Corporate Transformation Management PT
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Quantitative Research Methods

level of course unit

2nd semester Master: 1st Study Cycle

Learning outcomes of course unit

The students:
• are able to calculate basic statistical parameters
• are able to develop variables on the basis of scales
• are able to create a data set with different variables for software-based statistical analysis
• know the difference between descriptive and inferential statistics
• are able to apply advanced tools and techniques of statistics to business-related problems
• are able to interpret the results of statistical analyses and to derive business-related decisions from them
• are able to set up a system for the early detection of business crises

prerequisites and co-requisites

2. Semester: no information

course contents

I. Basics:
• Differentiation of quantitative from qualitative research
• Empirical data and distributions of data (discrete vs. continuous distribution, distribution functions, visualization of distributions, etc.)
• Data search and creation of a database for software-based analysis

II. Descriptive Statistics:
• Definition and calculation of selected statistical parameters (mean, median, maximum, minimum, variance, standard deviation, etc.)
• Measures of correlation between several series of measurements (covariance, correlation)
• Dealing with outliers in data

III. Closing statistics:
• Tests for differences (ANOVA, t-test, U-test, H-test etc.)
• Supplementary correlation analysis (factor analysis, principal component analysis)

IV. Questionnaire design and scale evaluation
• Application of scales and development of a questionnaire
• Implementation of a pre-test
• Development of constructs
• Confirmatory factor analysis and Cronbach's alpha

V. Selected statistical techniques
• Univariate and multivariate regression analysis
• Multivariate linear discriminant analysis
• Logistic regression

recommended or required reading

Bonart, T. & Bär, J. (2018) Quantitative Betriebswirtschaftslehre - Band I: Grundlagen, Operations Research, Statistik, Wiesbaden.
Burns, A. & Burns, A. (2008) Business research methods and statistics using SPSS, London.
Eckstein, P. P. (2016) Angewandte Statistik mit SPSS: Praktische Einführung für Wirtschaftswissenschaftler, Wiesbaden.
Exler, M. W. & Situm, M. (2019) (Hrsg.) Restrukturierungs- und Turnaround-Management: Strategien, Erfolgsfaktoren und Best Practice für die Transformation, Berlin.
Foster, J., Barkus, E. & Yavorsky, C. (2006) Understanding and using advanced statistics, London.

assessment methods and criteria

• Written exam
• Online questions

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)

Situm Mario

year of study


recommended optional program components


course unit code


type of course unit


mode of delivery


work placement(s)



Situm Mario
Prof. (FH) DDr. Mario Situm, MBA
Director of Studies
+43 5372 71819 147
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Internationales Symposium Restrukturierung

Am 22. Oktober 2021 findet das „10. Internationale Symposium Restrukturierung“ an der Fachhochschule Kufstein Tirol statt.

Im Mittelpunkt der Jubiläumsveranstaltung steht das Rahmenthema Wie geht´s weiter?.

Restrukturierungs- und Turnaround-Management

Restrukturierungs- und Turnaround-Management, 2. Auflage, Exler (Hrsg.)

Mehr Infos:

Restrukturierungs-Qualitätssiegel für Kufsteiner Masterstudiengang

Der berufsbegleitende Masterstudiengang Unternehmensrestrukturierung & -sanierung ist nach einjähriger Begutachtung offiziell TMA-zertifiziert – das renommierte Qualitätssiegel des Verbandes der deutschen Restrukturierungsexperten (TMA).

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