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Structural Equation Modeling: Foundations and Extensions by David W Kaplan: New
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Specificaties
- Objectstaat
- Book Title
- Structural Equation Modeling: Foundations and Extensions
- Publication Date
- 2008-07-23
- Edition Number
- 2
- Pages
- 272
- ISBN
- 9781412916240
Over dit product
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1412916240
ISBN-13
9781412916240
eBay Product ID (ePID)
65569385
Product Key Features
Number of Pages
272 Pages
Publication Name
Structural Equation Modeling : Foundations and Extensions
Language
English
Publication Year
2008
Subject
Methodology, Research, Statistics
Type
Textbook
Subject Area
Social Science
Series
Advanced Quantitative Techniques in the Social Sciences Ser.
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
17 Oz
Item Length
9.3 in
Item Width
6.2 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2008-017670
Dewey Edition
22
Series Volume Number
10
Illustrated
Yes
Dewey Decimal
300.1/5118
Table Of Content
Preface to the Second Edition1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables3. Factor Analysis4. Structural Equation Models in Single and Multiple Groups5. Statistical Assumptions Underlying Structural Equation Modeling6. Evaluating and Modifying Structural Equation Models7. Multilevel Structural Equation Modeling8. Latent Growth Curve Modeling9. Structural Models for Categorical and Continuous Latent Variables10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling
Synopsis
Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner., Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chapters
LC Classification Number
H61.25
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