTRODUCTION
Structural Equation Models: The Basics
3(12)
Basic Concepts
4(4)
The General SEM Model
8(7)
The AMOS Program
15(42)
Working With AMOS Graphics: Example 1
16(15)
Working With AMOS Basic: Example 1
31(2)
AMOS Graphics and AMOS Basic: A Comparison
33(1)
The Concept of Model Identification
34(2)
Working With AMOS Graphics: Example 2
36(6)
Working With AMOS Basic: Example 2
42(2)
Working With AMOS Graphics: Example 3
44(8)
Working With AMOS Basic: Example 3
52(5)
II: SINGLE-GROUP ANALYSES
Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model)
57(41)
The Hypothesized Model
58(1)
Hypothesis 1: Self-Concept Is a Four-Factor Structure
58(5)
Modeling with AMOS Graphics
63(5)
Modeling With AMOS Basic
68(2)
Modeling With AMOS: Graphics and Basic
70(21)
Post Hoc Analyses
91(2)
Hypothesis 2: Self-Concept Is a Two-factor Structure
93(4)
Hypothesis 3: Self-Concept Is a One-factor Structure
97(1)
Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model)
98(22)
The Hypothesized Model
100(1)
Modeling With AMOS Graphics
100(7)
Post Hoc Analyses
107(11)
Modeling With AMOS Basic
118(2)
Application 3: Testing for the Factorial Validity of Scores From a Measuring Instrument (Second-Order CFA Model)
120(22)
The Hypothesized Model
121(1)
Modeling With AMOS Graphics
121(14)
Post Hoc Analyses
135(3)
Modeling With AMOS Basic
138(4)
Application 4: Testing for the Validity of a Causal Structure
142(31)
The Hypothesized Model
142(2)
Modeling With AMOS Graphics
144(10)
Post Hoc Analyses
154(15)
Modeling With AMOS Basic
169(4)
III: MULTIPLE-GROUP ANALYSES
Application 5: Testing for Invariant Factorial Structure of a Measuring Instrument (First-Order CFA Model)
173(27)
Testing for Multigroup Invariance
174(2)
Testing for Invariance Across Teaching Panels
176(1)
Modeling With AMOS Graphics
177(20)
Modeling With AMOS Basic
197(3)
Application 6: Testing for Invariant Factorial,. Structure of a Theoretical Construct (First-Order CFA Model)
200(26)
Testing for Invariance Across Gender
200(2)
Modeling With AMOS Graphics
202(21)
Modeling With AMOS Basic
223(3)
Application 7: Testing for Invariant Latent Mean Structures
226(21)
Basic Concepts Underlying Tests of Latent Mean Structures
227(2)
Modeling With AMOS Graphics
229(2)
Testing for Latent Mean Differences
231(12)
Modeling With AMOS Basic
243(4)
Application 8: Testing for Invariant Pattern of Causal Structure
247(20)
Cross-Validation in Covariance Structure Modeling
247(2)
Testing for Invariance-Across Calibration/Validation Samples
249(1)
Modeling With AMOS Graphics
250(12)
Modeling With AMOS Basic
262(5)
IV: OTHER IMPORTANT TOPICS
Application 9: Bootstrapping as an Aid to Nonnormal Data
267(20)
Basic Principles Underlying the Bootstrap Procedure
269(2)
Modeling With AMOS Graphics
271(14)
Modeling With AMOS Basic
285(2)
Application 10: Dealing With Incomplete Data
287(18)
Basic Patterns of Incomplete Data
288(1)
Common Approaches to Handling Incomplete Data
289(3)
The AMOS Approach to Handling Incomplete Data
292(1)
Modeling with AMOS Graphics
293(4)
Modeling With AMOS Basic
297(8)
References 305(9)
Appendix A 314(1)
Appendix B 315(1)
Appendix C 316(1)
Appendix D 317(2)
Appendix F 319(3)
Appendix F 322(1)
Appendix G 323(1)
Appendix H 324(3)
Appendix I 327(1)
Appendix J 328(1)
Author Index 329(4)
Subject Index 333