Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
Autor Niels J. Blunchen Limba Engleză Paperback – 28 oct 2015
Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS' excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research.
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.
- A wide variety of examples from multiple disciplines and real world contexts.
- Exercises for each chapter on an accompanying .
- A detailed glossary.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 515.11 lei 6-8 săpt. | |
SAGE Publications – 28 oct 2015 | 515.11 lei 6-8 săpt. | |
Hardback (1) | 1006.94 lei 6-8 săpt. | |
SAGE Publications – 28 oct 2015 | 1006.94 lei 6-8 săpt. |
Preț: 515.11 lei
Nou
Puncte Express: 773
Preț estimativ în valută:
98.58€ • 102.40$ • 81.89£
98.58€ • 102.40$ • 81.89£
Carte tipărită la comandă
Livrare economică 04-18 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781473916227
ISBN-10: 1473916224
Pagini: 360
Dimensiuni: 170 x 242 x 19 mm
Greutate: 0.57 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 1473916224
Pagini: 360
Dimensiuni: 170 x 242 x 19 mm
Greutate: 0.57 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
This textbook combines accessible explanations of key concepts and methods used in SEM with detailed demonstrations of how to use EQS. It covers both basic as well as advanced topics, all illustrated with examples relevant to social science subjects. An excellent choice for anybody new to SEM and who would like to learn how to use EQS.
Cuprins
Preface
PART 1: PREPARING YOURSELF AND YOUR DATA
Chapter 1: Introduction
Chapter 2: Measuring Your Variables: Reliability and Validity
Chapter 3: Factor Analysis
PART 2: THE THREE BASIC MODELS
Chapter 4: Structural Equation Modeling with EQS
Chapter 5: Data-entering and programming in EQS
Chapter 6: Models with Only Manifest Variables
Chapter 7: The Measurement Model in SEM: Confirmatory Factor Analysis
Chapter 8: The General Model
PART 3: ADVANCED MODELS AND TECHNIQUES
Chapter 9: Mean Structures and Multi-group Analysis
Chapter 10: Incomplete and Non-normal Data
Chapter 11: Latent Curve Models
Appendix A: Statistical Prerequisites
Appendix B: Glossary
Appendix C: EQS Statements
PART 1: PREPARING YOURSELF AND YOUR DATA
Chapter 1: Introduction
Chapter 2: Measuring Your Variables: Reliability and Validity
Chapter 3: Factor Analysis
PART 2: THE THREE BASIC MODELS
Chapter 4: Structural Equation Modeling with EQS
Chapter 5: Data-entering and programming in EQS
Chapter 6: Models with Only Manifest Variables
Chapter 7: The Measurement Model in SEM: Confirmatory Factor Analysis
Chapter 8: The General Model
PART 3: ADVANCED MODELS AND TECHNIQUES
Chapter 9: Mean Structures and Multi-group Analysis
Chapter 10: Incomplete and Non-normal Data
Chapter 11: Latent Curve Models
Appendix A: Statistical Prerequisites
Appendix B: Glossary
Appendix C: EQS Statements
Notă biografică
Descriere
Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.