Advanced Statistical Methods, 6 credits

Main field of study

Course level

Advancement level

Course offered for

• Master Programme in Cognitive Science

Entry requirements

For admission to the course, the specific entry requirements that apply for The master's education in Cognitive Science must be satisfied. 

Intended learning outcomes

On completion of the course, the student should on advanced level be able to
- chose, motivate their choice and critically evaluate statistical analysis methods in relation to research questions
- perform, interpret and report analysis of variance, regression analysis and factor analysis on data arranged to fit these analysis methods
- perform, interpret and report one of the above mentioned analysis methods on real world messy data
- describe and perform statistical analysis methods so that they are reproducible.

Course content

The course covers: 
- choice of analysis methods
- analysis of variance
- regression analysis
- factor analysis
- interaction effects
- reproducibility of analysis
- open data
- presentation of results in journals 

Teaching and working methods

The teaching consists of lectures, assignments, seminars, and independent studies. 

Examination

The course is examined through individual assignments and presentation of an analysis. Detailed information can be found in the study guide.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department