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2026-2027 / PEDA4071-1

In-depth seminar on quantitative research

Duration

20h Th, 10h Pr

Number of credits

 Master in education, professional focus3 crédits 

Lecturer

Virginie Dupont

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This seminar introduces students to the use of Jamovi for conducting descriptives and inferntial statistical analyses.

Learning outcomes of the learning unit

The learning outcomes of this seminar are the following ones :

  • Make appropriate analytical choices based on the research objectives and the nature of the data.
  • Import and manage data (cleaning, transforming, and creating datasets) using the Jamovi software.
  • Conduct basic descriptive and inferential statistical analyses using Jamovi.
  • Read and interpret the results obtained from these analyses.

Prerequisite knowledge and skills

Students are strongly advised to have completed the course "Introduction à la recherche quantitative".

Planned learning activities and teaching methods

The seminar is based on the active participation of students. Drawing on concrete examples, students are invited to reflect on the most appropriate analyses for addressing a specific research question or hypothesis. They will then carry out these analyses, taking all necessary precautions to ensure the validity of the process, and subsequently interpret the results. Theory and practical work are therefore closely integrated throughout the course.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Further information:

Face-to-face course.

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus


Further information:

The slide presentations of each session will be made available on eCampus.

Exam(s) in session

Any session

- In-person

oral exam


Further information:

Oral examination during which students will be required to complete a practical data analysis exercise.

Work placement(s)

Organisational remarks and main changes to the course

Contacts

virginie.dupont@uliege.be

Association of one or more MOOCs