Quantitative Methods in the Social Sciences 2

Education facts

Code: SO7033

The course covers advanced applications of linear regression (e.g., marginal effects, decomposition methods, measurement error), extensions of linear regression (multilevel and panel data models), and models for discrete outcomes (binary, ordered and multinomial logit). The course emphasizes the craftsmanship of conducting and interpreting these methods. The course requires prior knowledge of linear and logistic regression similar to what is given in Sociology III at SU. Students who lack relevant knowledge should take Quantitative Methods in the Social Sciences I, SO7032, which is also preparing for this course.

Entry requirements

Bachelor's Degree, English 6 and Quantitative Methods in the Social Science 1 or equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Quantitative Methods in the Social Sciences 2

  Stockholm University

  Start date: 23 March 2026

  End date: 7 June 2026

  Pace of study: 50 %