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Quantitative Methods

Module name (EN):
Name of module in study programme. It should be precise and clear.
Quantitative Methods
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Management, Master, ASPO 01.10.2016
Module code: MAIM-151
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P420-0309
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 1
Mandatory course: yes
Language of instruction:
English
Assessment:
Written examination

[updated 18.08.2016]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAIM-151 (P420-0309) International Management, Master, ASPO 01.10.2012 , semester 1, mandatory course
MAIM-151 (P420-0309) International Management, Master, ASPO 01.10.2016 , semester 1, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
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.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Teresa Melo
Lecturer:
Prof. Dr. Tatjana König
Prof. Dr. Teresa Melo


[updated 18.08.2016]
Learning outcomes:
Sub-topic International Market Research and Analysis:
At the end of the course the students should be able to:
- Analyze a company’s information requirements for a defined transnational problem and conceive a data
  collection design based upon this.
- Transfer questions from the field of market research to different cultures
- Take a critical look at transnational data and attribute an appropriately high value to the ethical requirements
  of  international market research  
 
  
Sub-topic - Quantitative Methods:
At the end of the course the students should be able to:
• use different methods to conduct statistical estimation and hypothesis testing,
• prepare and carry out a computer-aided data analysis for problems with an international background and interpret
  the results,
• explain and discuss the structure and procedure of non-parametric methods and use these for the analysis of
  empirical data,
• identify and critically discuss the limits of the statistical methods used.


[updated 02.06.2016]
Module content:
Sub-topic - International Market Research and Analysis:
•Design international market research studies (questions, survey design, types of scale and culture-specific
 response behavior)
•Challenges in executing and evaluating international
 market research studies (data comparability, room for interpretation,
 data compression and loss of information)
•Problems and error sources in international data acquisition and  
 evaluations
•Traditional vs. innovative survey techniques (trends from the USA)
  
Sub-topic - Quantitative Methods:
• Sampling distributions (basic terms, sampling statistics, central limit theorem)
• Parameter estimation (point and interval estimation)
• Hypothesis testing (for example, sample mean and sample variance)
• Non-parametric methods: goodness-of-fit tests, independence tests and homogeneity tests, distribution-free methods
• Selected methods of multivariate data analysis (for example: analysis of variance, factor analysis and cluster analysis)
• Statistical software (for example: SPSS, Excel Data Analysis)


[updated 02.06.2016]
Teaching methods/Media:
Lecture and discussion, supported by overhead transparencies (beamer) and presentation board (theory and examples).
  
The sub-topic “Quantitative Methods” will also include exercises. In order to support independent work, exercise sheets will be made available. These will cover the wide application spectrum of the methods taught. The solutions will be discussed with the students subsequently (in part with statistics software). The lecture, as well as the exercises will be available to the students in electronic form.


[updated 06.01.2016]
Recommended or required reading:
Sub-topic - International Market Research and Analysis:
Birn, R.J.: The Handbook of International Market Research Techniques, 2nd ed., Kogan Page, 2002
Craig, S.C., Douglas, S.P.: International Market Research, John Wiley & Sons, latest ed.
Kumar, V.: International Marketing Research, Prentice Hall, latest ed.
  
Sub-topic - Quantitative Methods:
Bowerman, B.L., O´Connell, R.T., Murphree, E.S.: Business Statistics in Practice, 6th edition, McGraw-Hill/Irvin, 2011
Dretzke, B.: Statistics with Microsoft Excel, 5th edition, Pearson, 2012
Downing, D., Clark, J.: Business Statistics: Application of statistical methods to business situations, 5th edition, Barron’s Educational Series, 2010
Field, A.: Discovering Statistics using IBM SPSS Statistics, 4th edition, SAGE Publications, 2013
Groebner, D.F., Shannon, P.W., Fry, P.C., Smith, K.D.: Business Statistics: A decision-making approach, 9th edition, Prentice Hall, 2013
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis, 7th edition, Prentice Hall, 2010
Sweeney, D.J., Williams, T.A., Anderson, D.R.: Fundamentals of Business Statistics, 6th edition, Cengage Learning Emea, 2011


[updated 06.01.2016]
 
[Sun Nov 24 07:17:42 CET 2024, CKEY=iqm, BKEY=imm3, CID=MAIM-151, LANGUAGE=en, DATE=24.11.2024]