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).
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Teaching spring 2021 - until March 22.
On the advanced level, teachers can decide whether they prefer to teach via Zoom only or use a hybrid model (Zoom and classroom teaching), provided that restrictions are met. For all levels, examination is done via Zoom or take-home exam (no in-class exam).
Information about teaching from March 23 will come later.
Given the uncertainty of the situation, the above may change. For information on changes and what applies to each course, you are therefore primarily referred to the learning platform Athena. We urge you to keep yourself updated on what is happening/ applies to your course.
Students on waiting list
If we have places left students on waiting list will be contacted by email closer to the start of the course.
Athena -the learning platform
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Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
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Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
For new international students
In the course, emphasis is placed on the craft, i.e., to implement, understand and interpret analyzes with the aforementioned methods rather than 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 where the course participants themselves work with analyzing a data material.
Course PM - all you need to know
Teaching is given in the form of lectures, practical exercises in a computer room, as well as seminars.
The course is examined through assignments, most of which are based individual computer exercises, but also on interpretations of existing analyzes. The assignments are conducted in groups and individually.
Professor of Sociology Martin Hällsten
ScheduleThe 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.