Course: Multivariate Data Analysis (5301-441)

Persons:

• Prof. Dr. Alfonso Sousa-Poza (verantwortlich)

Type of Course:

lecture with exercise

In-Class Hours Per Week:

3

Contents:

This course provides students with the information they need to understand and apply multivariate data analysis. It is an applications-oriented introduction to multivariate analysis, thereby placing more emphasis on the application of methods than in their formal properties. By reducing heavy statistical research into fundamental concepts, the course explains to students how to understand and make use of the results of specific statistical techniques. Key techniques such as multiple regression analysis, factor analysis, cluster analysis, multivariate analysis of variance, and logistic regressions will be dealt with. The course will also provide an introduction into panel analysis.

Literature:

Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson, Multivariate Data Analysis: A Global Perspective, 7th Edition, Pearson, 2010.

Jeffrey M. Wooldridge, Introductory Econometrics ─ A Modern Approach, 5th Edition, South-Western, 2009.

Location:

Hohenheim

Module:

• 5301-470 Multivariate Data Analysis (compulsory)
• 5301-440 Management-Methodology II (compulsory)