Research Methods

10.00 credits

60.0 h

Q1 and Q2

> Schedule

Teacher(s)

Catanzaro Daniele (compensates Chevalier Philippe); Chevalier Philippe; Taskin Laurent; Verardi Vincenzo;

Language

English

Prerequisites

None

Main themes

The objective for this course is to provide students in business management with tools and skills necessary in Qualitative and Quantitative Research Methods, and to strengthen their logic reasoning skills, in order to help them develop rigorous arguments. A good understanding of principles and techniques of research in management will enable students to apply these techniques, as well as acquire on their own additional techniques rooted in their field of research.

Learning outcomes

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

On successful completion of this program, each student will acquire the following skills :

A scientific and systematic approach
Knowledge and reasoning
Project management
Personal and professional development

At the end of this course, the student will be able to :

confidently conceive, formulate and motivate his/her personal research project, from the research questions to the choice of data analysis approaches;
show their understanding of major qualitative and quantitative research methods and their ability to make use, and interpret the results of the used research techniques;
develop a qualitative and a quantitative research design;
identify and conduct the appropriate techniques for different kinds of research questions;
critically analyze a scientific research contribution in management.

Content

Qualitative Research Methods:

General characteristics of qualitative approaches
Research design and data collection
Interview Guide and questioning
Analyzing and making sense of data
Data Quality Control
Reflexivity and heterodox approaches
Ethnographic and Visual Approaches

Quantitative Research Methods

Revision of linear regression models (least squares, inference, bootstrap)
Maximum Likelihood estimation (location, scale and regression)
Qualitative dependent variable models (binary, polychoromous ordered and unordered, count)
Limited dependent variable regression (censoring and selection)
Panel data (pooled, fixed-effects, random effects, conditional fixed-effects logit, diff-in-diff)
An introduction to structural equation modelling SEM (latent variable, multilevel modelling)

Advanced Discrete Optimization

Polytopes
Efficiency
TDI Systems
Matroid Theory
Equivalence between separation and optimization
Branch-&-cut
Case Studies

Teaching methods

Methodological and theoretical lectures of teachers, accompanied by empirical studies illustrations, alternate with discussions and applications with participants. Teaching is based on reading of scientific articles and book chapters deemed essential to master qualitative and quantitative research methodologies in Management. Students are expected to summarize and present some of these and to discuss it in groups. The content of this course (for example Quantitative Research Methods) will be adapted to the level of advancement of students in order to follow them in their research projects.

Evaluation methods

Continuous evaluation

Date: To be specify later
Type of evaluation: continuous assessment not remediable
Comments: In group/individual, written preparations, reading scientific articles, exercises, etc.

Evaluation week

Oral: No
Written: No
Unavailability or comments: No

Examination session

Oral: No
Written: No
Unavailability or comments: individual work at the end of the January session which can be represented in case of failure in the second session.

Online resources

Moodle

Bibliography

See on Moodle

Faculty or entity

> CLSM

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

Title of the programme

Sigle

Credits

Prerequisites

Learning outcomes

Master [120] in Management

GEST2M