Exam number: 3268
Semester: from 1st semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Each third semester
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Martin Eisend
Name of the professor: Prof. Dr. Martin Eisend
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.) 45 h; self-study: 135 h
Contact hours (per week in semester): 3
Methods and duration of examination:
Successful written exam (120 min.)
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
Participants will learn how to apply common analytical methods and to use appropriate statistical software in order to analyze quantitative data. The aim of the course is to provide skills and knowledge that will help students to understand methods and results of empirical studies and to give them guidance on how to conduct empirical research on their own.
Außerfachliche und überfachliche Kompetenzen:
- Arbeiten am Computer, Arbeiten mit Statistiksoftware
- Akademischer Diskurs und wissenschaftliche Diskussion mündlich
Contents of the module:
- Research designs and data collection procedures, sampling
- Data collection, data preparation
- Descriptive data analysis
- Multivariate data analysis (e.g., regression analysis, analysis of variance, factor analysis, cluster analysis, etc.)
Teaching and learning methods:
Literature (compulsory reading, recommended literature):
Janssens W, Wijnen K, De Pelsmacker P, Van Kenhove P, 2008, Marketing Research With SPSS, Harlow: Prentice Hall.
An extended list of useful literature will be provided at the beginning of the term.
Registration in Moodle Viadrina required.