Main field(s) of study and in-depth level:
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified
Fail (U), Pass (G), Pass with distinction (VG)
The Department Board
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.
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
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.
Teaching is given in the form of lectures.
The examination consists of a written examination and 3 written written assignments.