Quantitative Research Methods

2nd semester Master: 1st Study Cycle

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

2. Semester: no information

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

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.

• Written exam • Online questions

German

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1.0

• Blended Learning

2

Situm Mario

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seminar-degree

Compulsory

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