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SOCA-D403

Analyse quantitative II

academic year
2026-2027

Course teacher(s)

Dirk JACOBS (Coordinator)

ECTS credits

5

Language(s) of instruction

french

Course content

Factor analysis, multiple regression, logistic regression, path analysis with and without measurement error being taken into account, analysis of variance, log linear analysis

Objectives (and/or specific learning outcomes)

Familiarize students with some of the major techniques for quantitative analysis in the social sciences. The course has a hands on approach.

Prerequisites and Corequisites

Required and Corequired knowledge and skills

You need to have attended these (or equivalent) courses: 
STAT-D-103 - Eléments de Statistique
INFO-D-203 - Analyse exploratoire  STAT-D-203 - Analyse Quantitative I 
We will go back to some of the basics to get everybody up to speed, but cannot linger on this. 

Courses requiring this course

Teaching methods and learning activities

ex cathedra and exercices in computer classes

References, bibliography, and recommended reading

Main book: Cramer, D. (2003) Advanced Quantitative Data Analysis. Open University Press. Berkshire : MacGraw -Hill Education. ISBN 0335 20059 1.

Course notes

  • Université virtuelle
  • Syllabus

Other information

Contacts

dirk.jacobs@ulb.ac.be titulaire
yasmina.eljaouari@ulb.be assistante

Campus

Solbosch

Evaluation

Method(s) of evaluation

  • Practice exam
  • Oral examination
  • Other

Practice exam

  • Out-of-session examination
  • Open question with short answer

Oral examination

  • Open book examination
  • Examination with preparation
  • Open question with short answer

Other

Oral exam with written preparation, "open book" exam.

As part of the practical sessions, a mid-term assessment, held outside the examination period, will take place halfway through the term. It will consist of an open question assessment designed to evaluate students’ ability to identify and select appropriate statistical methods and tests, formulate the statistical problem to be addressed, and interpret the results of statistical analyses provided by the R software. Students will not be required to perform statistical analyses in R during this assessment, but only to interpret the results. The mid-term assessment is worth 5 points. In the second examination session, only the examination grade will be taken into account ; the grade obtained in the mid-term assessment will not carry over to the second session.

Mark calculation method (including weighting of intermediary marks)

15 points oral examination, 5 points intermediary tests (but not for the second session).

Language(s) of evaluation

  • french

Programmes