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).
10 credits
60.0 h
Q1
Teacher(s)
Chevalier Philippe; Decrop Alain; El Akremi Assaad;
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.
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
On successful completion of this program, each student will acquire the following skills :
At the end of this course, the student will be able to :
|
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
- Defining Research Problems and background to quantitative research.
- Research designs
- Hypothesis Testing (Conceptual)
- Type I and Type II Error
- Sampling, probability and sampling distributions.
- Statistical Power
- Description and Measurement: Levels of measurement, normal distribution, reliability, validity, and generalizability.
- Surveys: development and variable measurement
- Control variables
- Common Method Variance: Assessment and remedies
- Cross-sectional and longitudinal field studiesExperimental and quasi-experimental research
- Multiple regressions: linear regression, nonlinear regression
- Bayesian analysis usefulness in research in Management: an introduction
- Bootstrapping: an introduction for testing mediation, moderation and moderated mediation
- Structural Equation Models: an introduction
- Multilevel modeling: an introduction
- Logic, automata and context free languages.
- Turing machines. Turing machines build on automata to make it possible to build more elaborate proofs.
- Computability and Complexity theory. Does a problem have an answer? Is the problem well formulated? How can we determine a priori the level of difficulty of a problem?
- Analysis of algorithms.
Teaching methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
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
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
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.
- Oral: No
- Written: No
- Unavailability or comments: No
- 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
