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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos 2nd Revised edition [Kõva köide]

  • Formaat: Hardback, 312 pages, kõrgus x laius: 242x170 mm, kaal: 660 g
  • Ilmumisaeg: 09-Nov-2012
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1446248992
  • ISBN-13: 9781446248997
Teised raamatud teemal:
  • Formaat: Hardback, 312 pages, kõrgus x laius: 242x170 mm, kaal: 660 g
  • Ilmumisaeg: 09-Nov-2012
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1446248992
  • ISBN-13: 9781446248997
Teised raamatud teemal:
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.

Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark

Arvustused

This is a cutting-edge update of a comprehensive and highly successful textbook. I would recommend it without hesitation to anyone who wants to get to grips with structural equasion modeling in AMOS. K. V. Petrides London Psychometric Laboratory, University College London





The most accessible book on structural equation modeling just became even more accessible. Using realistic datasets and generous insight, this text effectively covers both theoretical understanding and, importantly, successful application of SEM. Blunch is the must-have resource for researchers, advanced undergraduates and graduate students. Julie Davies School of Psychology, Bangor University

About the author vi
Preface to the first edition vii
Preface to the second edition viii
Part 1 Preparing Yourself and Your Data
1(74)
1 Introduction
3(28)
2 Measuring Your Variables: Reliability and Validity
31(20)
3 Factor Analysis
51(24)
Part 2 The Three Basic Models
75(116)
4 Structural Equation Modeling with AMOS
77(32)
5 Models with Only Manifest Variables
109(21)
6 The Measurement Model in SEM: Confirmatory Factor Analysis
130(33)
7 The General Model
163(28)
Part 3 Advanced Models and Techniques
191(76)
8 Mean Structures and Multi-group Analysis
193(27)
9 Incomplete and Non-normal Data
220(26)
10 Latent Curve Models
246(21)
Appendices
267(30)
Appendix A Statistical Prerequisites
269(17)
Appendix B Glossary
286(10)
Appendix C AMOS Statements
296(1)
Author Index 297(2)
Subject Index 299
Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark.