2023-2024 / PSYC5913-1

Research methodology: quantitative approach


20h Th, 10h Pr

Number of credits

 Master in psychology (120 ECTS)4 crédits 


Vincent  Didone, Etienne Quertemont


Etienne Quertemont

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course is specially intended for students involved in a master thesis using quantitative methodology. It will cover the various stages involved in planning and interpreting the results of a quantitative study in psychology (choice of statistical analysis, sampling, sample size, etc.). A particular attention will be devoted to the correct interpretation of results and to typical errors to be avoided when analyzing data.

Learning outcomes of the learning unit

At the end of the course, students will be able to:

  • Plan a study based on quantitative methodology (formulate and operationalize hypotheses, determine sample size, choose experimental design, etc.).
  • Select appropriate quantitative measurement tools.
  • Organize and clean a database.
  • Correctly choose statistical treatments to test hypotheses.
  • Properly interpret the results of statistical analyses.
  • Show critical thinking in data interpretation.

Prerequisite knowledge and skills

Students are expected to master the basic principles of descriptive and inferential statistics form the courses of Psychostatistics in the bachelor in psychology.

Planned learning activities and teaching methods

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

Face-to-face course

Recommended or required readings

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Work placement(s)

Organisational remarks and main changes to the course



E. Quertemont, Tel: 04/366.21.05, equertemont@uliege.be

V. Didone, Tel: 04/366.22.63, vdidone@uliege.be

Association of one or more MOOCs