Information technologies applied to statistical analysis in social sciences

Duration

30h Th

Number of credits

Lecturer

Sébastien Fontaine

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

How to analyze survey statistical data, in particular the European Social Survey using information technologie, how to interpret the statistical results?

Learning outcomes of the learning unit

Knowledge of statistical tools applied to statistical analysis in the social sciences Ability to use the GMP (SAS) software applied to European Social Survey data
Ability to use the EXCEL software applied to European Social Survey data
and
Ability to use the online statistical analysis software applied to European Social Survey data (Specially the one for ESS).

Prerequisite knowledge and skills

e-mail and Internet technologies Introductory course in Statistics
Introduction to Computing in Social Sciences

Planned learning activities and teaching methods

Exercises applied on European Social Survey data
Computer Lab

Mode of delivery (face-to-face ; distance-learning)

Lectures and practical cases : 30hrs

Recommended or required readings

Assessment methods and criteria

Oral exam. "Oral exam" means an exam that you take live on a computer in a computer room.

Work placement(s)

Organizational remarks

Readings:
Premiers pas en Statistique, Yadolah DODGE, Spinger Verlag, France, 1999.
Web Link : ESS Survey

Contacts

Instructor:
Sébastien Fontaine
Maitre de conférence / Doctorant
Institut des sciences humaines et sociales & CLEO Université De Liège
 
Tel : +32 4 366 31 50
Mail : sebastien.fontaine@ulg.ac.be

Items online