Research Methods 2: Quantitative Analysis
Niveau
Second cycle, master's
Learning outcomes of the courses/module
The participants:
• can explain basic statistical concepts and apply them to a data set.
• can extract information from data sets and visualize it graphically using suitable charts.
• can select suitable descriptive and inferential statistical methods, carry them out correctly and interpret the results critically.
• can use common software tools (e.g., R, Python, SPSS) to prepare data sets and analyze them for business questions.
• are able to design and implement their own empirical analyses.
• can explain basic statistical concepts and apply them to a data set.
• can extract information from data sets and visualize it graphically using suitable charts.
• can select suitable descriptive and inferential statistical methods, carry them out correctly and interpret the results critically.
• can use common software tools (e.g., R, Python, SPSS) to prepare data sets and analyze them for business questions.
• are able to design and implement their own empirical analyses.
Prerequisites for the course
None
Course content
• Descriptive statistics and inferential statistics
• Data types and data analysis
• Information gathering and visualization
• Identification and interpretation of statistical instruments
• Implementation of analyses with statistical software
• Data types and data analysis
• Information gathering and visualization
• Identification and interpretation of statistical instruments
• Implementation of analyses with statistical software
Recommended specialist literature
• Charry, K.; Coussement, K.; Demoulin, N.: & Heuvinck, N.: Marketing research with IBM® SPSS statistics: a practical guide. Routledge. (latest edition)
• Field, A.: Discovering statistics using IBM SPSS statistics. Sage publications limited (latest edition)
• Sallis, J. E.; Gripsrud, G.; Olsson, U. H.; & Silkoset, R.: Research methods and data analysis for business decisions. Springer International Publishing (latest edition)
• Field, A.: Discovering statistics using IBM SPSS statistics. Sage publications limited (latest edition)
• Sallis, J. E.; Gripsrud, G.; Olsson, U. H.; & Silkoset, R.: Research methods and data analysis for business decisions. Springer International Publishing (latest edition)
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
1