Introduction to structural equation modeling using IBM SPSS statistics and AMOS Niels J. Blunch
Tipo de material:
Libro
impreso(a)
Idioma: Inglés Detalles de publicación: Los Angeles, California SAGE Publications c2013Edición: Second editionDescripción: 303 páginas ilustraciones 25 centímetrosISBN: - 144624900X
- 9781446249000
- Structural equation modeling using IBM SPSS statistics and AMOS [Título paralelo]
- 519.53 B5
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Código de barras | |
|---|---|---|---|---|---|---|
| Libros | Biblioteca San Cristóbal Acervo General (AG) | Acervo General | 519.53 B5 | Disponible | ECO010017609 |
Incluye bibliografía e índice: páginas 297-303
Glosario: páginas 286-295
About the Author.. Preface to the First Edition.. Preface to the Second Edition.. Part 1 Preparing Yourself and Your Data 1 Introduction.. 2 Measuring Your Variables: Reliability and Validity.. 3 Factor Analysis.. Part 2 The Three Basic Models.. 4 Structural Equation Modeling with AMOS.. 5 Models with Only Manifest Variables.. 6 The Measurement Model in SEM: Confirmatory Factor Analysis.. 7 The General Model.. Part 3 Advanced Models and Techniques.. 8 Mean Structures and Multigroup Analysis.. 9 Incomplete and Nonnormal Data.. 10 Latent Curve Models.. Appendices.. Appendix A Statistical Prerequisites.. Appendix B Glossary Appendix C AMOS Statements.. Author Index.. Subject Index
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Inglés