Students will acquire advanced skills in using psychometric tools and methodologies, learning to integrate such skills to conduct and interpret research critically and innovatively. They will be able to:
- Understand the nature and characteristics of psychometric data, evaluating their quality and applicability.
- Select and apply advanced tests and questionnaires, considering theoretical and practical aspects.
- Design, acquire, and prepare psychometric data for the analysis of large datasets.
- Implement, recognize, simulate, interpret, and visualize complex analysis models using professional software.
- Recognize and counteract bias and pitfalls in psychometric and neuroscientific methodology.
- Evaluate the uniqueness of data related to mental and cognitive processes, incorporating this awareness into the analysis and interpretation of neuroscientific research.
- Critically assess the nature and characteristics of data, with an eye to quality and applicability, recognizing and countering biases and methodological pitfalls
- Use innovative approaches in the selection and application of tests and questionnaires, and in the design of analysis models, to address and solve complex problems creatively
- Analyze and discuss real or simulated case studies during lectures, to explore concrete applications of psychometric and neuroscientific methodologies, developing the ability to apply theory to practice
- Develop and present in groups research projects that culminate in a simulated presentation or publication (including the production of a completely original psychometric tool by the students), to prepare towards scientific dissemination
Students will also be able to effectively communicate research results to both specialist and non-specialist audiences.