MKT 520: Market Research
Contents
This module gives an overview of the market research process and deals with methods for data analysis and interpretation. The emphasis is on multivariate methods of data analysis. In presenting those analytical methods, a special focus is on discussing strengths and weaknesses of different methods and on possible fields of application in market research projects. Moreover, the application of different methods by means of common statistical software packages will be demonstrated.
Learning outcomes
Participants gain a sound knowledge of how market research projects are conducted and are able to critically evaluate market research projects. Especially, students will have an understanding of the data analysis methods used in market research and how these are applied by means of statistical software. The students are familiar with the strengths and weaknesses of the presented methods and know their fields of application within market research projects.
Necessary prerequisites
–
Recommended prerequisites
Module CC 503, Basic marketing and statistic knowledge on Bachelor level / B.Sc. Business Administration
Forms of teaching and learning | Contact hours | Independent study time |
---|---|---|
Lecture | 2 SWS | 9 SWS |
Exercise class | 2 SWS | 5 SWS |
ECTS credits | 6 |
Graded | yes |
Workload | 180h |
Language | English |
Form of assessment | Written exam (60 min) |
Restricted admission | no |
Further information | – |
Examiner Performing lecturer | Prof. Dr. Florian Kraus Prof. Dr. Florian Kraus |
Frequency of offering | Spring semester |
Duration of module | 1 semester |
Range of application | M.Sc. MMM, M.Sc. WiPäd, M.Sc. VWL, M.Sc. Wirt. Inf., LL.M., MAKUWI |
Preliminary course work | – |
Program-specific Competency Goals | CG 1, CG 4 |
Course outline | 1. Market Research Basics 1.1. Fundamentals of market research 1.2. Determination of the data collection method 1.3. Sampling 1.4. Design of the research instrument 1.5. Data collection 1.6. Editing and coding of data 2. Market Research Methods: Multivariate Data Analysis 2.1. Analysis of Interdependence 2.1.1. Exploratory Factor Analysis 2.1.2. Confirmatory Factor Analysis 2.1.3. Cluster Analysis including Market Segmentation 2.2. Analysis of Dependence 2.2.1. Analysis of Variance 2.2.2. Multiple Regression Analysis 2.2.3. Structural Equation Modeling 2.2.4. Conjoint Analysis |