Quantitative data management, descriptive analysis, and statistical modelling

The aim of the course is to provide students with a practical introduction to both basic and advanced statistical analysis and modelling.

The course includes a review of statistical concepts and measures, different types of bivariate associations, and regression models used in analysing relationships between multiple variables. After completing the course, students will be able to handle quantitative datasets, generate and interpret descriptive statistics, carry out statistical analyses such as correlation, t-tests, chi-square tests, ANOVA, and regression analysis, as well as understand the importance of confounding, mediating, and moderating factors.

Detailed information will be shared with registered students in the learning platform Canvas.

You will also find more information in the course plan.

Teaching Format

The teaching will be based on lectures and seminars.

It is mandatory to actively participate in the lectures. Mandatory parts that are not fulfilled in the allocated time are to be completed next time the course is offered.

The course will be taught in English.

Course manager

Ylva B. Almquist
email: ylva.almquist@su.se

Assessment

The course is examined through five individual take-home assignment, (5 credits - 1 credit per assignment), and by an on-campus exam (5 credits).

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.

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