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Course objectives

The objective of this course is to bridge a statistical introduction and an application of methods in marketing practice. This course helps students to understand the key methods that can be used to analyze dependencies (in particular analysis of variance and regression analysis) and learn to interpret the results from these analyses. As such, students develop the skills needed to analyze empirical datasets using descriptive statistics and learn to statistically test hypotheses regarding the structure of the data at hand.

Specifically, this course aims to enable students to

  1. get acquainted with the opportunities and limitations associated with empirical business research methods
  2. develop the skills needed to analyze empirical datasets using descriptive statistics and learn to statistically test hypotheses regarding the structure of the data at hand
  3. become familiar with standard data collection methods, such as qualitative studies, experimental studies, surveys, and secondary data
  4. comprehend the general opportunities and challenges of the standard collection methods
  5. prepare for writing seminar papers, master thesis or advanced methods classes.
Course nameCreditsDetailsTerm
CC 503 Empirical Methods6

Course details

Spring semester Fall semester

Course information

Lecturer Prof. Dr. Arnd Vomberg
Forms Lecture and exercise sessions
Credit Points 6 ECTS
Hours per Week 3 hours
Language English
Grading Written exam
Exam Date tba (90 Minutes)
  • Course Outline

    The module provides an overview of the foundations and methods of empirical research in business administration. The following topics will be addressed:

    • theoretical foundations of empirical research, derivation of research subjects and hypotheses
    • statistical foundations of empirical research (e.g., descriptive statistics, probability distributions, key test statistics)
    • introduction to qualitative research
    • introduction to experimental research
    • introduction to survey research
    • introduction to reseach based on secondary data (structured and unstructured data)
    • introduction to machine learning approaches (text analytics, image analytics)
    • strengths and weaknesses of alternative qualitative and quantitative research methods
  • Requirements

  • E-Learning

    You will get actual information and supplementary documents via the platform ILIAS. Please enter the group CC 503 “Empirical Methods” on ILIAS to get access to the latest information.

  • Recognition in the context of a stay abroad

    The recognition of the module CC 503 in the context of the Master's program takes place according to the guidelines and by the examination board for business administration.

    If the course CC 503 is to be taken as part of a stay abroad, a learning agreement must be concluded with me before the start of the stay. In principle, the recognition in the context of the Master's degree requires that the level of the courses abroad corresponds to the Master's level at the University of Mannheim. Graduate courses of foreign universities usually fulfill this requirement.

     

    If recognition is to be granted, please contact me. Basically, I need a syllabus from the course to be recognized, which shows the exact content of the course and its scope, as well as the learning agreement.

     

    If courses from other German universities are to be recognized, a similar examination will take place. However, this examination is carried out centrally by the Business Administration Examination Board. Therefore, please contact the BWL Examination Board first if you wish to receive recognition from another German university.