06201111 - Quantitative methodology

This course aims to improve the understanding of the foundations and limitations of statistical methods in the context of management research. It also enables students to implement a research plan using both basic and advanced statistical tools. This course allows students to familiarize themselves with the approach, clarify basic concepts, and acquire both basic and advanced statistical methods.

Estimation of private study (outside of contact hours): 10 hours

DIMENSION OF SOCIAL RESPONSIBILITY

Ethics in research in international management

TARGETED KNOWLEDGE AND SKILLS 

By the end of this course, students should be able to:

• define key statistical concepts and terms used in management research,
• describe the foundations and limitations of various statistical methods,
• construct well-designed questionnaires for management research purposes,
• select and apply appropriate statistical techniques (univariate, bivariate, and multivariate) to analyze research data using tools such as SPSS or R,
• analyze research results using both basic and advanced statistical tools,
• interpret statistical outputs and draw meaningful conclusions from data analysis,
• assess the validity and reliability of research findings based on statistical evidence,
• demonstrate a critical approach to the use and interpretation of statistical methods in management research,
• value the importance of ethical considerations in data collection and analysis.

COURSE OUTLINE

Introduction: Epistemology and Statistical Methods

Part 1: Data and Data Collection
1. Sampling
2. Measurement (reliability and validity, quantitative and qualitative variables)
3. Choosing a statistical tool
4. The logic of statistical testing

Part 2: Univariate and Bivariate Statistics
1. Univariate statistics (mean, variance, standard deviation, frequencies, median)
2. Bivariate statistics

• Chi-square (χ²)
• T-tests (single sample, independent samples, paired samples)
• Correlation
• Regression
• Analysis of variance

Part 3: Multivariate Analysis
1. Descriptive methods

• Typology
• Factor analysis (Principal Component Analysis)

2. Explanatory methods

• Multiple regression

PRESCRIBED TEXTS AND PUBLICATIONS

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning: with Applications in R. Springer.

EMBLEMATIC BOOKS OR RESEARCH PAPERS REGARDING THE SUBJECT OF THE COURSE

• Baron R.M., Kenny D.A. (1986), Moderator-Mediator Variable Distinction in Social psychology Research : Conceptual., Strategic, and Statistical Considerations, Journal of Personality and Social Psychology, 51, 6, 1173-1186.
• Vernette, É. (1991). L'efficacité des instruments d'études: évaluation des échelles de mesure. Recherche et Applications en Marketing (French Edition), 6(2), 43-65. 

Individual grade
Participation

Other grade(s)
Grading during class
Case study (data analysis using SPSS software), 4h

TEACHING METHODS
Theoretical and practical issues

NATURE OF MATERIALS
Power Point presentations, real datas analyzing.

TEACHING INNOVATIONS AND USE OF TECHNOLOGY
Data processing using SPSS

PRE-REQUISITES IN TERMS OF KNOWLEDGE AND SKILLS
Basic knowledge on statistics

ADVISED PRIOR READING

French : 

• Evrard Y., Pras B., Roux Choffray J.M., Dussaix A. (1993) Market études et recherches en marketing, Nathan.
• Vernette E., Techniques d'études de marché.
• Thietart R. A. (2014). Méthodes de recherche en management, 4e édition, Dunod.
• Roussel P., Wacheux F. (2005). Management des ressources humaines: Méthodes de recherche, De Boeck Supérieur.

English : 

• Bryman, A., & Bell, E. (2015). Business Research Methods (4th ed.). Oxford University Press.
• Malhotra, N. K. (2019). Marketing Research: An Applied Orientation (7th ed.). Pearson.