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Module code: MAMS-110 |
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4VU (4 hours per week) |
6 |
Semester: 1 |
Mandatory course: yes |
Language of instruction:
German |
Assessment:
Written exam (90 minutes / can be repeated semesterly) and project work (can be repeated annually)
[updated 20.11.2019]
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DFMM-MAMS-110 Management Sciences, Master, ASPO 01.10.2018
, semester 1, optional course
MAMS-110 (P420-0020, P420-0021) Marketing Science, Master, ASPO 01.04.2016
, semester 1, mandatory course
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60 class hours (= 45 clock hours) over a 15-week period. The total student study time is 180 hours (equivalent to 6 ECTS credits). There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
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Recommended prerequisites (modules):
None.
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Recommended as prerequisite for:
MAMS-240 Empirical Marketing Seminar
[updated 11.10.2023]
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Module coordinator:
Prof. Dr. Tatjana König |
Lecturer: Prof. Dr. Tatjana König
[updated 14.09.2021]
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Learning outcomes:
After successfully completing this module, students will: • be able to design, carry out and evaluate empirical studies, • be able to derive the appropriate multivariate method for a given problem, • be able to evaluate the application and quality of different multivariate methods, as well as the quality of the construct measurement (1st generation) on the basis of the respective quality criteria, • be able to interpret the results of multivariate procedures, • be able to process analysis results for information and present them clearly in a presentation,
[updated 11.10.2021]
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Module content:
• Empirical survey procedure including questionnaire design (scales, scale levels), survey methods and hypothesis tests, • Significance and overview of multivariate procedures, as well as the relevant procedure, special features of SPSS, benefits for marketing decisions in particular of: - t-test - Regression analysis - Analysis of variance - Contigency analysis - Factor analysis - Cluster analysis - Conjoint analysis
[updated 11.10.2021]
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Teaching methods/Media:
Lecture with tutorial and use of SPSS
[updated 20.11.2019]
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Recommended or required reading:
• Bacher, J. (aktuelle Auflage): Clusteranalyse, München. • Backhaus, K., Erichson, B., Plinke, W., Weiber, R. (aktuelle Auflage): Multivariate Analysemethoden – Eine anwendungsorientierte Einführung, Hamburg. • Berekoven, L., Eckert, W., Ellenrieder, P. (aktuellste Aufl.), Marktforschung - Methodische Grundlagen und praktische Anwendung, Wiesbaden. • Hair, J.F. (Jr.), Black, W., C., Babin, B.J., Anderson, R.E., Tatham, R.L. (aktuellste Aufl.): Multivariate Data Analysis, Upper Sadle River, New Jersey. • Herrmann, A., Homburg, Ch., Klarmann, M. (Hrsg.): Handbuch Marktforschung – Methoden, Anwendungen, Praxisbeispiele, aktuelleste Auflage, Wiesbaden. • Homburg, Ch, (bzw. Homburg/Krohmer, H.) (aktuelle Aufl.), Marketingmanagement, Wiesbaden. • Rudolf, M., Müller, J. (aktuellste Aufl.): Multivariate Verfahren, Göttingen u.a. • Sarstedt, M., Mooi, E. (2019), A Concise Guide to Market Research: The Process, Data, Methods, Using IBM SPSS Statistics, Springer (e-book)
[updated 11.10.2021]
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