PSY4322 – Statistics for cognitive neuroscience
Course content
The course provides students with an overview of statistical methods and data analysis procedures commonly used in cognitive neuroscience, including sample size estimation, scale construction, preprocessing neuroimaging data, and analysing results from neuroimaging experiments and observational data, using R and MATLAB. The teaching is organized as workshops, including both lecturing and tutorials.
Learning outcome
Knowledge
You will learn
? The principles and procedures of classical inferential statistics, the major statistical tests for single factors and multifactor designs.
? The principles and processes of Bayesian statistics, approaches to quantify model validity, and model comparisons.
? The principles of machine learning and their applicability to neuroscientific data ? Appropriate sample size estimation for experimental designs.
? Principles of research plans and operationalization of research ideas.
? Preregistration of research plans.
Skills
? Be able to use statistical software packages to import, analyse, and report statistical results.
? Pre-process, clean, and prepare data for appropriate statistical testing.
? Compare statistical analysis procedures and quantify/qualify the appropriateness of statistical tests.
? Qualify the nature of experimental setups and experimental conditions, and prepare the correct statistical analysis pipeline.
? Choose appropriate parameter settings for statistical tests.
? Choose and apply documentation principles and formats for preregistration reports.
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General competence
? Understands the concept of data quality and the complexity of neuroscientific data.
? Critically assess the scientific reasoning behind the choice of statistical methods.
? Competence in acquiring programming skills necessary for performing statistics within specific neuroscientific methods modalities (e.g. neuroimaging).
? Has the necessary theoretical and practical requirements to go on to preprocessing and analysing electrophysiological and neuroimaging data in the courses PSY4323 Electrophysiology in cognitive neuroscience and PSY4324 Neuroimaging in cognitive neuroscience.
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for?in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about?admission requirements and procedures.?
The course is not available for singe course or exchange students.
Teaching
The teaching is organized as workshops, each consisting of 2h lectures and 2h seminars with tutorials.
Examination
4 hour school exam.
Examination support material
No examination support material is allowed
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about?the grading system.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.