Applied Statistics for the Social and Health Sciences (Hardcover)

Part 1: Getting Started  1. Examples of Social Science Research Using Regression Analyses  2. Planning a Quantitative Research Project with Existing Data  3. Basic Features of Statistical Packages and Data Documentation  4. Basics of Writing Batch Programs with Statistical Packages  Part 2: Basic Descriptive and Inferential Statistics  5. Basic Descriptive Statistics  6. Sample, Population and Sampling Distributions  7. Basic Inferential Statistics  Part 3: Ordinary Least Squares Regression  8. Basic Concepts of Bivariate Regression  9. Basic Concepts of Multiple Regression  10. Dummy Variables  11. Interactions  12. Nonlinear Relationships  13. Indirect Effects and Omitted Variable Bias  14. Outliers, Heteroskedasticity, and Multicollinearity  Part 4: The Generalized Linear Model  15. Introduction to the Generalized Linear Model with a Continuous Outcome  16. Dichotomous outcomes  17. Multi-Category Outcomes  Part 5: Wrapping Up  18. Roadmap to Advanced Topics