Teacher(s)
Language
French
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
The course comprises:
1. Introduction to research logic
2. Cross table analysis
3. Index construction
4. Introduction to classification analysis
5. Introduction to principal component factorial analysis.
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 | The course and practical work are intended to help students acquire basic data analysis skills in the Social Sciences and constitute an introduction to multivariate analysis. By the end of this course, students should be able to: 1°/ specify the different types of problems-questions for which the methods studied in the course are relevant; 2°/ interpret the statistical analyses for which these methods apply; 3°/ make deliberate use of the principal instruments of descriptive statistics and statistical inferencing introduced during the Statistics and Elements of Probability course and which will be reviewed when the related SPSS commands are taught. |
Bibliography
Bugeja-Bloch F., Couto M.-P., 2021, Les Méthodes quantitatives, Paris, France, Presses Universitaires de France, Que sais-je ?, 130 p. doi:10.3917/puf.bugej.2021.01
Masuy-Stroobant G., Costa R., 2013, Analyser les données en sciences sociales, P.I.E. Peter Lang, Bruxelles, Belgique, 304 p.
Masuy-Stroobant G., Costa R., 2013, Analyser les données en sciences sociales, P.I.E. Peter Lang, Bruxelles, Belgique, 304 p.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Minor in Human and Social Sciences
Minor in Political Sciences
Bachelor in Philosophy, Politics and Economics
Minor in Sociology and Anthropology
Minor in Population and Development Studies