Module: Questionnaire Design and Data Analysis in SPSS (4202-420)

Persons:

• Prof.Dr. Sebastian Hess (verantwortlich)

Degree Program:

• Organic Agriculture and Food Systems (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Agricultural Economics (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Agricultural Economics (Master, since 01.10.2014)
  3. Semester, elective
• Organic Agriculture and Food Systems (Master, since 01.10.2014)
  3. Semester, elective
• Agribusiness (Master, since 01.10.2014)
  2. Semester, semi-elective
• Agribusiness (Master, since 01.10.2014)
  3. Semester, semi-elective
• Agribusiness (Master, since 01.04.2019)
  3. Semester, semi-elective
• Agribusiness (Master, since 01.04.2019)
  2. Semester, semi-elective

Relation to other Modules:

supplement and deepening to lecture Qualitätsmanagement in der Agrar- und Ernährungswirtschaft und in der Pflanzen- und Tierproduktion (4202-411) module Marketing in der Ernährungswirtschaft (4202-220)

Prerequisites for Attendance:

Basic knowledge in statistics

Sprache:

English

ECTS:

6 credits

Frequency:

every semester

Length of the Module:

1 semester

Compulsory assignment:

Written paper (30 %) with presentation (10 %) in groups; written paper in the form of an exercise in groups (10 %)

Final examination:

Written exam (50 %)

Length of the examination:

60 minutes

Workload:

30 h presence in lecture + 130-150 h self-study (preparation at home) = 160-180 h workload

Professional competences:

After successfully completing this course students are able to

• develop their own research questions
• create own questionnaires and avoid common mistakes
• convert questionnaire data into SPSS
• analyze obtained data using descriptive statistics in SPSS
• apply multivariate methods in SPSS.

Details are announced in the lecture.

Key competences:

Students learn how to generally use statistics software and obtain a general understanding for it while learning for the exam, by following up on lectures and while preparing their seminar contribution. They are able to reflect research hypothesis critically and draw the right conclusions for their work. By working in groups in the seminar, students practice team work and time management. While writing the seminar paper and designing a questionnaire further improve their scientific articulateness, presenting in the seminar enhances their oral communication skills.
They are finally able to apply statistic concepts in other works.

Courses