Multiple regression and beyond
This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part.
Read More ↓Title Statements
- Full title :Multiple regression and beyond / Timothy Z. Keith.
Summary
This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part.
Read More ↓Edition Statements
- Publication Date:©2014
- Edition:Pearson new international first edition
Publication Statements
- Publisher(s):Pearson
- Place of Publication:Harlow, Essex
- Language:eng
- Publication Date:©2014
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781292053806, 1292053801
- oclc:ocn964650570
- LC Classification:HA31.3 .K458 2014
- Dewey Decimal:519.536
Table of Contents
Cover -- Table of Contents -- 1. Introduction and Simple (Bivariate) Regression -- 2. Multiple Regression: Introduction -- 3. Multiple Regression: More Detail -- 4. Three and More Independent Variables and Related Issues -- 5. Three Types of Multiple Regression -- 6. Analysis of Categorical Variables -- 7. Categorical and Continuous Variables -- 8. Continuous Variables: Interactions and Curves -- 9. Multiple Regression: Summary, Further Study, and Problems -- 10. Path Modeling: Structural Equation Modeling with Measured Variables -- 11. Path Analysis: Dangers and Assumptions
12. Analyzing Path Models Using SEM Programs -- 13. Error: The Scourge of Research -- 14. Conformatory Factor Analysis -- 15. Putting it All Together: Introduction to Latent Variable SEM -- 16. Latent Variable Models: More Advanced Topics -- Appendix: Sample Statistical Programs and Multiple Regression Output -- Appendix: Sample Output from SEM Programs -- Appendix: Partial and Semipartial Correlation -- Appendix: Review of Basic Statistics Concepts -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W
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