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.
Prerequisiti
Fundamental statistics for Psychology and the Behavioural Sciences
Metodi didattici
This course will adopt a variety of learning methods, by blending traditional lectures with experiential learning activities and incorporating group exercises and practical exercises.
Verifica Apprendimento
Written. A 2500 words (max) essay (in a research report format) 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 Bayesian analyses of the data and compare and contrast the relevant outcomes.
Testi
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
Contenuti
The program will involve the use of standard inferential statistical tests both in frequentist and Bayesian approaches.
