Qualitative and quantitative research methods for business

Aims of the course

This course aims to develop students’ abilities to design and carry out methodologically sound and practically relevant empirical research of qualitative nature.

Course syllabus

1. Theoretical foundations of qualitative research.
2. History and ethics of qualitative research.
3. Qualitative research in practice:
– Typologies of approaches and methods.
– Phenomenology.
– Structural analysis.
– Observation studies.
– Case studies.
– Other techniques and approaches.
– Specifics of qualitative research within specializations od doctoral program.
4. Qualitative data analysis.
5. Probability and statistics
 Probability and probability distributions
 Sampling distribution theory
 Theory of Statistical inference
6. Quantitative data analysis:
 Multivariate data analysis
o Principal components
o Factor analysis
o Discriminant analysis
o Clustering
 Maximum likelihood estimation
 Generalized linear modells (GLM)
o ANOVA and ACOVA
o Logit and probit models
o Multinomial and ordinal logistic regression
 Hierarchical (multilevel) models
 Structural Equation Modeling
 Network analysis
o Network »descriptive« statistics
o Block modelling
o Stochastic models for static and dynamic networks
 Other methods according to specific students' needs and advances in methodology

Course director(s)