Quantitative Analysis

Module Code
1103
Module Coordinators
Prof. Dr. Stefanie Wannow
Teachers
Prof. Dr. Stefanie Wannow
Learning Objectives

Participants shall learn to correctly choose and apply different statistical methods for given marketing or business problems and to interpret the statistical results. The students will learn how to use the statistical software package IBM SPSS for the respective analyses.

Contents

Descriptive statistics, validity and reliability tests, univariate and bivariate tests of significance, correlation and regression analysis, ANOVA, factor analysis, cluster analysis, discriminant analysis, multidimensional scaling, conjoint analysis.

Expertise
COM_THM_ORGANIZER_TWO_STARS
Method Competence
COM_THM_ORGANIZER_THREE_STARS
Social Competence
COM_THM_ORGANIZER_ONE_STAR
Self Competence
COM_THM_ORGANIZER_TWO_STARS
Duration in Semester
1
Instruction Language
English
Total Effort
6 CrP; an estimated 6 hours, of which approximately 4 are spent in class.
Weekly School Hours
4
Requirements for the awarding of Credit Points

end-of-term test (90 min.)

Availability
Yearly
References
  • Backhaus et al., Multivariate Analysemethoden: Eine anwendungsorientierte Einführung, 13. Aufl., Springer, 2011.
  • Bryman, A., Cramer, D.: Quantitative Data Analysis with IBM SPSS, Routledge 2013.
  • Hair et al.,: Multivariate Data Analysis, 7th ed., Prentice Hall, 2009.
  • Malhotra, N.K.: Marketing Research: An Applied Orientation, Pearson, 6th ed., 2012.
  • Levine, D. M., Krehbiel, T. C., Berenson M. L.: Business Statistics, A First Course, 6th ed., Pearson, 2012.