UCL - Quantitative methods in social sciences I

[DEMO2170]

[20h + 30h] 5 credits

This course is taught in the 1st semester.

Teacher(s): Godelieve Stroobant

Language: French

Level: Second

Aims
Main themes
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Aims

Master the basic tools of multivariate analysis of survey data, and particularly dependency analyses: multiple regressions and logistic regression.
Ability to understand and make use of scientific literature having recourse to these methods
Acquiring autonomy in the use of a data analysis software
Ability to select a strategy of data analysis related to a specific research question and to present and interpret the results.

Main themes

1. Reminder of the basic statistical tools and their application to survey data: average, standard deviation, variance, for continuous data; frequency distributions for nominal data
2. Bivariate analysis and association measures: correlation coefficient, simple regression, for continuous data; X², relative risk, odds ratio, for nominal data; confidence intervals, statistical tests
3. Introducing a third variable : notion of interaction, confounder, crude and net effects
4. Multiple regression
5. Logistic regression.

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

A basic course in statistics or in quantitative methods is recommended

Group work and oral examination.

Course documents on Icampus

Tutorials by a teaching assistant