Building upon the knowledge and skills acquired in the introductory course, this advanced course delves deeper into the analytical dimensions of process tracing and eye-tracking data. Students will learn to scrutinize the underlying assumptions of data, sharpen their analysis techniques, and emphasize reproducibility in data analysis. By cultivating a critical understanding of the complexities involved in eye-tracking studies, students will be positioned to conduct innovative, robust, and reproducible research.

By the end of the course, students will be able to:

1. Critically assess and identify the assumptions underlying process tracing data.
2. Apply advanced data analysis techniques to eye-tracking data.
3. Understand and implement strategies for reproducible data analysis.
4. Evaluate the reproducibility of existing studies in the domain of process tracing.
5. Develop and execute a high-quality eye-tracking study with a focus on reproducibility.

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20%

TBD

Successful completion of the introductory course on decision-making processes, eye-tracking methodology, and data analysis techniques.

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To benefit from the class, you need to be at least in the design stage of your research project.