Education Research Current Organisation and Cooperation NL
Login as
Prospective student Student Employee
Bachelor Master VU for Professionals
Exchange programme VU Amsterdam Summer School Honours programme VU-NT2 Semester in Amsterdam
PhD at VU Amsterdam Research highlights Prizes and distinctions
Research institutes Our scientists Research Impact Support Portal Creating impact
News Events calendar Energy in transition
Israël and Palestinian regions Women at the top Culture on campus
Practical matters Mission and core values Entrepreneurship on VU Campus
Organisation Partnerships Alumni University Library Working at VU Amsterdam
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.

FSS – Advanced Methods: Qualitative Methods

FSS – Advanced Methods: Qualitative Methods

Qualitative analyses allow a deep understanding of the changes and challenges of our social world, by unravelling how individuals make sense of their experiences, their actions and beliefs, their identities, their lived experiences and their position in society.

Qualitative methods are ideally suited to zoom in on the lived experience of individuals, to follow the knitty-gritty of everyday processes, to draw close to subjects and situations, and thus to penetrate people’s local worlds. At the same time, the use of such methods also requires zooming out again to understand what happens within ‘small’ worlds within larger and long-term contexts and thus to grasp the bigger picture. Qualitative researchers need to learn ‘to see the world in a grain of sand’.

In the digital age, the methodological toolboxes are renewed to reflect the complexities and dynamic character of online content. For instance, nowadays life stories are not only recorded through face-to-face interviews but also through life stories in the digital domain (e.g. Facebook, Instagram). Content analysis provides a powerful tool to capture the building blocks of interactions in the digital space and is useful for combining with quantitative methods. Digital ethnographies, or netnographies, show ways to capture social media’s complexity in the lives of people.

 

Course description

Course objectives

In this course, we will work in different formats: 1) Interactive lectures: The interactive lectures, in tandem with your own reading of the literature and preparations (e.g., video lectures, short clips) will provide you with a thorough understanding of the discussed methods. The duration of the lectures is 1 hour 45 minutes (including a 15-minute break).

2) Workshop: during the workshop, you will presentation of selected –exemplary papers, mainly analyzing their structure and assessing the process of joining together the different parts of the research including. The duration of the tutorial is 1 hour 45 minutes (including breaks when needed).

3) Presentations: During weekly presentations, you will share with your peers the experiences of the week and the results that you produced. The duration of the presentations is 1 hour 45 minutes, including breaks when needed.

4) Tutoring: During tutoring, Individual meeting with students to discuss their research objectives and how to go about it. The duration of tutoring sessions vary.

Study Characteristics

  • Language: English
  • ECTS: 6
  • Type of education: In class
  • Self paced: No
  • Academic skill: Methods                
  • Available to: PhD students VU 
  • Graduate School: Graduate School of Social Sciences
  • Start date: 10.01.2023
  • End date: 02.02.2023
  • Discipline: Social Sciences
  • Min. number of students: -
  • Max. number of students: 5
  • Admission criteria: PhD candidate from the VU-GSSS
  • Conclusing assessment: yes
  • Assessment type: Written assignments and presentations
  • With certificate: yes
  • Roster/schedule info:

11 sessions in total, schedule information available here.

  • Registration deadline: 1.12.2022
  • Available to: PhD students VU-GSSS only
  • Name of teacher: prof. D. Dalakoglou
  • Selected Qualitative Methods

    Course description

    Course objectives

    In this course, we will work in different formats: 1) Interactive lectures: The interactive lectures, in tandem with your own reading of the literature and preparations (e.g., video lectures, short clips) will provide you with a thorough understanding of the discussed methods. The duration of the lectures is 1 hour 45 minutes (including a 15-minute break).

    2) Workshop: during the workshop, you will presentation of selected –exemplary papers, mainly analyzing their structure and assessing the process of joining together the different parts of the research including. The duration of the tutorial is 1 hour 45 minutes (including breaks when needed).

    3) Presentations: During weekly presentations, you will share with your peers the experiences of the week and the results that you produced. The duration of the presentations is 1 hour 45 minutes, including breaks when needed.

    4) Tutoring: During tutoring, Individual meeting with students to discuss their research objectives and how to go about it. The duration of tutoring sessions vary.

    Study Characteristics

    • Language: English
    • ECTS: 6
    • Type of education: In class
    • Self paced: No
    • Academic skill: Methods                
    • Available to: PhD students VU 
    • Graduate School: Graduate School of Social Sciences
    • Start date: 10.01.2023
    • End date: 02.02.2023
    • Discipline: Social Sciences
    • Min. number of students: -
    • Max. number of students: 5
    • Admission criteria: PhD candidate from the VU-GSSS
    • Conclusing assessment: yes
    • Assessment type: Written assignments and presentations
    • With certificate: yes
    • Roster/schedule info:

    11 sessions in total, schedule information available here.

    • Registration deadline: 1.12.2022
    • Available to: PhD students VU-GSSS only
    • Name of teacher: prof. D. Dalakoglou

Quick links

Homepage Culture on campus VU Sports Centre Dashboard

Study

Academic calendar Study guide Timetable Canvas

Featured

VUfonds VU Magazine Ad Valvas

About VU

Contact us Working at VU Amsterdam Faculties Divisions
Privacy Disclaimer Veiligheid Webcolofon Cookies Webarchief

Copyright © 2024 - Vrije Universiteit Amsterdam