Colloquium Research Methodology and Data Analysis: Data Analysis Part
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Enseignement
Détails
Faculté Faculté des sciences économiques et sociales et du management Domaine Gestion d'entreprise Code UE-EGE.00451 Langues Anglais Type d'enseignement Colloque
Cursus Master Semestre(s) SA-2022 Horaires et salles
Horaire résumé Mercredi 18:15 - 19:00, Hebdomadaire (Semestre d'automne)
Heures par semaine 1 Enseignement
Enseignants 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
Conditions d'accès The course is open to Bachelor and Master students who are planning to write their thesis in marketing.
Places disponibles 30 Softskills Non Hors domaine Non BeNeFri Non Mobilité Non UniPop Non - Brief introduction
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Dates et salles
Date Heure Type d'enseignement Lieu 21.09.2022 18:15 - 19:00 Cours PER 21, salle B230 21.09.2022 18:15 - 19:00 Cours PER 21, salle F230 28.09.2022 18:15 - 19:00 Cours PER 21, salle F230 28.09.2022 18:15 - 19:00 Cours PER 21, salle B230 05.10.2022 18:15 - 19:00 Cours PER 21, salle F230 05.10.2022 18:15 - 19:00 Cours PER 21, salle B230 12.10.2022 18:15 - 19:00 Cours PER 21, salle F230 12.10.2022 18:15 - 19:00 Cours PER 21, salle B230 19.10.2022 18:15 - 19:00 Cours PER 21, salle B230 19.10.2022 18:15 - 19:00 Cours PER 21, salle F230 26.10.2022 18:15 - 19:00 Cours PER 21, salle B230 26.10.2022 18:15 - 19:00 Cours PER 21, salle F230 02.11.2022 18:15 - 19:00 Cours PER 21, salle F230 02.11.2022 18:15 - 19:00 Cours PER 21, salle B230 09.11.2022 18:15 - 19:00 Cours PER 21, salle F230 09.11.2022 18:15 - 19:00 Cours PER 21, salle B230 16.11.2022 18:15 - 19:00 Cours PER 21, salle B230 16.11.2022 18:15 - 19:00 Cours PER 21, salle F230 23.11.2022 18:15 - 19:00 Cours PER 21, salle F230 23.11.2022 18:15 - 19:00 Cours PER 21, salle B230 30.11.2022 18:15 - 19:00 Cours PER 21, salle F230 30.11.2022 18:15 - 19:00 Cours PER 21, salle B230 07.12.2022 18:15 - 19:00 Cours PER 21, salle B230 07.12.2022 18:15 - 19:00 Cours PER 21, salle F230 14.12.2022 18:15 - 19:00 Cours PER 21, salle B230 14.12.2022 18:15 - 19:00 Cours PER 21, salle F230 21.12.2022 18:15 - 19:00 Cours PER 21, salle F230 21.12.2022 18:15 - 19:00 Cours PER 21, salle B230 -
Modalités d'évaluation
Evaluation continue
Mode d'évaluation Par réussi/échec -
Affiliation
Valable pour les plans d'études suivants: 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 (uniquement diponible pour la préparation d'un travail de master en Marketing) > Research methodology
Ma - Management - 90 ECTS
Version: 2021/SA_V01
Cours: min. 72 ECTS > Cours à option: max. 18 ECTS > Research methodology (uniquement diponible pour la préparation d'un travail de master en Marketing) > Research methodology
Ma - Marketing - 90 ECTS
Version: 2021/SA_V02
Cours > Cours d'analyse de données > Research methodology (uniquement diponible pour la préparation d'un travail de master en Marketing) > Research methodology