Research Methods 3: Advanced Quantitative Analysis
Niveau
Second cycle, master's
Learning outcomes of the courses/module
The participants:
• are able to distinguish causal relationships from mere correlations and to develop empirical research designs accordingly in order to enable robust statements about cause-and-effect relationships.
• can implement and interpret multivariate methods of regression analysis.
• can translate research questions from business practice into a model framework and test them through hypothesis formation.
• can explain the standard model of OLS regression and critically reflect on the limitations and potential of results.
• are able to use statistical software such as SPSS or R to carry out empirical analyses independently.
• are able to distinguish causal relationships from mere correlations and to develop empirical research designs accordingly in order to enable robust statements about cause-and-effect relationships.
• can implement and interpret multivariate methods of regression analysis.
• can translate research questions from business practice into a model framework and test them through hypothesis formation.
• can explain the standard model of OLS regression and critically reflect on the limitations and potential of results.
• are able to use statistical software such as SPSS or R to carry out empirical analyses independently.
Prerequisites for the course
none
Course content
• The difference between correlation and causality
• Multivariate procedures and OLS regression
• Estimating coefficients with hypothesis testing
• Interpreting indicators of model goodness of fit
• Implementing regression analysis with the statistical software SPSS or R
• Multivariate procedures and OLS regression
• Estimating coefficients with hypothesis testing
• Interpreting indicators of model goodness of fit
• Implementing regression analysis with the statistical software SPSS or R
Recommended specialist literature
• 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)
• Wooldridge, J. M.: Introductory econometrics a modern approach. South-Western cengage learning (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)
• Wooldridge, J. M.: Introductory econometrics a modern approach. South-Western cengage learning (latest edition)
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
2