International Business Studies FT
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Research Methods II: Quantitative Analysis

level of course unit

2nd study cycle, Master

Learning outcomes of course unit

The students are able to:
• distinguish causality from correlation and design empirical analyses accordingly.
• implement and interpret multivariate methods of regression analysis.
• transfer research questions from business practice into a model framework and test them by hypothesis formation.
• explain the standard model of OLS regression and critically reflect limitations / potentials of results.
• use statistical software such as STATA or R to independently implement empirical analyses.

prerequisites and co-requisites

Course Research Methods I

course contents

• Multivariate methods and OLS regression
• Estimation of coefficients with hypothesis tests
• Interpretation of indicators for goodness of fit model
• Multicollinearity and heteroskedasty
• Statistical software like STATA or R

recommended or required reading

• Wooldridge, Jeffrey: Introductory Econometrics A Modern Approach. Cengage Learning (latest edition)
• Heiss, Florian: Using R for Introductory Econometrics. CreateSpace Independent Publishing Platform (latest edition)
• Stock, James; Watson, Mark: Introduction to Econometrics. Pearson Education Limited (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)