This course is designed to develop quantitative research skills with practical applications in social science contexts. It will focus on key topics such as the analysis of ordinary least squares (OLS), methods for estimating bivariate and multivariate regression models, assessing the overall goodness of model fit, and hypothesis and diagnostic tests. Participants will also receive insights into research design, data management, statistical analysis, and interpreting research outcomes.

The course adopts a "learning by doing" approach, delving into major themes in regression analysis through detailed examples. These examples illustrate the practical application of the regression concepts using the statistical program R.