top of page

Outils et méthodes de recherche en neuropsychologie (OMN)

Professor

Adélaïde de Heering

Sébastien Serlet (assistant)

Schedule

48h (24h of theory, 24h of TP) 

First semester

Public

Master students in clinical neuropsychology

Master students with a specific focus on research

PhD candidates (optional)

Post-doctoral fellows  (optional)

​This course unit (CU) consists of two parts:


The “data acquisition” component focuses on the presentation and use of stimulation and data collection tools as they are used in the field of neuropsychology. More specifically, the theoretical course considers why and how data should be acquired, which tools should be used, and what should be taken into account before, during and after data acquisition. The practical sessions aim to provide students with the basics of Python programming and, more specifically, to teach them how to use PsychoPy in order to develop simple experimental paradigms in this working environment.


The “data analysis” component aims to strengthen students’ statistical training and introduce them to the use of appropriate software for this purpose. More specifically, the theoretical course considers how to process data, select a statistical test, use statistics from both frequentist and Bayesian perspectives, and analyse data collected in an experimental setting. The practical sessions focus on the use of R and JASP.

Description

Objectives

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

​

  • Reflect on the factors involved in data acquisition in an experimental setting and on how to analyse the resulting data;

  • Use PsychoPy independently to create a simple experimental paradigm;

  • Using the same software, determine the appropriate options for acquiring an experimental dataset from among a range of possibilities;

  • Use R and JASP to perform descriptive and inferential statistics.

bottom of page