Research methods in labour science

ltrav2010  2020-2021  Louvain-la-Neuve

Research methods in labour science
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
4 credits
30.0 h + 10.0 h
Rousseau Anne;
Main themes
a) The methodological approach will focus on the construction of an issue in relation to a research topic. b) The course will help students to identify the main statistical sources of economic and social data and the processing of quantitative data (an introduction to descriptive statistical analysis: measuring concentration and dispersal, chronological series, the constitution of simple and complex indexes, and the presentation and com-prehension of data (e.g. tables, graphs and histograms)). Training also opens the way for an analysis of regres-sion and correlation, and is an introduction to the calculation of probability and theories of sampling. c) Research techniques incorporate the processing of observation data and qualitative surveys, historical criti-cism and documentary analysis, and statistical analyses.

At the end of this learning unit, the student is able to :

1 a) To present the various methodological stages of a process of research in social sciences, and of their linkage. b) To introduce students to research techniques in social sciences, and to the conditions and limitations of their validity and relevance.
Ouvrage de référence:  Raymond Quivy et Luc Van Campenhoudt, Manuel de recherche en sciences sociales, Dunod, Paris, 1995
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Master [120] in Labour sciences (shift schedule)

Master [120] in Human Resources Management