Research in Personality Science
General Information
Estimated learning time
Recommendations
Competences / Learning outcomes
Learning objectives
Teaching blocks
Teaching methods and general organization
Official assessment of learning outcomes
Reading and study resources
General Information
| Course unit name | Research in Personality Science |
| Course unit code | 572149 |
| Academic year | 2024/2025 |
| Coordinator | David Gallardo Pujol |
| Department | Department of Clinical Psychology and Psychobiology |
| Credits | 2.5 |
| Single program | S |
Estimated learning time
| Activities | Type of training | Hours | Observations |
|---|---|---|---|
| Face-to-face and/or online activities | 25.5 | ||
| - Lecture | Face-to-face | 1.5 | |
| - Lecture with practical component | Face-to-face | 15 | |
| - IT-based class | Face-to-face | 9 | |
| Supervised project | 21 | ||
| Independent learning | 16 |
Recommendations
- Research in Individual Differences
Competences / Learning outcomes to be gained during study
- Capacity to apply the acquired knowledge to problem-solving in new or relatively unknown environments within broader (or multidisciplinary) contexts related to the field of study.
- Capacity to integrate knowledge and tackle the complexity of formulating judgments based on incomplete or limited information, taking due consideration of the social and ethical responsibilities involved in applying knowledge and making judgments.
- Capacity to comprehend that psychological explanations may differ from one case or context to the next, and to recognize and respect human diversity. Capacity to recognize and respect human diversity.
- Capacity to identify and describe different levels of personality.
- Capacity to search for and evaluate scientific evidence to support claims and interventions in the field.
- Skills in evaluating scientific research in behaviour and cognition.
Teaching blocks
1 Computational models in personality and social psychology
2 Trait theory and social cognitive theory of personality
3 Personality as a process (in the short and long term)
4 Description and measuring of situations
5 Person–situation interactions
Teaching methods and general organization
The course is structured intensively around six weeks. Each week comprises two hours of lectures with a practical component and one hour of group tutorials. Each week, students are given a series of articles to be presented and discussed in class. Students must submit a summary of the articles before the session. The last two sessions consist of intensive applied computer practice during which students develop a project worked on from the first day of class.
Official assessment of learning outcomes
Throughout the course, each week students must submit a critical summary of the article discussed the previous week (maximum 1000 words). The presentation and assessment of, at least, 80% of the summaries is worth 20% of the final grade.
The remaining 80% corresponds to the presentation of a computer simulation project completed individually or in groups. Both the presentation and the project are assessed by means of a rubric.