ABSTRACT

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

chapter Chapter 1|6 pages

Introduction

chapter Chapter 2|20 pages

Correlation

chapter Chapter 3|14 pages

Simple and Multiple Regression

chapter Chapter 4|14 pages

Assumptions of Multiple Regression

chapter Chapter 5|14 pages

Dummy Variables and Interactions

chapter Chapter 6|10 pages

Regression vs. ANOVA?

chapter Chapter 8|18 pages

Regression Extensions 1

Moderation/Mediation and Regression Discontinuity

chapter Chapter 9|16 pages

Regression Extensions 2

Non-Linearity and Cross-Validation

chapter Chapter 10|14 pages

Regression Extensions 3

Nested Data