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Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences)
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Structural Equation Modeling provides a unique lens on the problems social and behavioral scientists face.
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Детаљи о производу
| Publisher | SAGE Publications, Inc |
| Publication date | July 23, 2008 |
| Edition | 2nd |
| Language | English |
| Print length | 272 pages |
| ISBN-10 | 1412916240 |
| ISBN-13 | 978-1412916240 |
| Item Weight | 1.06 pounds (480 grams) |
| Dimensions | 6 x 0.75 x 9 inches (15.2 x 1.9 x 22.9 cm) |
| Part of series | Advanced Quantitative Techniques in the Social Sciences |
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Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences)
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Research Editorial Review
The second edition of 'Structural Equation Modeling: Foundations and Extensions' is a comprehensive guide to the application of advanced quantitative techniques in the social sciences. Written by experts in the field, this book provides a thorough introduction to the theory and practice of structural equation modeling (SEM). The authors cover the fundamental concepts and techniques of SEM, including model specification, estimation, and interpretation. They also discuss the various extensions and modifications of SEM, such as multi-group analysis, mediation and moderation analysis, and latent growth modeling. With its clear explanations and practical examples, this book is an essential resource for researchers and students in the social sciences who want to utilize SEM in their work.
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Прос
- Comprehensive guide to the theory and practice of structural equation modeling
- Written by experts in the field
- Clear explanations and practical examples provided
- Covers various extensions and modifications of SEM
Цонс
- May be too advanced for beginners
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Карактеристике и предности
- Thorough and sophisticated treatment of SEM foundations
- Detailed empirical examples are provided
- Guides readers through critical assumptions of SEM
- Assumes some knowledge in statistics
- Presents SEM as a valuable tool for social and behavioral scientists
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