- 180 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples.
Key Features:
- Full output examples complete with interpretation
- Full syntax examples to help teach R code
- Appendix explaining basic R functions
- Methods for multilevel data that are often included in basic regression texts
- End of Chapter Comprehension Exercises
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Table of contents
- Cover
- Half-Title
- Series
- Title
- Copyright
- Contents
- Acknowledgments
- CHAPTER 1 ◾ Introduction
- CHAPTER 2 ◾ Correlation
- CHAPTER 3 ◾ Simple and Multiple Regression
- CHAPTER 4 ◾ Assumptions of Multiple Regression
- CHAPTER 5 ◾ Dummy Variables and Interactions
- CHAPTER 6 ◾ Regression vs. ANOVA?
- CHAPTER 7 ◾ Model Comparisons and Hierarchical Regression
- CHAPTER 8 ◾ Moderation/Mediation and Regression Discontinuity
- CHAPTER 9 ◾ Non-Linearity and Cross-Validation
- CHAPTER 10 ◾ Nested Data
- APPENDIX A: INTRODUCTION TO R
- APPENDIX B: NON-PARAMETRIC ANALYSIS BASED ON RANKS
- APPENDIX C: R FUNCTION AND PACKAGE INDEX
- APPENDIX D: END OF CHAPTER EXERCISE SCRIPT FILE SOLUTIONS
- APPENDIX E: GLOSSARY
- INDEX
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Yes, you can access Regression Analysis in R by Jocelyn E. Bolin in PDF and/or ePUB format, as well as other popular books in Mathematik & Wahrscheinlichkeitsrechnung & Statistiken. We have over one million books available in our catalogue for you to explore.