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 about the most common quantitative analytical techniques that are used in management and marketing research. They will learn how to perform statistical analysis in SPSS. They will further learn how to evaluate and interpret quantitative analysis procedures and results that are performed by scholars and by research institutions (e.g., market research companies).
Contents of the module:
- Research process, research designs, sampling, sampling, measurement and scaling
- Data collection and data preparation
- Descriptive data analysis
- Hypothesis testing
- Multivariate data analysis (regression analysis, analysis of variance, factor analysis, cluster analysis)
Teaching and learning methods:
Special features (e.g. percentage of online-work, practice, guest speaker, etc.):
Students will be assigned to one of the tutorial groups during the first class meeting. That is, if students want to participate in the tutorial, they must attend the first class meeting. Late assignments are not possible. No exceptions will be made.
Literature (compulsory reading, recommended literature):
An extended list of useful literature will be provided in the Syllabus.
Registration in Moodle Viadrina required.