Objectives of Programme's Learning Outcomes

• Understand the theoretical and methodological fundamentals in psychology and educational sciences to analyse a situation involving these disciplines
• Describe the principles of methodological approaches (objectives, methods, techniques and tools) to understand and explain the functioning of individuals, groups and organisations
• Provide clear, accurate, and reasoned information
• Summarise the contributions of different sources to justify an opinion or decision
• Write bibliographic references and results of statistical analysis in a standardised way (according to APA standards)
• Collaborate, work in a team
• Demonstrate active listening and empathy in the context of an interpersonal situation
• Identify and appropriately implement the different ways of working in a group
• Act ethically and professionally
• Name, and be familiar with, legal frameworks and ethical principles that govern research and practice in psychology and educational sciences, and implement them in studies in a reflexive manner (exams, work, etc.)
• Grow personally and professionally
• Develop their scientific curiosity and open-mindedness
• Understand the various means available for documentation, to promote self-learning and lifelong learning
• Understand the fundamentals related to the scientific approach in psychology or educational sciences
• Identify and explain the main methods (including limitations) specific to the scientific process
• Give a critique and argue a point of view as part of a scientific approach

Learning Outcomes of UE

The student will be able to reconstruct the reasoning having proceeded to the construction of the procedures / to select (the) procedure (s) adequate to the treatment of a given problem  / to perceive the limitations of the inferences built from a statistical treatment / to proceed to the treatment of concrete data by means of the procedures being the object of the lessons with help either of the calculator or the proposed statistical software.

UE Content: description and pedagogical relevance

Statistical Tests of hypothesis: parametric analyses of variance (simple, for completely nested device, in two-crossed criteria), analyzes the covariance, nonparametric analyses of variance (Friedman, L of Page, Kruskal-Wallis).
Analysis of the link between variables: notion of correlation, multiple correlation, partial correlation, not linear correlation, nonparametric correlation.
Data processing by means of statistical treatment software.

Prior Experience

Méthodologie de l'expérimentation (bloc2)
Statistique I (bloc1)