Regression analysis for the social sciences Examples of social science research using regression analysis Planning a quantitative research project with existing data Basic features of statistical packages and data documentation Basics of writing batch programs with statistical packages Basic concepts of bivariate regression Basic concepts of multiple regression Dummy variables Interactions Nonlinear relationships Indirect effects and omitted variable bias Outliers heteroskedasticity and multicollinearity Putting it all together and thinking about where to go next