Entry requirements

To be admitted to the course, undergraduate degree of at least 120 credit points is required/180 credits, of which at least 60 credit points/90 credits are within social science, or equivalent.

Learning outcomes

A student who has taken the course should:

- have obtained practice in applying analytical methods for the social and the - and behavioural sciences

- be able to use statistical software packages for the analysis of statistical data

- be able to interpret the results of a statistical analysis

- be aware of limitations and possible sources of errors in the analysis

- have ability to both in oral and written form present results of statistical analysis

Content

Practical application of statistical methods used within the social and the behavioural science. Data collection and sampling methods. Inference, relationships between variables, correlation, regression analysis, models for dichotomous/polytomous dependent variables and analysis of questionnaire data are examples that are treated during the course.

Instruction

Teaching is given in the form of lectures.

Assessment

The examination consists of a written examination and 3 written written assignments.