Colloquium Research Methodology and Data Analysis: Data Analysis Part

  • 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):

    1. Brief introduction
      1. General information on the tutorial
      2. Functions of the SPSS menu bar
    2. Working with SPSS
      1. General information on SPSS databases
      2. Definition of variables
      3. Data input
    3. Calculation of reliable values for the model variables
      1. Reliability analysis
      2. Factor analysis
    4. Structural consistency checks
      1. Using a chi-square test for independence in the context of a structural consistency check
      2. Independent samples t-test in the context of a structural consistency check
      3. Analysis of variance in the context of a structural consistency check
    5. Test of the research hypotheses
      1. Transforming a metric variable into a dummy variable
      2. Cross-table analysis and chi-square test for independence in the context of hypotheses testing
      3. Comparing means
      4. Regression analysis
    6. Cluster Analysis
    7. 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
  • 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