Enrollment year
2022/2023
Academic discipline
M-PSI/03 (PSYCHOMETRICS)
Department
DEPARTMENT OF BRAIN AND BEHAVIORAL SCIENCES
Course
PSYCHOLOGY, NEUROSCIENCE AND HUMAN SCIENCES
Curriculum
PERCORSO COMUNE
Period
2nd semester (12/02/2024 - 31/05/2024)
Lesson hours
36 lesson hours
Activity type
WRITTEN AND ORAL TEST
Prerequisites
Fundamental statistics for Psychology and the Behavioural Sciences
Learning outcomes
This course aims to develop knowledge and understanding in several key areas of statistics and research methodology. In particular the main aim is to provide the foundation of Frequentist and Bayesian analysis with their application in different areas of psychology (e.g. Developmental psychology, Cognitive Psychology, Experimental Psychology, Clinical Psychology) and, more in general, behavioural sciences :
a)Advanced comprehension of theoretical models and the interpretation of experimental data with reference to behavioural sciences .
b) Advanced understanding of the methods and experimental techniques employed in the behavioural sciences
c) Ethical and deontological awareness necessary for conducting experimental procedures in the area of Psychology.
Furthermore, the course aims to promote critical thinking and to induce the ability to apply the knowledge and
understanding effectively in the area of Psychology.
Course contents
The program will involve the use of standard inferential statistical tests both in frequentist and Bayesian approaches.
Teaching methods
This course will adopt a variety of learning methods, by blending traditional lectures with experiential learning activities and incorporating group exercises and practical exercises.
Reccomended or required readings
Riccardo Russo (2020). Statistics for the Behavioural sciences: An Introduction (Ed.II). Routledge.
Other material will be provided at the beginning of the course and made available via KIRO
Assessment methods
Written. A 2500 words (max) essay based on data analysis (either from data you collected or from published studies) is required to assess this module. You will be required to provide both frequentist and BAesian analyses of the data and compare and contrast the relevant outcomes.
Further information
These are available on Kiro
Sustainable development goals - Agenda 2030