Colloquium Research Methodology and Data Analysis: Data Analysis Part
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Teaching
Details
Faculty Faculty of Management, Economics and Social Sciences Domain Business Administration Code UE-EGE.00451 Languages English Type of lesson Colloquium
Level Master Semester SA-2022 Schedules and rooms
Summary schedule Wednesday 18:15 - 19:00, Hebdomadaire (Autumn semester)
Hours per week 1 Teaching
Teachers Description “Data analysis with SPSS” is one component of the course “Research Methodology and Data Analysis”. The other component “Research Methodology” is offered by the Chair of Prof. Furrer. Students who want to write their bachelor or master thesis in marketing need to take this course.
For bachelor students, there is no inscription on MyUniFR available. Inscription will be handled offline by the Chairs involved. Bachelor students can get a participation certificate for the data analysis part if they have attended 12 out of 14 course weeks and submitted all exercises as expected. Later, bachelor students can validate the 3 ECTS for the two course parts in the context of their master studies (Master in Marketing: regular study plan, Master in Management: 3 out of 18 ECTS in optional courses, Master in International and European Business: 3 out of 27 ECTS in optional courses).
Master students can subscribe to the course on MyUniFR when they have submitted their master thesis. They can get a participation certificate for the data analysis part if they have attended 12 out of 14 course weeks and submitted all exercises as expected. Master students can validate the 3 ECTS for the two course parts in the context of their master studies (Master in Marketing: regular study plan, Master in Management: 3 out of 18 ECTS in optional courses, Master in International and European Business: 3 out of 27 ECTS in optional courses).
Overview of the course content (data analysis with SPSS):
- Brief introduction
- General information on the tutorial
- Functions of the SPSS menu bar
- Working with SPSS
- General information on SPSS databases
- Definition of variables
- Data input
- Calculation of reliable values for the model variables
- Reliability analysis
- Factor analysis
- Structural consistency checks
- Using a chi-square test for independence in the context of a structural consistency check
- Independent samples t-test in the context of a structural consistency check
- Analysis of variance in the context of a structural consistency check
- Test of the research hypotheses
- Transforming a metric variable into a dummy variable
- Cross-table analysis and chi-square test for independence in the context of hypotheses testing
- Comparing means
- Regression analysis
- Cluster Analysis
- Conjoint Analysis
Condition of access The course is open to Bachelor and Master students who are planning to write their thesis in marketing.
Available seats 30 Softskills No Off field No BeNeFri No Mobility No UniPop No - Brief introduction
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Dates and rooms
Date Hour Type of lesson Place 21.09.2022 18:15 - 19:00 Cours PER 21, Room F230 21.09.2022 18:15 - 19:00 Cours PER 21, Room B230 28.09.2022 18:15 - 19:00 Cours PER 21, Room F230 28.09.2022 18:15 - 19:00 Cours PER 21, Room B230 05.10.2022 18:15 - 19:00 Cours PER 21, Room B230 05.10.2022 18:15 - 19:00 Cours PER 21, Room F230 12.10.2022 18:15 - 19:00 Cours PER 21, Room B230 12.10.2022 18:15 - 19:00 Cours PER 21, Room F230 19.10.2022 18:15 - 19:00 Cours PER 21, Room B230 19.10.2022 18:15 - 19:00 Cours PER 21, Room F230 26.10.2022 18:15 - 19:00 Cours PER 21, Room B230 26.10.2022 18:15 - 19:00 Cours PER 21, Room F230 02.11.2022 18:15 - 19:00 Cours PER 21, Room F230 02.11.2022 18:15 - 19:00 Cours PER 21, Room B230 09.11.2022 18:15 - 19:00 Cours PER 21, Room B230 09.11.2022 18:15 - 19:00 Cours PER 21, Room F230 16.11.2022 18:15 - 19:00 Cours PER 21, Room B230 16.11.2022 18:15 - 19:00 Cours PER 21, Room F230 23.11.2022 18:15 - 19:00 Cours PER 21, Room F230 23.11.2022 18:15 - 19:00 Cours PER 21, Room B230 30.11.2022 18:15 - 19:00 Cours PER 21, Room B230 30.11.2022 18:15 - 19:00 Cours PER 21, Room F230 07.12.2022 18:15 - 19:00 Cours PER 21, Room B230 07.12.2022 18:15 - 19:00 Cours PER 21, Room F230 14.12.2022 18:15 - 19:00 Cours PER 21, Room F230 14.12.2022 18:15 - 19:00 Cours PER 21, Room B230 21.12.2022 18:15 - 19:00 Cours PER 21, Room F230 21.12.2022 18:15 - 19:00 Cours PER 21, Room B230 -
Assessments methods
Evaluation continue
Assessments methods By success/failure -
Assignment
Valid for the following curricula: Ma - International and European Business - 90 ECTS
Version: 2021/SA_V01
Courses > Additional courses: Any Master courses of the Faculty of Economics and Social Sciences, as well as maximum 9 ECTS from all Master programmes of the University. > Research methodology (only available for the preparation of a Marketing Master Thesis) > Research methodology
Ma - Management - 90 ECTS
Version: 2021/SA_V01
Courses: min. 72 ECTS > Elective Courses : max. 18 ECTS > Research methodology (only available for the preparation of a Marketing Master Thesis) > Research methodology
Ma - Marketing - 90 ECTS
Version: 2021/SA_V02
Courses > Data Analysis course > Research methodology (only available for the preparation of a Marketing Master Thesis) > Research methodology