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Quantitative Methods in the Social Sciences 2

The course deals with advanced applications of linear regression (such as interactions, transformations, marginal effects, testing hypothesis, decomposition methods, measurement errors), linear regression extensions (multilevel and panel data models), as well as models for discrete outcomes (binary, ordered and multinomial logit).

In the course, emphasis is placed on the craft, i.e., implementing, understanding and interpreting analyses with the aforementioned methods rather than on statistical theory, although some statistical theory is included as part of the deeper understanding required by the course. In addition, the course provides an overview of research traditions in quantitative social sciences (such as experiments, quasi-experiments, observation data models) as well as the  problems of causality. The course focuses on computer exercises in which the course participants themselves work on analysing a data material.

The course design centers on active student participation. The bulk of theoretical learning will take place through reading and discussing texts and conducting analyses in labs or assignments. Labs are in a DIY (do-it-yourself) format. The lab will be conducted independently by the students following instructions (doing it in a group is a good idea). The teaching focuses on providing feedback and discussing the lab. Expect the lab to take at least two hours to complete. This preparation is necessary to benefit from the feedback seminar.

The literature and article seminars are mandatory. Each student will be assigned a paper to present (max 10 min) and prepare five questions to discuss during the seminar (while still reading all papers).


Teaching Format

Teaching is given in the form of lectures, practical exercises in a computer room, as well as seminars.

Assessment

The examination is in the form of group and individual assignments, which will be of formative kind.

Examiner

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.







Questions about master's studies

For questions about the master’s programmes in Demography and Sociology or our master’s courses, such as admissions, registrations, study breaks and transfer of credits, you are welcome to contact the master's assistant directors.

Anna Borén, Anna Carin Haag

Study counsellor

For guidance on study techniques, academic planning, grade transfers, certificates, and more.

If you run into problems with your studies, you are welcome to contact the counsellor, who works under a duty of confidentiality.

You can also book a meeting with the counsellor if you need long-term study and career planning.