This course is an introduction to the quantitative methodology of the social sciences. A thorough introduction to linear-regression analysis is complemented by a more preliminary introduction to the analysis of non-linear functional relationships (especially those associated with binary dependent variables). Teaches students how to construct, estimate, and interpret empirical models which match their theoretical counterparts and maximize leverage from available data for the empirical evaluation of those theoretical propositions. Classic linear regression model, extensions thereof, specifications and data issues therein (such as omitted variables, multicolinearity, and multiplicative interactions), criticism of such models, and some introduction to time-series and binary-dependent-variable models.