International Business Studies FT
Apply Icon

Research Methods III: Advanced Quantitative Analysis

level of course unit

2nd study cycle, Master

Learning outcomes of course unit

The students are able to:
• explain the limitations of linear models such as OLS with respect to nominal/ordinally-scaled dependent variables and identify alternative models.
• identify the potentials of models with binary dependent variables and apply them competently to relevant research questions.
• analyze questions from market research with regard to e.g. purchase decisions or customer satisfaction using Logit/Probit models and to interpret the results.
• theoretically model consumer preferences and optimal pricing through conjoint analysis and investigate them empirically.
• implement and evaluate models from the field of nominal/ordinal scaled dependent variables and conjoint analysis independently on the basis of software such as STATA or R.

prerequisites and co-requisites

Course: Research Methods I & II

course contents

• Analysis of nominal/ordinal scaled dependent variables
• Logit/Probit models and Maximum Likelihood Estimation
• Empirical preference estimation and conjoint analysis
• Determinants of purchase decision and customer satisfaction
• Implementation of models with STATA or R

recommended or required reading

• Wooldridge, Jeffrey: Introductory Econometrics A Modern Approach. Cenage Learning (latest edition)
• Chapman, Chris; McDonnell Feit, Elea: R For Marketing Research and Analytics. Springer (latest edition)
• Orme, Bryan: Getting Started with Conjoint Analysis. Research Publishers (latest edition)

assessment methods and criteria

Online tasks, term paper, exam

language of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Blended Learning

semester/trimester when the course unit is delivered


name of lecturer(s)

Prof. (FH) Dr. Peter Dietrich

course unit code


type of course unit

integrated lecture

mode of delivery


work placement(s)