Research Methods

llsma2002  2019-2020  Louvain-la-Neuve

Research Methods
Note du 29 juin 2020
Sans connaitre encore le temps que dureront les mesures de distances sociales liées à la pandémie de Covid-19, et quels que soient les changements qui ont dû être opérés dans l’évaluation de la session de juin 2020 par rapport à ce que prévoit la présente fiche descriptive, de nouvelles modalités d’évaluation des unités d’enseignement peuvent encore être adoptées par l’enseignant ; des précisions sur ces modalités ont été -ou seront-communiquées par les enseignant·es aux étudiant·es dans les plus brefs délais.
10 crédits
60.0 h
Q1
Langue
d'enseignement
Anglais
Contenu
                  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
  • 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 and algorithm
  • 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.
Méthodes d'enseignement
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.
Modes d'évaluation
des acquis des étudiants
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.
Ressources
en ligne
Moodle
Bibliographie
See on Moodle
Faculté ou entité
en charge


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

Intitulé du programme
Sigle
Crédits
Prérequis
Acquis
d'apprentissage
Master [120] en sciences de gestion