| Teacher | Face to face hours | Working hours | ECTS |
|---|---|---|---|
| Seckin Arslan (BCL) & Vincent Vandewalle (Inria, LJAD) | 30 | 60 | 6 |
Description
This course will provide a comprehensive overview of main data collection and statistical data analysis procedures over five major modules (see below). The course will take 10 weeks in total and in each lecture, we will be mostly using data collection and analysis procedures for language and cognitive processing data, but at the end of the course, students are expected to be able to apply these procedures to data from other domains as well. In all sessions (except for single case studies), we will be using PsychoPy and R studio. Relevant packages, sample datasets and codes will be provided to students. Students are strongly advised to bring their personal computers with PsychoPy and R studio installed. The structure of lectures will be organized in such a way that students will first follow step-by-step tutorials and then be given some time for tutor-supervised lab-sessions, during which there will be opportunities for students to immerse themselves into the experimental data collection and/or statistical procedures they have just learned.
Learning outcomes
- Develop a working idea of how scientists use experimental techniques in cognitive science focusing on some aspects in psychology and neuro/psycholinguistics.
- Generate a well-developed research question to study cognitive processing
- Program a simple experiment of their choice
- Analyze experimental data using mixed-effects regression models
- Interpret statistical outputs
Course plan
- General introduction, Accuracy data
- Response times data
- Single case, patient and/or treatment studies
- Eye movements data
- Event-related potentials (ERP) data